InferenceJobs

...Aspects: - Inference Speed: Achieving a balance of optimal inference speed is vital for this project. The desired inference speed for the evaluation stands at a moderate level when considering 2000 users. - Total Processing Accuracy: I'm looking to ensure the total processing accuracy of this evaluation is high. - TPA (Total Processing Accuracy): Aspects of TPA are crucial for this project; we aim for a balanced importance between total processing accuracy and inference speed. - Implement this on a shared googleColab or Jupyternotebook for on-demand use of the application Ideal Skills and Experience: - Proficiency in Korean language and understanding of language nuances. - Previous experience with data evaluation using OpenAI API calls. - Proven track r...

...Aspects: - Inference Speed: Achieving a balance of optimal inference speed is vital for this project. The desired inference speed for the evaluation stands at a moderate level when considering 2000 users. - Total Processing Accuracy: I'm looking to ensure the total processing accuracy of this evaluation is high. - TPA (Total Processing Accuracy): Aspects of TPA are crucial for this project; we aim for a balanced importance between total processing accuracy and inference speed. - Implement this on a shared googleColab or Jupyternotebook for on-demand use of the application Ideal Skills and Experience: - Proficiency in Korean language and understanding of language nuances. - Previous experience with data evaluation using OpenAI API calls. - Proven track r...

...This model will be deployed in a .ipynb notebook for model training and will result in a .h5 model for deployment. Key Project Details: - **Purpose:** This model is intended to serve as an educational resource, specifically to cater to the needs of the general public. - **Deployment Platform:** The final model will not be deployed on any specific platform but will be available for training and inference in a .ipynb notebook. Ideal Freelancer: - Proficient in Python and MediaPipe for real-time hand tracking - Experience in developing machine learning models, especially in TensorFlow/Keras for the .ipynb and .h5 formats. - Familiarity with sign language, particularly Arabic sign language, would be advantageous. - A background in educational technology or experience in creating ed...

I am building an AI Inference Hub where users can use any open-source model on a pay-as-you-go basis. The application is halfway done, however I cannot continue building the app. I need someone to continue developing on top of the already existing project. You will be given the supabase token and the existing sourcecode Requirements: - Supabase - Sveltekit - Skeleton UI (Sveltekit UI library) - Midtrans Authentication: - Setup a login and register page using the supabase SDK that also allows users to register/login using third parties such as github, google, etc. - Prompt user to input billing info on register. Settings: - User page: - Design and create an intuitive page for users to edit their information - Tokens page: - Design a page for user to retrieve their API token...

...of statistical and probability calculations. Key Requirements: - The code should be thoroughly tested and debugged to ensure it functions correctly - The code should be capable of performing complex statistical and probability calculations, such as: - Descriptive statistics - Hypothesis testing - Regression analysis - Probability distributions - Conditional probability - Bayesian inference Ideal Skills: - Expertise in Python programming - Strong background in statistics - Experience with statistical libraries in Python (e.g., NumPy, SciPy, Pandas) - Attention to detail and ability to debug code effectively - Strong problem-solving skills and the ability to troubleshoot Please provide examples of previous work, particularly any projects that involve statistical or ...

The model has been developed and the dataset is ready. You only need your help to complete the training of the model. There are 6 datasets, and the $100 deposit is only needed. You only need to complete the training of one dataset to achieve the required inference accuracy, which has been tested and verified. We can officially accept this project and then discuss the prices for all the projects.

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im looking for a freelancer who can do pytorch,unet segmentation, onnx inference , tensorrt, tracking algorithms and make changes or modify the architecture of unet and modify the tracking algorithms architectures

I am looking for a proficient backend developer, well-versed in Python and Hugging Face. The primary task for this project is to deploy a stable diffusion model, and seamlessly integrate it into our web app. Key Responsibilities: - Deploying a Stable Diffusion model and create a Hugging Face Inference Endpoints. - Integrating the successfully deployed model into our web app Preferred Expertise - Significant experience in backend development - Proficiency in Python, Hugging Face - Strong understanding and concrete experience with HuggingFace and stable diffusion models - Previous experience in model deployment and integration into web applications

I'm looking to develop an interactive and engaging chatbot that serves as a statistics tutor for students. The ideal freelancer will have prior experience in educational chatbot development and a solid understanding of statistical concepts. Key features: - The chatbot needs to cover key topics including Basic Probability Concepts, Statistical Inference, and Regression Analysis. - The interactivity level should encompass Basic Q&A to assist students with questions, Interactive Simulations for a more hands-on learning experience, and Personalized Recommendations to guide learners on what to study next. Skills needed: - Experience in AI/Chatbot Development - Knowledge in Statistics - Strong understanding of AI-education interface. The perfect candidate is someone who can c...

