Experience

Carlson Analytics Lab

• United States
• Information Services
• 1 - 100 Employee

• Data Science Student Consultant

  • Aug 2022 - Present

  Leading team as Product Owner to develop a data-driven definition of new hire proficiency using multi-model feature selection, Pearson and Phi-square correlation statistics. Building machine learning models (LightGBM) to predict employee retention factors and boost retention rate. Visualizing KPI dashboard metrics to cross-functional client teams via PowerBI to improve decision-making. Root cause analysis for a leading Educational Testing Company (Python and SQL) Solved the problem of optimizing regional resource allocation by conducting causal inference analysis (propensity score matching), linear regression modeling, and clustering, resulting in a 57% increase in candidate test scores. Resource Optimization for Second Harvest Heartland (Python, R, SQL) Designed a predictive model (Logistic Regression) using donations via media data, identifying key drivers of fundraising outcomes and recommending targeted resource allocation to improve ROI by 52%. • Awarded 1st Place by organization leadership for insights and impact. Daily Sales Forecasting for Walmart: (Python) Built various forecasting models (LightGBM, LSTM) to predict sales for 3K+ items across 10 stores for a 28-day window, achieving a top 5% ranking on kaggle leaderboard. Digital Marketing Assessment for a retailer: (R) Utilized Difference-in-differences in R to measure the effect of sponsored ads on click-through rate. Estimated an incremental ROI of 180% for sponsored ads over organic ads. Customer Segmentation for a leading airline: (Python) Evaluated customer travel patterns and segmented 3.5M+ customers into 4 groups via K-prototype in Python, boosting vacation package promotions and driving airline loyalty program. Show less



ZS

• 1 - 100 Employee

• Decision Analytics Associate Consultant

  • Dec 2020 - May 2022

  Directed a 20-person team to handle marketing analytics (customer journeys, segmentation, branding, adherence metrics, launch metrics, KPI dashboard reporting) for top pharmaceutical industries and project teams. Identified key drivers that led patients to start IV therapies by engineering patient features in anonymized patient level data. Used multi-model driver consolidation and Shapley charts to produce insights.Delivered go-to-market strategy for launch of a biologic drug using customer segmentation and market sizing and predicted highly probable patient profiles using a machine learning model (PU Learning). Created a market projection tool by integrating national audit data (10M records) and claims data (Prescriptions, Payor etc.) for US patients. Results translated by the tool now get published on Wall Street and annual reports.Devised on-boarding model (WFH) for 250-person organization & reduced transition time by 50%; generated $500K revenue during COVID-19. Show less

• Decision Analytics Associate

  • Jul 2018 - Dec 2020

  Created and delivered solutions to Fortune 100 pharmaceutical clients. Synthesized and presented results to clients and ZS teams.Analyzed switch patterns of patients (Rev. $2.9B) for oral drug launch, improving the quality of care in the field of dermatology and resulting in 35% product absorption. Developed decision-tree model to assess the severity of patients in real-time by engineering patient features and integrating medical research findings. Invented methodology to identify disease location of patients by leveraging ICD codes data obtained through patient-claims data and created segments by disease locations Show less

• Summer Intern

  • Mar 2018 - Jul 2018



My Home Constructions

• India
• Construction
• 500 - 600 Employee

• Project Intern

  • May 2017 - Jun 2017

  Worked as an observational intern at My Home Bhooja, Gachibowli under Mr. Sachindar the project manager. Practical application of theoretical Knowledge and learned different types of cement mixes and ratios and successfully completed the practical work of Section 2 of IS 456 which is Materials and Workmanship. Worked as an observational intern at My Home Bhooja, Gachibowli under Mr. Sachindar the project manager. Practical application of theoretical Knowledge and learned different types of cement mixes and ratios and successfully completed the practical work of Section 2 of IS 456 which is Materials and Workmanship.



Larsen & Toubro

• India
• Construction
• 700 & Above Employee

• Project Intern

  • Jun 2015 - Jul 2015

  Worked as an observational Intern at Olympia Opaline Sequel, OMR, Chennai under Mr. V.K.Natarajan the project manager. Worked on different aspects of finishing and quality checks of the project. Submitted the final reports of the finished status of the constructed project. Worked as an observational Intern at Olympia Opaline Sequel, OMR, Chennai under Mr. V.K.Natarajan the project manager. Worked on different aspects of finishing and quality checks of the project. Submitted the final reports of the finished status of the constructed project.