I love to write about data analytics & digital experimentation.(https://ashishtomar-60885.medium.com)

• Mapped client level data and payment data using Python• Developed revenue tracker dashboard using Tableau (saved 40 hours/month) - to track the weekly and monthly revenue of the organization - to visualize revenue breakdown by service - to explore service revenue by each client• Currently working to improve payment consistency by introducing a reminder system using client level data, consisting of over 40k transactions

• Developed profitability prediction model at product-level granularity on Amazon; designed dynamic Tableau dashboard for 425 products• Performed K-means clustering for product segmentation; improved sales forecasting by 5% using ARIMA to project $2 million increase in annual revenue• Maximized sales by forming promotional groupings of low-profit SKUs through bundling technique; improved inventory turnover rate by 4%• Presented weekly deck with business story & insights to cross-functional teams (including Global Marketing Head & Analytics Director), using various dashboards• Authored research poster on CPG Trade Promotion Management & Optimization of online sales, which got selected in 2020 INFORMS Business Analytics Conference

e-Commerce Retail | Procurement improvement at Mobility Marketplace• Modeled product’s rank across 7 categories, using log-log regression, to identify drivers that affect the Top-100 Trending ranking for boosting mobility vendors’ sales• Enhanced mobility buyer experience, increased quarterly sales by 7%CRM | A/B Testing to test digital process with modern UI• Formulated KPIs from web activity data of 69k 30mim-sessions, over 1.5 months; performed hypothesis testing (z-test) to test experimental design & digital process• Increased vendor registration by 12% & conversion rate by 15%Statistical Modeling | Process improvement & Troubleshooting• Developed model to predict critical equipment life; mitigated warranty losses by 10%• Diagnosed Brake Failure by building a logistic regression model to find responsible triggers of failure; saved 320 man-hoursData Warehousing | Data extraction across cross-functional teams• Created ingestion pipeline for data extraction to perform Independent Samples t-test; compared braking distance to find device replacement feasibility across 22 trains• Designed ETL pipelines for ingesting operational data silos into centralized system; formulated SQL queries to retrieve data for building Tableau visualizationsLeadership | Team Lead• Trained a 9-member team to troubleshoot real-time software bugs by running simulations on Train Data Laboratory; saved €90000 in annual cost

Completed Research Project titled ‘Applications of Superconducting Cables in Electric Power System’ under the guidance of Dr. Saikat Chakrabarti, Associate Professor.

Former Newsletter Editor at ‘The Eminence’, National Institute of Technology, Bhopal; the team that brings out the official newsletter of the college.

Author of Research Paper titled ‘Feasibility Analysis of replacing 10kV, 50MVA short transmission overhead line with HTS cable in IEEE 14-bus system, on a pilot basis; by simulating the system on PowerWorld Simulator 18’. (IEEE Xplore database (ISBN: 978-1 4673-7918-2)(2016 IEEE Students' Conference on Electrical, Electronics and Computer Science)