Apr 2024 – Sep 2025 · 1 yr 5 mos

Feb 2023 – Apr 2024 · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Jan 2022 – Dec 2022 · 11 mos · Remote · Hybrid

• ● Stock Price Prediction: Managed a team of 4 research data scientists to work on understanding the underlying impact of certain themes published in news and company's quarterly reports for companies listed in the US stock market to predict it's impact on their long term stock price.
• ● Employment Analysis: Published a research paper on the effect of the 2020-2021 bull run on employment across industries by analyzing job postings and it's impact future outlook for US market.
• ● Data Size - 500 million news articles, 600 billion market data points & 20 million job postings || Tech - Python, PySpark, AWS, NLP, Transformers, Topic Modeling, Regressions

Oct 2018 – Jan 2022 · 3 yrs 3 mos · Gurgaon, Haryana

• ● Transactional Data Science: Worked on the some of the world's biggest retail transaction-level datasets to develop and implement several ML/DL models to identify and predict optimal Pricing, Promotion, Assortment, Segmentation, Need States e.g Used POS data to identify elasticity and suggested optimal prices and promotions on SKU level. Data Size - ~100 billion item level transactions per year || Tech – Python, PySpark, GCP
• ● Theme Detection and Sentiment Analysis (Retail, NLP) - Created a near real-time dashboard highlighting key trends on themes associated with customers review on one of the world's largest e- commerce platform.

Aug 2015 – Aug 2018 · 3 yrs · Bengaluru Area, India

• ● Master Data Management - Built a machine learning algorithm- based Python tool to integrate multiple data sources and eliminate issues like duplication, inconsistent format, etc.
• ● Route Optimization - Planned optimized routes for 3000+ sales reps using CRM data for the world's largest equipment rental company.

Jun 2014 – Aug 2015 · 1 yr 2 mos · Bengaluru Area, India

• ●Dashboarding - Created several dashboards to track real-time performance of actual metrics against predicted metrics
• ● Digital Marketing - Identified optimal spending for each marketing channel to maximize Return on Ad Spend ROAS

Jul 2010 – Jun 2014 · 3 yrs 11 mos · India · Remote

• Profile - https://www.codementor.io/@chiirag
• Completed 300+ Data Science projects with an average rating of 4.98/5 and using following technologies:
• ● Machine Learning / Deep Learning: Developed and delivered 150+ projects using several ML/DL techniques like Regression, Classification, Clustering, Dimensionality Reduction, Computer Vision, ANN, CNN, RNN
• ● Dashboarding: Created 50+ dashboards using Tableau, Power BI, Dash, Plotly, Matplotlib, Seaborn
• ● Business Understanding: Have helped 10+ organizations and 100+ individuals with their data science projects from formulating their problems to delivering the final solution