Oct 2024 – Mar 2025 · 5 mos

Apr 2023 – Oct 2024 · 1 yr 6 mos · Florida, United States · Remote

• 【🚀 】 Led a team of 5 data scientists and 4 machine learning engineers to develop reinforcement learning-based models for JetBlue and Air New Zealand.
• 【🛠️ 】 Built and deployed reinforcement learning solutions tailored to airline revenue management.
• 【📈 】 Delivered FLYR RM’s first overbooking feature for Avianca, resulting in a 1.2% revenue uplift.
• 【✈️ 】 Designed and implemented air cargo revenue management systems for Qatar Airways (mid-term decision-making) and Air New Zealand (short-term forecasting).
• 【📖 】 Published a "Mixture of Experts" framework in KDD 2023, advancing research in airline revenue management.

Dec 2021 – Apr 2023 · 1 yr 4 mos

• 【🚀 】 Developed & deployed simulation arena for seat pricing
• 【🔥 】 Led a team of data scientists and researchers to build COVID-robust solutions for airline revenue management.
• 【📖 】 Published cutting-edge research on anomaly detection, distribution shifts during COVID, and revenue management in airlines in reputed journals.
• 【🎯 】 Built product plans and roadmaps to drive the development of data-driven solutions.

Jun 2020 – Dec 2021 · 1 yr 6 mos

• 【🚀 】 Deployed deepPricing solution to multiple international airlines at Europe & Asia. Powering dynamic pricing on multiple ancillaries including bags (multiple categories), seats (multiple zones), meals and wifi
• 【🔥 】 Statistically significant 10% imporvement on RPO (revenue per offer) and CR (conversion rate)
• 【🚀 】 Developed & deployed A/B testing framework for faster live testing
• 【🔥 】 Developed internal machine learning engineering tools and utility packages for data extraction, model comparison, model to API translation, deployment and orchestration.
• 【🔬 】 Partnered with University of Illinois at Urbana-Champaign and Imperial College London to develop research driven solutions for travel related problems
• 【🔬 】 Research findings presented at AAAI, ICML and NuerIPS conference

Aug 2018 – Jun 2020 · 1 yr 10 mos

• 【🚀 】Deployed “worlds first AI driven dynamic pricing solution for ancillary” with the partner international airline
• 【🔥 】Live A/B testing showed 36% improvement in conversion and 10% improvement in revenue per offer as compared to human rule-based approaches (baseline)
• 【🔥 】Developed client specific machine learning orchestration utilities and tools for model deployment, re-training, background analysis and model orchestration
• 【🎉 】Winner of prestigious SIG KDD Start up award
• 【🔬 】Published our findings at top tier ML conferences

Jun 2018 – Aug 2018 · 2 mos

• 【✨ 】Developed first machine learning driven dynamic pricing algorithm for ancillary (add-ons like bags, seats, wifi etc) for an international airline
• 【🔥 】Extracted, cleaned and prepared historical transaction data for machine learning and data analysis
• 【🔥 】Coordinated with in-house analysts, independent researchers and university students to create MVP for ancillary dynamic pricing
• 【🔬 】Published 2 peer reviewed paper to demonstrate our novel findings

Aug 2018 – May 2019 · 9 mos · Urbana-Champaign Area

• 【🔬 】 Research on dynamic contextual pricing based on machine learning algorithms
• 【🔬 】 Masters thesis: Dynamic Pricing for Airline Ancillaries
• 【🎉 】 Best presentation award at AGIFORS Revenue Management Conference (2019)

Jan 2018 – May 2018 · 4 mos · Urbana-Champaign Area

• 【✔️ 】 Worked with professor Aditya Parameswaran on zenvisage, a platform aiming to do interactive data pattern and trend using Maven, PostgreSQL, Java, and Node.js
• 【✔️ 】 Tested backend API for file size checking using Ajax and javascript
• 【✔️ 】 Implemented kernel functions for sampling and time series analysis

Aug 2017 – Nov 2017 · 3 mos · Urbana-Champaign Area

• 【✔️ 】 Profile studies to identify the system issues that could be addressed through efficient system management in Champaign County Jail and Justice System

Aug 2016 – Sep 2016 · 1 mo · Tokyo, Japan

• 【✔️ 】 Among top 20 students worldwide to design innovation workshop for high school students of Miyazaki, Japan
• 【🎉 】 JASSO scholarship provided by Japanese government

May 2016 – Aug 2016 · 3 mos · Shiga, Shiga, Japan

• 【🔬 】 Used Nature inspired optimization techniques to simulate protein structure’s topology to find minimum energy configuration. Algorithms used: Accelerated Particle swarm optimization and Genetic Algorithm

Aug 2014 – Dec 2014 · 4 mos

• 【✔️ 】 Assisted professor with grading exams and assignments

Jul 2014 – Jul 2014 · 0 mo · Indian Institute Of Management - Ahmedabad

• 【✔️ 】 Created educational videos at various topics of maths and sciences for the rural children of India.