...specializes in statistical modeling and inference using regression models. I have a project focused on a thorough meta-analysis of R programming and the programmer must perform sensitivity analysis and meta-regression analysis Key Aspects: 1. Data manipulation and analysis: You should be able to manipulate and analyze data well. You should understand how to prepare data for analysis and interpret results. 2. Statistical modeling and inference: This project heavily revolves around statistical modeling and inference. You should be skilled in regression models specifically meta-regression analysis and sensitivity analysis. To be successful in this job, you should have proven experience with R programming concentrating on statistical modeling and inference. ...

Straightforward fine-tuning of the base model and the training code at The datasets are at: Libraries that can used for inference: - - Whisper-plus Should Support: - Real time audio transcribing. - Use VAD to reduce hallucinations - Should have speaker diarisation(pyannote) You will have access to AzureVM with A100 GPU.

please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...

I'm working on a project handling fine-tuned model and need a professional with expertise in Huggingface and QLora fine-tuning to help run and deploy the model on Huggingface. Your tasks will majorly involve: -Consulting me what files are required to run the model via Huggigfance Inference Endpoints A strong understanding of model selection, data preprocessing, and hyperparameter tuning is essential. Prior experience in developing conversational chat systems will be a strong advantage. The ideal candidate should be well acquainted with generating real-time results and integrating these systems for seamless communication.

Work on quantizing the SecBERT model to an 8-bit model. perform inference on the quantized model. Measure performance improvement and size reduction

...import preprocess_documents 4. Build with Automatic scaling a customized model training for python code ML model provided by me or you can use your modle code if I like it 5. Build with Automatic scaling a customized inference 6. Automatic scaling, load balancing to handle 1234 requests/sec, requests done by python from any computer on web 7. many SageMaker AWS instances Distributed training with Hyperparameters search in parallel calculations 8. many SageMaker AWS instances Distributed Preprocessing in parallel calculations 9. many SageMaker AWS instances Distributed Inference with autoscaling in parallel calculations 10. requests implemented by you developed python code for predictions may be done from any computer on web up to 1234 requests per second , everybody w...

I'm in need of a talented and creative graphic designer to produce icon styled images for my website. I require a total of 23 icon style images. The topics for the icons are as follows: Data Integrity & Completeness Model Performance Feature Performance Anomaly Detection Model Inference Bias and Drift Tracing Benchmarking and Baselining LLM Assessment FExplainability Security and Privacy Compliance Monitoring Audit Control Assessment Risk Assessment Innovative Excellence Transparency First Ethical Governance Collaborative Synergy Sustainability and Social Responsibility innovation first curiosity user centric mindset humility I have also attached a word file for some references

I am seeking a statistics tutor proficient at the intermediate level, specifically in Statistical Inference. Key tasks will involve creating video tutorials that break down complex concepts into accessible and engaging lessons. The perfect candidate will have extensive experience in statistics, and demonstrated ability to clearly articulate complex information via video tutorials. Experience in teaching or tutoring at a university level is a plus. Your primary focus will be on creating: - Detailed and engaging video tutorials - Lessons specifically focusing on Statistical Inference Skills and qualifications desired: - Expert in Statistics, specifically Statistical Inference - Previous experience in teaching or tutoring - Skillful in creating engaging, informative...

...want person who will make any changes if i need i need in middle of project and i need obhect detection and tracking using yolov8 and other i need best inference spped and accuracy. As I peel back the layers of this technology, my primary goal is to boost the inference speed without compromising on the accuracy or resource efficiency of the process. **Key Requirements:** - Develop and refine object detection algorithms using YOLO v8. - Implement and evaluate performance using different tracking algorithms. - Aim to improve the inference speed of the detection process. **Comparative Analysis Focus:** - Accuracy of detection. - Speed of inference. - CPU/GPU resource consumption. **Skills and Experience Needed:** - Proficiency in Python programming. - Extensi...

I'm looking to develop an interactive and engaging chatbot that serves as a statistics tutor for students. The ideal freelancer will have prior experience in educational chatbot development and a solid understanding of statistical concepts. Key features: - The chatbot needs to cover key topics including Basic Probability Concepts, Statistical Inference, and Regression Analysis. - The interactivity level should encompass Basic Q&A to assist students with questions, Interactive Simulations for a more hands-on learning experience, and Personalized Recommendations to guide learners on what to study next. Skills needed: - Experience in AI/Chatbot Development - Knowledge in Statistics - Strong understanding of AI-education interface. The perfect candidate is someone who can c...

