• Designed multiple databases and common data models to aggregate, transform, analyze, and validate large-scale datasets (>10 million records) using SQL, and Python to optimize the payment processes for high-growth clients.• Automated ingestion and migration process of large datasets using Looker, Azure, and Snowflake; reduced load time by 35%• Designed and built ad-hoc dashboards for sales, revenue, and finance teams in tableau and looker dashboards aiding in improved forecasting and actionable business insights such as opportunity win rate, volume, and velocity, thereby reducing decision-making time by 50%• Worked directly with the Financial Operations Directors and Technical Accountants to recommend process enhancement to reduce delays; improved overall efficiency by 40%

• Working on the "Second Chances Project" which seeks to implement Data Science to reduce mass incarceration by reducing the unfair barriers that people with a criminal history face in trying to reintegrate into society.• Data Collection• Data Cleaning• Data Analysis• Data VisualizationPlease Visit: https://paperprisons.org/index.html to know more

• Analyzed contact response rate in campaigns in terms of revenue, ROI and other KPIs by analyzing campaign data for 3 products and 100+customers.• Generated 450 Episodes with 50 states and 45 actions to build a marketing campaign recommendation system by implementingReinforcement Learning algorithm; recommended next steps to increase the propensity of making a sale.• Developed reports and dashboards for the Oracle’s Data Science & Advanced Analytics team (using Tableau, Excel and SQL) that measuredthe effectiveness of inbound marketing campaigns to assist B2B marketing.

• Streamlined robust data connections and automated manual reports for the Pharmaceutical Development and Manufacturing Department; reduced processing time by 60%.• Applied different transformations for data conversion, sorting and cleaning using Power BI Query Editor. Developed calculations and visualizations using DAX functions such as table, aggregation and iteration functions. Produced a comprehensive business analysis and projections for future strategic decisions.• Normalized the data and developed predictive analytics model by implementing Scikit-Learn pipelines to predict the number of days a list will take to reach the threshold and GridSearchCV to tune the hyperparameters; preventing crash during future website migrations.• Optimized distribution, execution and scalability of live reports for 10 departments from 3 different data sources.• Designed and deployed 30 ad hoc Power BI dashboards and built 15 Power BI applications for Dynamic Updates.

• Analyzed and compiled several potential use cases for the business; delivered high performance technology solutions.• Gathered client requirements, prepared multiple data analyses reports and conducted feasibility study for alignment with the Dev team.

• Hands-on experience on a Live Project SCHOOL GURU’S School Management System deployed in more than 40 schools with data of more than 2500 students. • Performed anomaly resolution and cataloging of errors concerning new services such as transcript and certificate generation with testing team; resulted in a better performing product for the end user and helped make error correcting process more efficient.

• Implemented on ground Cisco Packet Transfer which is an innovative and powerful networking simulation tool used for practice, discovery and troubleshooting. • Created network topologies and imitate modern computer networks. • Analyzed software hardware and network systems for various transmission systems.