Senior Data Scientist Needed

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@nrajuu07

Hi! I can help build your project end-to-end, from data cleaning and feature engineering to predictive modeling, visualization, and reproducible deployment. I'm experienced with Python, pandas, scikit-learn, TensorFlow, Power BI/Tableau, Git, and Docker, and I'm comfortable working with evolving requirements while communicating assumptions and progress clearly. I'll deliver clean, well-documented code, a reproducible workflow, model artifacts (if needed), and actionable insights to support your business decisions. I’d be happy to discuss the requirements and get started.

@vishal1145

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@Shrutibimpl

Hello, I will serve as your senior data scientist to lead this data-driven initiative from raw ingestion to insight delivery. I will write robust data engineering and feature extraction scripts in Python and R to clean and parse your finalized structured, unstructured, or time series data feeds. Based on your business goals, I will build and validate custom predictive models using pandas, scikit-learn, and TensorFlow, or implement time-series forecasting via Prophet. I will create decision ready dashboards in Tableau or Power BI and write interactive visualizations using Plotly and matplotlib. To guarantee full reproducibility, I will version-control all code in Git and package the complete analysis environment in Docker so you can run the notebooks and pipelines on your end without any manual configuration. I have successfully delivered multiple end to end data science projects, transforming complex raw telemetry and logs into interactive dashboards, predictive models, and strategic executive slide decks. Thanks, Bharat

@UzeeTech

With over 7 years of experience in full-stack development, I have built and deployed successful AI-powered solutions using Python - just the skillset you need for your senior data scientist position. I've worked extensively with libraries such as pandas, scikit-learn, TensorFlow, and PyTorch to build predictive and prescriptive models from diverse data sources much like those you've described—all while ensuring my work is clearly presented and reproducible. I've got your back when it comes to clean code, version control with Git, and containerizing complex environments using Docker. As a bonus, I don't just excel at the technical aspect of things—my clear communication style is consistently praised by my clients. Expect daily updates, realistic timelines, and no surprise ghosting with me. My ability to think beyond code and make informed decisions that save time and money also sets me apart. With my expertise in delivering on time (with a 98% track record), I assure you that your project will be treated with the urgency it deserves without compromising on quality. Let's take the first technical moves forward together in refining your project to the best shape possible. Let's make magic happen by leveraging data effectively!

@devanshkhandekar

Hi,I am a seasoned Applied Data Scientist(6+ yoe)& I can lead the project from raw-data discovery through reproducible analysis,modelling,visualisation,& stakeholder-ready reporting,even while the business requirements are still evolving My approach: -Start with a short discovery phase to define the decision problem,success metrics,data sources,assumptions,& risks -Build a modular ingestion,cleaning,validation,& feature-engineering pipeline for structured,text,image,or time-series data -Perform EDA first,then select predictive/prescriptive models -Validate using appropriate cross-validation,baseline comparison,error analysis,& explainability -Package notebooks,scripts,model artefacts,dashboards,Git versioning,Docker,README Relevant experience: -Built industrial predictive-maintenance analytics from multichannel plant data,transforming raw sensor histories into residual features,EWMA trends,health indicators,anomaly scores,degradation bands,& RUL-style outputs -Developed customer & operational analytics pipelines from inconsistent Excel/CSV sources,including data-quality checks,segmentation,period-over-period trends,planned-vs-actual KPIs,anomaly flags -Created financial & variance-analysis workflows covering trend decomposition,growth/decline patterns,cost-driver analysis,forecasting,& executive charts -Developed Streamlit/Power BI-style dashboards that converted complex model & analysis outputs into clear KPI cards,filters,trends,rankings,& actionable recommendations

@Web1devloper

With a wealth of experience spanning 8+ years in the field of Data Analytics and Science, I possess the skills you are seeking for your ambitious data-driven initiative. My proficiency in a broad range of tools including Python, R, SQL and advanced Excel coupled with my ability to build predictive models using libraries such as pandas, scikit-learn, TensorFlow, and Prophet make me an ideal candidate for your project. Moreover, I am equipped with a comprehensive understanding of data visualization tools such as Power BI and Tableau alongside reporting skills that extend to R, Looker, Google Data Studio and Plotly / Dash. I understand the breadth of your project scope and its ever-evolving nature. My career has seen me working across diverse sectors including finance, healthcare, e-commerce, and SaaS which honed my versatility to adapt, learn quickly and drive value from different data sources- structured tables, logs, images or time series feeds. Having delivered end-to-end solutions in previous projects creating well annotated dashboards using Matplotlib/Plotly or Tableau for decision-making insights is something I deeply resonate with.

