Abhishek Ranjan

About Abhishek Ranjan

As a B.Tech graduate (2024) from IIT Kharagpur and a Data Analyst at Tiger Analytics, I help organizations make smarter, data-driven decisions. My work focuses on applying Data Science and AI principles to extract actionable insights from complex data.Apart from being a technology-driven problem solver, I thrive in dynamic environments, drawing on my diverse experiences - thanks to my exposure to various cultures and teams - that have helped shape me into an adaptable and communicative individual. You\'ll very likely find me playing basketball, swimming, running, sketching, painting or just strumming my ukulele when outside of my work hours.I firmly believe in the transformative power of technology, and the belief that we can bring about a greater good with technology at its center gets me going! With a keen interest in this field, I\'m eager to explore opportunities and contribute to the ever-evolving realm of data-driven decision-making.I love blending with technological advancements to solve real-world challenges and drive positive change. If you share my enthusiasm for data, technology, and making a difference, let\'s connect and explore how we can make strides in technology and collaborate to make data work for us. Email:@. I\'m always open to exciting conversations and new opportunities!

Experience

1. Data Analyst

   Tiger Analytics

   Feb 2025 — Present

   Worked on diverse client projects across FMCG, retail, and B2B industries, applying analytical models to real-world business challenges. Supply-Chain optimizationLed efforts to enhance demand forecasting and distribution agility for a global apparel leader. Built a predictive simulation engine to model logistics, inventory planning, and outbound operations. Spearheaded the migration from SageMaker to DataBricks, handled monthly data refreshes, and built tools like a 6-month shipment-receipts-inventory predictor. Received direct client appreciation for timely delivery and consistent value-add in stakeholder discussions. Sales ForecastingCurrently leading modeling efforts to forecast B2B sales deals needed to meet quota targets. Improved upon client’s algebraic models by implementing Lasso, Ridge, ARIMAX, and Prophet. Currently building features to accommodate segments with limited historical data, representing 40% of sales that were being overlooked in earlier filters. Sales Elasticity analysisWorked on identifying sales volume elasticity with respect to IDVs, using models like RGD and Bayesian regression. Contributed to decomposition analysis and feature engineering, executed in Python on DataBricks.

Education

• Indian Institute of Technology, Kharagpur

  Bachelor of Technology - BTech, Mechanical Engineering

  2020 — 2024