Sunil Kamkar

MS in Business Analytics

July 2022 - May 2023

Relevant Coursework

• Advanced Optimisation
• Advanced Machine Learning
• Marketing Analytics

PG Diploma in Data Science

July 2018 - July 2019

Relevant Coursework

• Advanced Big data
• Data Visualization
• Natural Language Processing

BS in Computer Science, Mathematics, Statistics

June 2015 - May 2018

Relevant Coursework

• Applied Statistics
• Linear Algebra
• Probability Distributions

2Blocks Analytics

January 2023 - May 2023

Machine Learning Engineer

• Built 91% accurate classification models using GPT-3 to streamline business document processing
• Fine-tuned Transformers and LLMs namely S-BERT, MPNET, and GPT-3 to embed unstructured text into vector representations, enabling semantic document comparisons and classification
• Collaborated with start-up founders to develop text analytics product and deploy it on AWS EC2 instances

Tech: Python, SQL, GPT-3, AWS, Transformer Neural Nets, Natural Language Processing, Anvil, Model Pipeline and Deployment

Genpact

June 2021 - June 2022

Data Scientist

• Led 4+ real-world evidence (RWE) projects independently and completed 11 projects in 12 months as founding data science team member, enabling team expansion from 3 to 6 members. Mentored colleagues to elevate best practices in coding.
• Created the customer profiles to evaluate the impact of events to perform common statistical analysis, propensity score matching and survival analysis (Cox-PH model and Kaplan Maier Estimation)s.
• Designed and devised a dynamic R shiny dashboard; providing real-time insights and enabling the client's analytics team to make informed decisions quickly and effectively resulting in saving hours of efforts everyday.
• Created robust data models using AWS, handling 10 data sources, and efficiently managing over 100M rows of data.
• Optimized market sizing estimation through implementation of spline regression, improving predictive accuracy by 8% and strengthening risk projections.

Tech: Python, R, R Shiny, SQL, Excel, Power BI

Eversana

Feb 2021 - June 2021

Associate Data Analyst

• Developed an Alteryx workflow to analyze customer transitions between physicians and compute the average time gap for switching products, providing insights into physician performance and patient behavior
• Automated and optimised SQL codes for GPO inventory tracking
• Performed promotional analysis for product to evaluate market access, performance, and market share using python

Tech: Python, PostgreSQL, Alteryx, AWS

Iqvia

April 2019 - Feb 2021

Data Analyst

• Led a team of 3+ members and developed quantitative models to design solutions that help analyze penetration and sales impact across targeted & mass media channels: Emails, Direct Mails, Mobile Alerts, Banners, Newsletters, Paid Search etc.
• Delivered significant ROI growth through successful implementation of Marketing Mix Modeling (MMM) techniques for optimizing marketing campaigns utilizing regression techniques, log transformations, ad stock and lag effects.
• Drove 10% sales lift by optimizing and measuring omnichannel campaigns through experimental studies (test & control) and tracking KPIs for personnel and non- personnel campaigns for 6+ brands across its life cycle .
• Designed analytics solution with Python, SQL and Tableau (Dashboard) that automated engagement analysis, campaign effectiveness and ROI insights, reducing time from inception-to-delivery delay by 75%.
• Developed machine learning models (Random Forest, XgBoost) identifying key drivers of product adoption with 73% accuracy, enabling clients to optimize marketing strategy and boost product adoption.
• Architected scalable customer segmentation framework integrating K-means clustering and rule-based bucketing; optimized framework slashed analysis time by 50%.

Tech: Python, SQL, Tableau, Excel