...skills for this project would include: - A strong background in MATLAB programming - Experience in data visualization, more specifically numeric and time-series data - Proficiency in dealing with databases and parsing CSVs - Understanding of mathematical modeling concepts - Requires a data input and a function to run an existing code completed in Matlab -The Matlab program implements Bayesian inference and makes predictions based on observed data Your role would be to design this application from the ground up, building robust features and ensuring optimal performance. I’d expect you to have a proven track record in similar projects and a strong understanding of data visualization techniques and mathematical modeling processes. Your ability to deliver a user-friendly inte...

I am looking for a skilled Python developer who can help me to create automated TensorFlow training and inference with image and video. Also allow user to define actions based on the detection. **Essential Skills and Experience:** - Proficiency in Python with a focus on scripting to automate tasks. - Experience with web APIs and integrating Python scripts with these APIs. - Familiarity with third-party applications and the ability to integrate these systems seamlessly. - Strong problem-solving skills and the ability to work independently.

I've implemented an LLM model using Python and have been utilizing AWS Sagemaker for real-time inference. However, due to cost reasons, I've decided to switch to a on premise server setup where I can still host and run the model. I need someone with: - Proven experience in creating server endpoints, especially on on premise servers. - Strong proficiency in Python, the language the existing LLM model was coded in. - Understanding of how to shift from AWS Sagemaker to a on premise server setup. Your main task will be to create an alternative endpoint on the shared server to host the LLM model. This new setup should still facilitate real-time inference, and aim to mimic the performance quality of AWS Sagemaker as closely as possible. Efficiency and cost-effectiveness...

I need to create a FIS (Fussy Inference System) that helps me out to evaluate which is the best business location based on the score of all (n possible) criteria of the (n locations).

please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...

please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...

please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...

please note the purpose of the task is ml-engineering focus AND NOT accuracy/ds focus for example spped up train effiencecy / speed inference cluster train using distributed training/gpu for example/k8s run the following evaluations using hugging face API. ➢ 3 Models: Falcon 7B, Llama 2 7B, Phi-2 ➢ 6 Tasks: HellaSwag, MMLU, wikitext, Lambada, ARC Challenge, TruthfulQA ➢ Compute Cluster: 4x Nvidia Tesla V100 Your goal is to reach the fastest speed and minimal cost for running all these evaluations on a given compute cluster. You can employ any method that you can think of to accelerate this process (using only a single instance of the provided computing). The final job you create should include producing all evaluations on all tasks and all models provided. Please provide the foll...

...for this ML project (not limited to scikit or deep learning) 4. Build with Automatic scaling a customized model training for python code ML model provided by me or you can use your code if I like it 5. Build with Automatic scaling a customized inference 6. Automatic scaling, load balancing to handle 1234 requests/sec, requests done by python from any computer on web 7. many EC2 AWS instances Distributed training with Hyperparameters search 8. possibly many EC2 AWS instances Distributed Preprocessing 9. many EC2 AWS instances Distributed Inference with autoscaling 10. requests implemented by you developed python for predictions may be done from any computer on web up to 1234 requests per second , everybody with credentials in web can create requests (not ssh or any remo...

...for this ML project (not limited to scikit or deep learning) 3. Build with Automatic scaling a customized model training for python code ML model provided by me or you can use your code if I like it 4. Build with Automatic scaling a customized inference 5. Automatic scaling, load balancing to handle 1234 requests/sec, requests done by python from any computer on web 6. many EC2 AWS instances Distributed training with Hyperparameters search 7. possibly many EC2 AWS instances Distributed Preprocessing 8. many EC2 AWS instances Distributed Inference with autoscaling 9. requests implemented by you developed python for predictions may be done from any computer on web up to 1234 requests per second , everybody with credentials in web can create requests (not ssh or any remot...

I need a Ray developer proficient with Google Cloud Platform (GCP), specifically VertexAI, to train and deploy machine learning models. They will also be required to construct an inference pipeline. Key tasks include: - Training machine learning models using Flaml - Deploying these models on Ray cluster on top of VertexAI - Building an efficient inference pipeline Python programming skills are essential for this project as this is the chosen language for all tasks. If you have applicable experience and skills in these areas, we look forward to receiving your bid.

I am currently looking for an experienced developer with proficiency in machine l...ge model from Huggingface to ONNX Runtime format. I need someone to convert this image-to-text model on into an ONNX model run in Qt / C++: Salesforce/blip-image-captioning-large The job is done when a very simple Qt console app is able to read an image into a QImage and output the same text to the console that is displayed when running the model in the hugging demo (Inference API). You should also provide a documentation on steps taken and eventually scripts implemented for the conversion. Ideal Skills for Job: - Proficiency in machine learning models - Experience with Huggingface and ONNX - Familiarity with Salesforce/blip-image-captioning-large model - Qt/C++ programming knowledge.

