sahil maheshwari

11+ years of experience

• Experienced in leading end-to-end ML projects and solving their unique challenges
• Proven track record of driving revenue growth and operational efficiency
• Skilled in data manipulation & visualization, statistical inference, machine learning, and MLOps with strong theoretical foundations
• Effective communication skills, adept at distilling complex ideas and concepts into easy-to- understand language

Staff Data Scientist

SIXT - Bengaluru, Karnataka October 2020 to Present

Led strategically important DS projects through their complete ML lifecycle. Also responsible for solution research and team mentoring.

Achievements/Tasks
• Delivered a sustainable margin uplift of > 3% using elasticity-based pricing models
• Built a faster and more reliable AB testing framework solving problems in traditional AB testing like peeking, high sample variance, independence of p-values and effect sizes, etc.
• Improved demand forecasting error using Bayesian hierarchical models
• Developed a price-demand relationship model from natural price variations data using GMM to handle price endogeneity Languages
• Implemented ML-driven simulations to optimize long-term inventory planning

Lead Data Scientist

Thoughtworks - Bengaluru, Karnataka September 2018 to October 2020

Led DS teams and collaborated with other cross-functional teams to build and deliver comprehensive solutions, with DS as a key component.

Achievements/Tasks
• Retail: Delivered an average margin increase of €9K per month per store using a SARIMAX-based price- demand model
• Retail: Built a risk control strategy in absence of the test data by defining custom metrics for model's stability
• Consulting: Improved search results' relevance considerably using word2Vec, hierarchical clustering with hashing, and tf-idf

Senior Data Scientist

Happiest Minds - Bengaluru, Karnataka October 2015 to September 2018

Worked on multiple goal-specific projects in varied industries and domains - retail, insurance, education and energy.

Achievements/Tasks
• Retail: Designed and automated product recommendations
• Energy: Implemented time series forecasting on high-frequency data (minute level)
• Insurance: Build risk-based pricing using claim propensity and time-to-claim models
• Insurance: Automated damage identification in electronic devices using transfer learning on Inception model
• Education: Developed a prediction pipeline to handle incremental grades data
• Built R Shiny and Tableau dashboards for multiple clients to give them actionable business insights

Master's degree in business

T. A. Pai Management Institute - Karnataka

2012 to 2014

Bachelor's degree in Electronics & Communications Engineering

Apeejay College of Engineering - Haryana

2005 to 2009