@justinegc28

Hi there! This is what I do. I've spent seven years running data projects end to end: cleaning and feature engineering, building and validating models in Python (pandas, scikit-learn, forecasting with Prophet-style methods), then turning results into dashboards and a short deck leadership can act on. Everything ships in Git with a clear documentation, and we can deploy anywhere you want it to be (Docker/Kubernetes). I'm comfortable making the first technical moves while requirements are still forming, and I'll be explicit about assumptions, risks, and trade-offs throughout. To aim the first move well: what's the core decision you want this to improve (forecasting, churn, risk, optimization?), and which data sources are ready now?

@dushyant317

Hi, I have experience leading end-to-end data science initiatives involving data engineering, machine learning, predictive analytics, and visualization workflows, and I can deliver a reproducible, scalable solution with clean code, documented pipelines, dashboards, and actionable business insights.

@Marwan328

Hello, Your project aligns well with my background in machine learning and data analysis. I've built predictive ML models, performed end to end EDA, feature engineering, preprocessing, and model evaluation using Python, pandas, scikit-learn, and TensorFlow. I also publish data analysis and ML tutorials as Kaggle notebooks with clean, reproducible workflows. I recently won a Freelancer.com contest and always prioritize clear communication, documented code, and reproducible results. I'm comfortable working with Git, creating well-structured notebooks, and adapting as requirements evolve. If needed, I can also help automate parts of the data pipeline. I'd be happy to discuss your business goals first so we can choose the most suitable approach before development begins. I'm available 24/7 and can start immediately. Looking forward to working with you!

@richard031596

Starting a data science engagement before the problem statement is locked is actually fine — as long as the first move is structured exploration, not guesswork. The way I'd approach this: before touching a model, I'd run a scoped discovery sprint — ingest whatever sample data you can share now, profile it for completeness and distribution issues, and come back with a written problem framing that maps your business question to a specific model type and success metric. That one step prevents the most common failure mode in open-ended data projects, which is spending three weeks on a model that turns out to answer the wrong question. From there, the pipeline is straightforward: cleaned data in pandas, feature engineering documented in a Jupyter notebook, model selection driven by the data characteristics rather than a predetermined stack, and everything committed to Git with a Docker environment so you can run it cold on your end without setup friction. Visualisations go into Plotly for interactivity or straight matplotlib if the output is slide-bound. Before I scope the first milestone: what domain is the data coming from — sales/finance, operations, user behaviour, something else — and do you have at least a sample dataset available right now, or are we still at the data sourcing stage?

@strdmgrblr

I grasp the scope of your data-driven project, covering data processing, model building, visualization, and reproducibility. My approach involves meticulous data cleaning, feature engineering, and model validation in Python, ensuring clear and actionable insights. With a track record in creating reproducible workflows and intuitive visualizations, I aim to deliver decision-ready outputs aligned with your needs. In past projects, I have successfully developed predictive models and produced insightful dashboards using tools like Tableau and matplotlib. My experience in versioning code with Git and containerizing environments with Docker ensures seamless collaboration and reproducibility. Would you like to discuss further how I can contribute to the success of your data initiative?

@gunjan1711

- I have hands-on experience delivering end-to-end data science solutions, from data cleaning and feature engineering to machine learning, visualization, and executive reporting. - My expertise includes Python, Pandas, NumPy, scikit-learn, SQL, Power BI, Tableau, Git, and reproducible analytical workflows. - I have built forecasting models, predictive analytics solutions, KPI dashboards, and automated reporting pipelines that transform complex datasets into actionable business insights. - I can clean and integrate structured and semi-structured data, perform exploratory analysis, engineer meaningful features, and develop well-validated machine learning models tailored to your business objectives. - In a recent project, I developed a PHP API, integrated database data into Power BI, and created automated real-time dashboards for business performance monitoring. - Deliverables will include modular Python code, documented notebooks, version-controlled Git repository, reusable model artifacts, interactive dashboards, and executive-ready presentation materials. - I focus on writing clean, maintainable code with clear documentation, reproducible pipelines, and scalable solutions that can evolve as project requirements mature. - I communicate assumptions, risks, and progress throughout the engagement to ensure technical decisions remain aligned with business goals. Reference work is available in my profile.