1. Fully configured and tested AWS infrastructure 2. Inference code for two pre-trained CNN models, integrated with AWS 3: Web App with a simple UI for uploading images and displaying results.

Seeking a meticulous data analyst with proficiency in R/Rstudio . Your task is to use the data provided to you to answer a series of research questions, using appropriate statistical inference techniques (ie. Hypothesis tests and confidence intervals). All statistical analysis is to be completed using R/Rstudio. The timeline to complete the task is within 1 week. Key Deliverables: - Analyze provided dataset to address specific research questions. - Create a detailed report encapsulating the derived insights. Ideal Skills: - Expertise in data analytics with R/Rstudio. - Strong background in statistical analysis and data interpretation. - Experience in preparing comprehensive analytic reports. - Ability to translate complex data into understandable conclusions. Looking for some...

I require the expertise of a seasoned professional in the fields of algebra and probability and statistics. The primary objective of this project is to apply statistical inference techniques towards improving our business processes. Ideal skills and experience: I some help in normalization, weighting and grouping. I have some factors to work based on and I need to generate the needed formulas to weight them from 0-100%. Please let me know if you can help.

I have been fine-tuning an AI model in Huggingface interference endpoints and I'm confronted with errors while running the inference endpoint on a Linux VPS. I perceive the errors could be from the Librosa files I'm trying to load. If you consider yourself a pro in these, feel free to reach out. Ideal freelancer should possess: - Excellent troubleshooting skills particularly with running endpoints on Linux VPS - Advanced knowledge in Librosa, a Python library for audio and music processing - Proficiency in Huggingface interference endpoints - Knowledge on server response errors. The main task will be troubleshooting the inference endpoint errors, specifically the server response errors, and ensuring smooth running of the program. I look forward to...

I'm ...will induce automation to complex decision making processes by rating the performance of each supplier. Specifically, your key responsibilities will include: - Incorporating decision features such as pattern recognition, risk assessment, and resource allocation into the inference system. - Developing measures to robustly evaluate supplier performance based on on-time delivery, quality of their products/services and their cost-effectiveness. Ideal candidates should possess strong knowledge and experience in fuzzy inference systems and decision automation. Only those with demonstrable experience in supplier performance evaluation will be considered. Understanding of supplier performcae metrics is a plus. Looking forward to your bids. Let's communicate more a...

I am looking for a skilled professional to set up my RunPod vLLM inference engine. The project requires a standard setup, and I would like it to be completed immediately. I am a software developer myself but Ive been running into some issues when setting up my private LLM server. Think of this project as a tutoring session as well :). I would like to host my LLM using RunPod and I feel vLLM would be the best method of serving while making it compatible with other services I plan to use such as Autogen, MemGPT, etc. This assignment could certainly lead to a long term position. Ideal Skills and Experience: - Proficiency in setting up RunPod vLLM inference engine - Experience with LLMs - Strong knowledge of Linux operating system - Ability to work within tight timelines

I am looking for a Statistician who has at least Master degree in statistics with advanced level in R, to write codes for equation related to Bayesian Inference, Gibbs Sampler. The Max payment is 60 $.

I am looking for a Python machine learning expert to assist me ...custom dataloader --- You change the script so that it can 100% use the GPU's parallelism via the tinygrad ml library --- Batchsize and auto savepoints of the model after steps X --Script 2: --- variable to chose which model to load --- load the model and do the inference and output the result to the console with a normal print statement. Ideal Skills and Experience: - Proficiency in Python and machine learning algorithms - Experience with the Tinygrad library - Knowledge of custom dataloader and inference techniques - Ability to work with specific datasets and deliver accurate predictions - Strong problem-solving and analytical skills If you have the necessary skills and experience, please submit your...

We are looking for a machine learning researcher with expertise in training the Llama 2 Large Language Model (LLM) using custom Hugging Face datasets. The specialist should have a deep understanding and experience in using PyTorch to speed up inference on Llama 2. Focus of the project: - The project is open-ended, allowing for creativity and innovation in the development of algorithms and internal Python tools to efficently get datasets into Llama 2 and models. Skills and experience required: - Expert level proficiency in machine learning, with a strong emphasis on LLM's. - Proficiency in Python webscraping, SQlite database design, and API design to collect industry specific data - Proficiency in PyTorch, as the specialist will be utilizing this framework extensively. - Strong ...

