Open to opportunities

Abhishek Sharma

@abhisheksharma47

Message

I build predictive models and analytics products that improve revenue, pricing, and operational decisions.

India

Message

What I'm looking for

I'm looking to build data science and analytics products that improve pricing, revenue, operations, and business decision-making while leading cross-functional teams.

I've delivered data science and analytics solutions across financial services, banking, insurance, telecom, and hospitality. At Shad Works Technologies, I develop and validate analytical products, including scoring and logistic regression models with a K-S statistic of 51.5.

At Deduplic Financial Services, I used PySpark and Hadoop for large-scale analytics, built Tableau dashboards for HR, legal, and sales teams, and contributed to $8M in ad revenue growth. I also automated Airflow pipelines, reducing report generation time by 30%.

At Paragon Financial Services, I built machine learning-powered pricing and yield-management solutions using Python, TensorFlow, scikit-learn, and AWS Lambda, helping increase revenue by 25%. My work also included competitive-pricing web scraping, segmentation, attribution modeling, sentiment analysis, and hotel performance analytics.

I've built analytics teams from scratch, recruited a team of eight data scientists, and applied data mining and predictive modeling to reduce costs, improve conversion, and strengthen market share.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist – Regression Modelling

Current

Shad Works Technologies

May 2023 - Present (3 years 3 months)

Directed model development, validation, testing, and implementation of analytical products. Developed scoring and regression models, improving predictive performance by 15%.

Python R SQL Logistic Regression Decision Trees Random Forest PCA Bayesian Model Averaging

Data Analytics Associate

Deduplic Financial Services

Jan 2019 - Apr 2023 (4 years 3 months)

Led data-driven strategies to boost user retention and market share using PySpark and Hadoop. Designed Tableau dashboards and automated pipelines, contributing to $8M ad revenue growth.

PySpark Hadoop Tableau Airflow Data Pipelines Dashboard Development

Intern – Data Analytics Division

Reverse Analytics, Inc.

Jan 2017 - Dec 2018 (1 year 11 months)

Built star schema databases and optimized SQL queries. Analyzed A/B test results, improving customer acquisition by 15%.

SQL A B Testing Hypothesis Testing

Data Analytics – Revenue Management & Pricing

Paragon Financial Services

Aug 2016 - Dec 2018 (2 years 4 months)

Conducted research on revenue management and pricing analytics. Implemented machine learning models for dynamic pricing, achieving a 25% revenue increase and leading a team of 4 data scientists.