• Implementing and working in Agile environments including the Scrum methodology within the cross-functional team and act as a liaison between the business user group and the technical team.• Creating Spark Data Frames and performing quantitative analysis on the Data Frames.• Working with NumPy, Pandas, Matplotlib, Seaborn, TensorFlow, Keras, ggplot, Scikit-Learn libraries for developing various algorithms.• Designing and deploying dashboards with Tableau and providing complex reports, including charts, summaries and graphs to interpret the findings to the team and stakeholders.• Extracting data from different flat files, MS Excel, MS Access and transform the data based on user requirement using Informatica PowerCenter and loaded data into the target, by scheduling the sessions.• Designing and writing and executing various MySQL database queries from Python MySQL connector and MySQL Db package.• Moving the data science eco-system into Git version control to track changes across teams.

• Worked on Waterfall methodology and created a Business Requirements Document and System Requirements Specification Document.• Developed Python programs with manipulate arrays using Python libraries like NumPy, Matplotlib, Keras, NLP and NLTK.• Developed user-interactive Dashboards and BI reports by performing different OLAP operations on Data Warehouse Power BI reporting tool.• Built machine learning Regression, Classification, SVM, Hypothetical testing, Decision Tree, Neural Networks, Random Forest models to predict sales using Python.• Wrangled data, worked on large datasets (acquired data and cleaned the data), analyzed trends by making visualizations using python.• Developed the necessary stored procedures and created complex views using Joins for robust and fast retrieval of data in SQL Server and MySQL.• Designed Microsoft Excel dashboards for higher management reports, and other data visualization reports as per the needs of the user to measure KPI.