Broken down the complex mathematical calculations involved in Marketing Finance – SOP Data Creation and developed strong programmatic model using numpy and pyomo.Developed a Strong Data Model which uses multiple user inputs as files and calculate the relevant P&L Lines automatically using IBM Watson Studio.Developed a Fully Functional data-driven application using Flask, Pandas, Apex Charts and JavaScript.Used Snowflake as a for transactional database for the application, to store all transactional data.Optimized the developed Data models (Mathematical) using IBM CPLEX.Developed an Automated CI and CD Pipeline using Docker and IBM Cloud Container RegistrySupported the team to deploy the developed application in IBM Cloud Code Engine.Developed an ETL Pipeline by using WhereScape and Snowflake which will pull the data from Snowflake Data Science Layer and push it on the EDP (Enterprise data platform) – Snowflake Presentation Layer.Developed and automated Material Master List (MARM) Management (Handling latest SKUs and CF Codes) using Linear Programming.Built a complex controller part which includes data filtering, live data editing and personalized data permissions (User level data restrictions) and region-level data restrictions.

Worked as a Python Engineer and Participated in all phases including Requirement Analysis, Design, Testing, and Documentation and to understand about data extractions using Web Crawling & Scrapping.Implemented an automated report using Streamlit which has Metrics and KPIs in the granular level.Used the data emitted from Sentiment Analysis Model which has Customer Satisfaction on various drug releases.