@manishcomp123

I'm excited to help drive your data-driven initiative forward. As a seasoned data scientist with expertise in machine learning, data mining, and visualization, I'm confident in my ability to navigate the complexities of your project. Given the broad scope, I'll start by digging into the data sources you'll be working with, whether they're structured tables, free-text logs, images, or time-series feeds. I'll clean, explore, and engineer features to uncover meaningful insights. When predictive or prescriptive models are warranted, I'll build and validate them in Python or R, leveraging libraries like pandas, scikit-learn, TensorFlow, or Prophet. To ensure decision-ready output, I'll craft clear, concise visualizations or dashboards in Tableau, Power BI, or a similar platform. I'm well-versed in the required skills, including Python, machine learning, data mining, SPSS Statistics, data science, and data visualization. I'm looking forward to collaborating with you to bring clarity and insights to your project. Best regards, Manish S. Can you share more about the business goals and objectives that this data-driven initiative aims to address?

@Ingjuanguzmane

Hello! I can help you with Senior Data Scientist Needed. My budget is 12500.0 USD for 5 days. I will review the requirements, define the implementation steps, and deliver a working result with clear progress updates. Let's discuss the details.

@samr284

Hi, Your project aligns well with my experience in Python, machine learning, and data analytics. I can help build a clean, reproducible pipeline for data ingestion, feature engineering, model development, and interactive dashboards while maintaining well-documented, modular code with Git and Docker. I focus on scalable architecture, clear communication, and delivering actionable insights backed by robust analysis. I'd be happy to discuss your requirements, proposed workflow, and milestones before getting started. Looking forward to collaborating with you. Best regards, Sam

@williamCL47

I can help turn your raw data into a clean, reproducible data science workflow with clear insights, validated analysis, and decision-ready outputs. What I can deliver: - Cleaned and structured datasets ready for analysis - Exploratory data analysis with clear findings and visual summaries - Feature engineering based on the final business objective - Predictive modelling in Python using pandas, scikit-learn, or similar libraries if modelling is required - Clear charts or dashboard-ready outputs using matplotlib / Plotly - Well-annotated notebooks and modular scripts - Git repository with README, setup instructions, and reproducible workflow - Short findings report or slide summary covering insights, limitations, and next steps My strength is building the work in a structured way, so the final output is not just code, but something you can review, run, and use for decision-making. For the first 2–3 days, I can review the sample data, understand the business goal, identify data quality issues, and propose the best technical direction. After that, I can continue with cleaning, analysis, modelling, dashboard/report, and final delivery based on the confirmed scope. - What type of data will be provided? - Do you already have sample data available? - Is there a specific prediction target or business question? - Do you prefer Power BI/Tableau, or is a Python-based dashboard/report acceptable? Wil reply within a few hours, hope we can collaborate for this!

@lingutlal3

Expert Digital Content Creation & Optimization - Driven by AI Efficiency Hi I came across your project and immediately recognized exactly how to deliver high-impact results for your brand. By blending expert creative direction with cutting-edge AI tools (including ChatGPT, Claude, and Canva AI), I deliver premium, production-grade assets in a fraction of the traditional turnaround time. What I Will Bring to Your Project: Tailored High-Yield Content: Strategy-driven copy, optimized channel scripts, or layouts polished to match your precise brand voice. Rapid Turnaround: Harnessing AI tools allows me to generate, iterate, and refine assets quickly without sacrificing quality. Meticulous Human Oversight: While AI accelerates my workflow, every single deliverable undergoes rigorous manual editing, fact-checking, and styling for a flawless final result.

@AcuteTech06

Hello, I have reviewed your requirement for a Senior Data Scientist. I can help you build and optimize data-driven solutions using machine learning, advanced analytics, and AI techniques. I have experience in developing ML models, analyzing complex datasets, and creating scalable data workflows. I can assist with: Data preprocessing, cleaning, and feature engineering Machine learning model development and optimization Predictive analytics and statistical modeling Data analysis and visualization Python-based ML workflows using Pandas, NumPy, Scikit-learn, TensorFlow SQL/data pipeline integration Model evaluation, improvement, and deployment support I focus on delivering accurate, scalable, and business-oriented data solutions with clean documentation and reliable results. I can quickly understand your objectives and provide an effective approach tailored to your project needs. I am ready to start and discuss your requirements in detail. Regards, Acute Tech Solutions