Levi S.

I am eager to leverage machine learning and data analytics to extract meaningful insights, make informed decisions and solve challenging business problems. using below technology Machine Learning, AWS, Python, Deep-learning, web, scrapping, Excel Regression (Linear & Logistic) Classification- Decision Tree/Random Forest/ SVM/ KNN/ Naive Bayes Clustering-(Hierarchical, k-means). python using packages like Numpy, pandas, Sc-kit-Learn,Stats models, Matplotlib, Seaborn, Natural Language processing-Text processing , sentiment Analysis Deep Learning :Neural Network SQL- Performing Queries Tableau- Performing Basic Operation I have the experience of few projects eg: 1. Conversational chatbots(Education Sector) : We have built this application using machine learning and deep learning Eg. 1.Sentiment analysis 2.Document summarization 3.Misspellings check 4. Continuous bag of words (CBoW) 5.BoW 6.Skip-gram and few library used like Pandas,NumPy,JSON,TensorFlow the methods we used for preprocessing is Lemmatization,Removal of stop words,Tokenization i have acquired much experience From this Conversational chat bot project 2. Milestone Tracting Application: I have worked on one of the project where we builded application to tracking milstone Globally for all country's, for this we used machine learning and many service from AWS and post-sql and scala,spark and we used many different kind of library from python use case : using IoT captured all the milestone updates and stored in s3 bucket's and keep tracking milestone and sent end to end updates to client My personal skills Data Analysis (Python/ Tableau/ Excel) Building models using /Machine learning AWS (lambda, s3, Data glue, EC2 etc..) Deployement : Flask and Streamlit Data Visualization/ Data Mining Data Manipulation/ Data Wrangling Python / R / SQL / Tableau TensorFlow / NLP / Deep Learning Statistical Modeling The Challenges I focus on are: - Analyzing Data - Predictive Model Building - Supervised ML Task - Transforming your ML model into a Web App(Flask) The Task I Will Offer -EDA & Visualization - Applying ML Algorithms - Logistic Regression, - Naive Bayes, SVM, KNN, - Decision Trees - XGBoost,etc - Model Building, Serialization - Interpreting ML Models (Eli5, Lime) - Embedding Model in Flask Apps What's the process? • Please send all the required details and data-set, including the questions you want answered concerning the task(Domain Knowledge) • Within a set time, I will send you the model built & the task to appraise • You evaluate the work and determine any changes that you want implemented • I will make the necessary revisions and resubmit them for final approval