Mayur Hampiholi

AI Researcher

Bengaluru, Karnataka, India10 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led a team to optimize insurance pricing models.
  • Developed MLOps platform for multi-armed bandit experiments.
  • Achieved significant revenue growth through dynamic pricing.
Stackforce AI infers this person is a Data Science Manager with expertise in Machine Learning and Healthcare Analytics.

Contact

Skills

Core Skills

Machine LearningData ScienceTeam ManagementForecasting

Other Skills

Contextual Multi-Armed BanditsInsurance RecommendationPricing OptimizationData Quality ChecksTeam LeadershipData LoggingContextual MABAd Revenue OptimizationInsights Generation ToolMLOps PlatformMLOpsMulti-Armed BanditsDemand ForecastingTool DevelopmentDynamic Pricing

About

As a data science manager at MakeMyTrip, I lead a team of data scientists and engineers to build and deploy contextual multi-armed bandits (MAB) models that optimize insurance recommendation and pricing. With over seven years of experience in data science and engineering, I have a strong background in machine learning, especially in forecasting and reinforcement learning. In my previous roles, I have successfully delivered impactful projects that improved ad revenue, CTR, data quality, and customer insights for leading online travel platforms. I have also developed an MLOps platform for creating and evaluating MAB experiments, using Databricks, MLflow, and other tools. I am passionate about solving complex business problems with data-driven solutions and creating value for customers and stakeholders.

Experience

10 yrs
Total Experience
3 yrs 4 mos
Average Tenure
3 yrs 4 mos
Current Experience

Makemytrip

2 roles

Data Science Manager

Promoted

Aug 2023Present · 2 yrs 10 mos · Bengaluru, Karnataka, India · On-site

  • Working on insurance recommendation and pricing via contextual multi armed bandits
Contextual Multi-Armed BanditsInsurance RecommendationPricing OptimizationMachine LearningData Science

Lead Data Scientist

Feb 2023Aug 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

  • Data Quality Checks: Spearheaded and drove a team of software, data and QA engineers to ensure data logging sanity and quality checks across the entire funnel for the hotel and flight verticals. This led to a drastic surge in the productivity of data scientists by reducing TAT during feature selection and engineering.
Data Quality ChecksTeam LeadershipData LoggingData ScienceTeam Management

Goibibo

3 roles

Lead Data Scientist

Promoted

Apr 2021Feb 2023 · 1 yr 10 mos

  • AdTech Ranking: Built a contextual MAB that optimised both ad revenue (via impressions) and CTR by improving the vertical rank of adTech cards. This project was able to improve ad revenue by 6% and CTR by 1% as compared to the control set.
  • Flights Insights: Built an insights generation tool for all customers in the GCC region.
  • ODIN platform for contextual MAB experiments: Built an MLOps platform for creating contextual multi-armed bandits experiments. This supported multiple reward optimisation and off policy evaluation metrics.
Contextual MABAd Revenue OptimizationInsights Generation ToolMLOps PlatformMachine LearningData Science

Data Scientist II

May 2020Apr 2021 · 11 mos

  • Cabs demand forecasting: Built a tool for cab demand forecasting and route insights
Demand ForecastingTool DevelopmentData ScienceForecasting

Data Scientist

Oct 2018May 2020 · 1 yr 7 mos

  • Hotels Dynamic Pricing: Built a dynamic discounting engine for the hotels vertical. It provides discounts for over 50% of all transactions (both domestic and international hotels), while, maintaining a better conversion-rate at a higher net-margin than the rest of the platform. In terms of impact, this project saved over $200k and generated $56M of revenue in one quarter with a conversion-rate of 16% (in domestic hotels alone).
Dynamic PricingDiscounting EngineData ScienceMachine Learning

Practo

Data Scientist

Jun 2016Oct 2018 · 2 yrs 4 mos · Bengaluru, Karnataka, India

  • Built and maintained the predictive engine which forecasted operational, clinical and financial time-series, enabling hospitals to judge the effectiveness of their marketing campaigns, enforce budgetary control and gauge the severity of seasonal viral diseases.
  • Employed hierarchical forecasting upon grouped time series using models like ARIMA, exponential smoothing, XGBOOST, and NN-AR with a consistent prediction accuracy of 82-92%.
  • Worked with unstructured medical documents to categorise and extract information regarding demographics, personal history, social habits, vitals, laboratory results, medications, diagnosis and procedures.
  • Performed automatic medical coding of medical documents, including that of diagnosis to globally recognised ICD-10 codes and procedures to CPT codes, using stacked LSTMs with reasonable accuracy. Thereby, reducing human effort and automating a niche area of healthcare, traditionally, performed by experts.
  • Built a Captain's Scorecard app that was utilised by top-level management on an everyday basis to track the transactions, P/L margin, and growth of each vertical business function in the company. Created using RShiny, this app also featured monthly projections of each vertical.
Predictive EngineHierarchical ForecastingMedical CodingData ScienceForecasting

Usertesting

UX Tester

May 2015May 2016 · 1 yr

  • User testing is an UX research platform that crowdsources UX for its clients. The clients often like to gauge the initial reactions of users from certain demographics for a website or mobile application that they would have created. Active feedback, testing for usability and accessibility were part of the mandate of being a UX tester.

Wesee (weapons and electronic systems engineering establishment) ,ministry of defence

Intern

May 2015Jul 2015 · 2 mos · Greater Delhi Area

  • - Performed several cryptanalytic attacks on PRESENT, an ultra-lightweight block cipher for mobile devices.

Quinnox consultancy services ltd.

Intern

May 2014Jul 2014 · 2 mos · Bengaluru, Karnataka, India

  • - Worked on an in-house project for the HR department to determine the right fit for a new project based on a persons' résumé. We created an application that would enable the employees to upload their résumés which we would sort on a basis of skill, experience, and relevance to the new project. We worked on a Spring and JDBC framework.

Servomax

Intern

May 2013Jul 2013 · 2 mos · Greater Hyderabad Area

  • - Created an interactive web application that would enable us to visualise the results of teams working on a project in Solar Energy. We employed a TomCat server with webpage development in HTML and CSS.

Education

Birla Institute of Technology and Science, Pilani

Master of Technology - MTech — Data Science and Engineering

Jan 2019Jan 2021

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (BE) — Computer Science

Jan 2012Jan 2016

Birla Institute of Technology and Science, Pilani

Master of Science (MSc) — Mathematics

Jan 2011Jan 2016

Kendriya Vidyalaya

Central Board of Secondary Education (CBSE.)

Jan 2007Jan 2011

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