Headline

Harnessing the power of data and statistics to solve business problems! | Experience leading Core Machine Learning projects | Topper - full-time MS Analytics program at Purdue’s 2022-23 cohort | AI/ML Educator/instructor

About

Exploring data to deduce relationships between variables, using plots to visualise those relationships, and driving insights through these processes give me immense joy. Singing my heart out and composing melodies accompanied by my guitar are blissful. Mathematics is my first love, and music, my second. But what is the connection between these two significantly diverse fields? Both music and math, are forms of art! Only when one views both these fields as forms of art, could one relish their beauty! Mastering a form of art takes the shape of an asymptote! It continually approaches the curve of perfection, but never meets it. I am consistently working on the art I want to master - Data Science and Statistical Learning. But at the end of the day, it is all about how creative a Data Scientist can be. The tools/softwares available in the market are equivalent to colors and paintbrushes available to a painter, instruments available to a musician and ingredients available to a cook. Different artists exploit their tools in different ways. There is no " one right way ". I have had a taste of analytically solving industry problems across Healthcare, Sports, Media/Entertainment, Engineering, and so on. Which one has been my favorite? All of them. Afterall, all industries impact our lives, and all I ask is to be given a chance to play, even if the smallest, a significant role. I want to make a difference!

Location

Bengaluru

AI stack

claude code

claude

langchain

langgraph

Work experience

Full Stack Data Science / ML Engineer (Position Eliminated 3 weeks after joining) at Travelier, May 2026 - Jun 2026 · 2 mos, Led the ML based dynamic pricing initiatives in my short stay

Senior Data Scientist at Target, Sep 2024 - May 2026 · 1 yr 9 mos, Bengaluru, Karnataka, India, Part of the Promotions Team, solving problems that involve modelling redemption rate, lift, and promo-sales

Senior Data Scientist at Saks OFF 5TH, May 2023 - Sep 2024 · 1 yr 5 mos, Bengaluru, Karnataka, India, Implemented a machine learning and operations research-driven product pricing optimization model, combining XGBoost and Polynomial Regression with PuLP. This tool not only saves the planning team nearly 10 hours a week but also holds the potential for almost $2 million increased profit per markdown cycle. Orchestrated the design and implementation of a machine learning model, utilizing Heterogeneous Graph Neural Networks, to achieve a remarkable 25% revenue prediction accuracy in the luxury e-commerce sector, significantly outperforming the previous 2% accuracy of collaborative filtering, and enhancing overall customer experience and engagement at Saks OFF 5th. Developed a demand forecasting model with explainability for six different categories at Saks OFF 5th, achieving a notable 10% Mean Absolute Percentage Error (MAPE), showcasing a substantial enhancement from the previous MAPE of 17%.

Research Data Scientist (Part time during Master's) at Purdue's Rosen Center for Advanced Computing (RCAC), Jan 2023 - May 2023 · 5 mos, West Lafayette, Indiana, United States

Graduate Tutor at Purdue University, Aug 2022 - May 2023 · 10 mos, West Lafayette, Indiana, United States

Graduate Teaching Assistant at Purdue University, Jun 2022 - May 2023 · 1 yr, Indiana, United States, TA for Python, Tutor for Analytics (inferential statistics)

Education

Master of Science - Business Analytics and Information Management, Data Science, Purdue University

Post Graduate Diploma in Data Science, Data Science, International Institute of Information Technology Bangalore