May 2022 – Aug 2022 · 3 mos · Morristown, New Jersey, United States

• Subgroup Identification for Heterogenous Treatment Effect of Malaria Drug **
• We devised a Meta-Learning based approach to quantify and infer subgroup effects on treatment. We identified interesting subgroups which respond heterogeneously to treatment.
• Methods/Skills used: Meta Learning, Xgboost, Neural Network, Rshiny, LASSO

May 2021 – Aug 2021 · 3 mos · Champaign, Illinois, United States

• Forecasting Harvest Readiness using High-Resolution Satellite Data **
• We used satellite Images & ML to develop an automated algorithm to forecast harvest readiness by capturing the naturally occurring temporal curves at a sub-field level
• ML Methods used: Xgboost, Generalised Additive Mixed Modeling

Aug 2019 – May 2025 · 5 yrs 9 mos · Urbana-Champaign Area

• Was responsible for conducting discussion sessions, grading, and managing logistics for several in-person and online graduate-level courses with 300+ students.
• Instructed an undergraduate-level course with 50+ students.
• Ranked Excellent by their Students

Aug 2017 – Jul 2019 · 1 yr 11 mos · Bengaluru, Karnataka, India

• Work Experience ********
• 1. Developed, published, and patented a novel clustering and anomaly detection algorithm – REDCLAN: RElative Density-based CLustering and ANomaly Detection.
• 2. Developed, published, scaled, patented, and helped in productionizing novel algorithms for determining Promotion Adjusted Loyalty of products from the customer point of sale data.
• 3. Developed, published, and patented automated stepwise approach to estimate optimal parameters in SARIMA models.
• 4. Developed a novel statistically efficient technique to estimate lost sales from observed sales and inventory data.
• 5. Developed an automated forecast engine that provides true demand for the user-defined price, promotion, and other input variables in the domain of apparel.
• Awards and Recognition *******
• Was awarded Best Paper at National Conference on Machine Learning and Artificial Intelligence (NCMLAI), 2018
• Was awarded Associate of the Month (July 2018) among 2000+ associates of WalmartLabs (International)

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

• Developed algorithms to find new and hidden patterns and detected anomalies
• based on those patterns in financial data using several automated unsupervised
• learning processes

Jul 2015 – Jun 2017 · 1 yr 11 mos · Greater Kolkata Area

• Was part of the team that organized the placement process overseeing full-time and internship placements for several M.Stat, MSQE, and M.Tech candidates of ISI, Kolkata through the years 2016 and 2017

May 2015 – Jul 2015 · 2 mos · Gurugram, Haryana, India

• A classification problem: an approach to scorecard modeling for customer attrition data under the assumption of heterogeneous population using logistic regression, k nearest neighbour algorithm and combination of both