For this project, I am looking for someone to conduct a membership inference attack on a single ML model based on the CIFAR-100 dataset. This project will require to perform the attack using the three types of methods: black box, white box, and transfer attack. The results of the attack should be documented and presented in a way that is understandable to a university level audience as this is the university level project. It is important that the individual who carries out this project is familiar with the CIFAR-100 dataset, ML models, and methods for performing membership inference attacks. Having previous experience working with any variation of these topics is desirable but not required. The goal of this project is to evaluate the attack and identify potential weaknesses...

...problems in the baseline model. Discuss specifically related to the model (i.e., not a generic explanation of endogeneity). o How can you use other available variables in the dataset to improve your model? Discuss their relevance. o If you were able to collect panel data (meaning, multiple periods of data) for these apps, discuss how it could mitigate the endogeneity problems and enhance causal inference of results The deadline for this project is more than 2 weeks, providing ample time for the freelancer to complete the tasks....

...on-device keyword extraction from text data, leveraging lightweight NLP methods. This might involve the use of pre-trained embeddings that can be fine-tuned locally. Explore the use of databases and storage methods that are efficient and have a small disk footprint for maintaining user profiles locally. Resource Management: Task List: Profile the computational resources required for training and inference to understand the model's performance on different hardware. Implement dynamic model scaling techniques where the complexity of on-device models adjusts based on the available computational resources. Research and integrate methods for efficient memory management, ensuring the system uses the least amount of RAM possible. User Profile Creation: Task List: Develop an algor...

...on-device keyword extraction from text data, leveraging lightweight NLP methods. This might involve the use of pre-trained embeddings that can be fine-tuned locally. Explore the use of databases and storage methods that are efficient and have a small disk footprint for maintaining user profiles locally. Resource Management: Task List: Profile the computational resources required for training and inference to understand the model's performance on different hardware. Implement dynamic model scaling techniques where the complexity of on-device models adjusts based on the available computational resources. Research and integrate methods for efficient memory management, ensuring the system uses the least amount of RAM possible. User Profile Creation: Task List: Develop an algor...

...class labels to aid your training and sampling without penalty. You are permitted to train on a subset of the CIFAR-100 dataset, but you will not score as highly in diversity by doing so. Your model should generate samples based on a noise vector z, drawn from a prior distribution, rather than being conditioned on x. In other words, the samples should not be derived from a function of x during inference....

I am looking for a skilled developer to create a prototype for deploying a Computer Vision model in the cloud. The prototype needs to be completed within the next 2 hours. Programming Language: Python Cloud Platform: Google Cloud Computer Vision Model: Object Detection Skills and Experience Needed: - Strong proficiency in Python programming language - Experience with deploying applications on Google Cloud platform - Familiarity with Computer Vision and Object Detection models - Ability to work efficiently and deliver within tight deadlines

I am looking for a developer who can create a prototype to deploy a Computer Vision model for performing inference in the cloud. I need this to be completed within the next 2 hours. Programming Language: - The prototype should be developed in Python. The model that has been developed must be hosted in the cloud to facilitate inference operations from any geographical location where the system is installed. This deployment process can be carried out either through programmatic means or by utilizing a user interface. Cloud Platform: - The model should be deployed on AWS. Computer Vision Model: - The client has a specific Computer Vision model in mind. Ideal skills and experience for the job: - Proficiency in Python programming language. - Experience with deploying models o...

...on-device keyword extraction from text data, leveraging lightweight NLP methods. This might involve the use of pre-trained embeddings that can be fine-tuned locally. Explore the use of databases and storage methods that are efficient and have a small disk footprint for maintaining user profiles locally. Resource Management: Task List: Profile the computational resources required for training and inference to understand the model's performance on different hardware. Implement dynamic model scaling techniques where the complexity of on-device models adjusts based on the available computational resources. Research and integrate methods for efficient memory management, ensuring the system uses the least amount of RAM possible. User Profile Creation: Task List: Develop an algor...

Data Analysis Project with R: Predictive Modeling Main Objective: The main objective of this project is to perfo...Modeling Main Objective: The main objective of this project is to perform predictive modeling using R for a specific dataset. Dataset: Dataset will be provided. Variables: The dataset contains both categorical and numerical variables. Skills and Experience Needed: - Strong proficiency in R programming language - Experience in data analysis and predictive modeling - Knowledge of statistical inference techniques - Familiarity with handling both categorical and numerical variables in R - Ability to work with large datasets - Strong problem-solving and analytical skills Note: The client may require assistance with data collection if they do not have a specific datase...