Resume
Education
Work experience
- August 2018 - Current: FLYR, Data Scientist
- Collaborated with Product and Engineering to understand data requirements and designed the schema for a Canonical Data Model that enabled standardization of FLYRs codebase across all clients
- Deployed a Poisson Regression demand estimation model to production that allowed FLYR to bring an additional 70% of the largest customers revenue in scope for management
- Built Data Pipelines on Airflow and Argo utilizing several large data sources, complex SQL queries and Python operators
- Saved numerous hours for the team by automating repetitive reporting and analytics tasks using Tableau Dashboards and Cron Jobs
- Designed A/B testing experiments to prove revenue uplift of FLYRs product vs legacy systems
- Collaborated directly with Airline Clients (>$10 Billion market cap) and Product Management to define KPIs and develop a reporting tool to measure the real-time performance of FLYRs product that is in use by key stakeholders internally and across FLYR’s 3 largest clients
- Reduced cloud spend by $x0000 by evangelizing SQL query best practices and improving database partitioning methods company-wide
- Summer 2017: Dell - Summer Intern, Sales Analytics
- Built statistical model prototypes in R to predict quarterly sales revenue numbers of deals valued larger than $25,000
- Achieved an improvement in error rate of 7% using a timeseries approach
- Effectively collaborated with Dell Data Scientists to understand business requirements and business process
- Jan 2015 - Jun 2015 : Neighbourbase.com - Co-Founder
- Spearheaded development of neighbourbase.com using SCRUM methods from conception of the idea, defining user stories to final product in 3 months
- Gained first hand exposure to product development, team and project management
- This is a post on some of the lessons I learnt through this process
- Summer 2014: Happay V.A Tech Ventures
- Designed gamified consumer engagement framework for an expense management application based on Gamification principles
- Enhanced online marketing and analytics initiatives by implementing a Google AdWords campaign and tracking it using Google Analytics
Skills
- Python (Pandas, ScikitLearn, Numpy, SciPy)
- SQL
- R-Programming
- Tableau
- Excel
- STATA
Relevant Coursework
- Data Visualization
- Applied Econometrics
- Mathematics for Economics
- Multi-Variate Calculus
- Linear Algebra
- Statistics
- Business
- Macroeconomics
- Microeconomics
Independent Coursework
- Machine Learning - Stanford University on Coursera
- Introduction to Data Science with Python Coursera
- Applied Machine Learning with Python Coursera
Research Projects
- Building trust in Machine Learning Systems · Jan 2018 to Current
- Graduate Research - Using an experimental approach to evaluate human trust formation in AI systems
- The impact of introduction of Ridesharing platforms on Traffic Congestion in Urban Centers ·Aug 2017 to Dec 2017
- Masters Thesis - Worked with data from multiple sources and used Econometric Methods to isolate the causal effect of the introduction of Ride Sharing services, specifically, Uber on Traffic Congestion
- The Prevalence of ‘Money Illusion’ among Indian College Students · Jan 2015 to May 2015
- Used a survey methodology to understand the degree to which Indian college students are affected by ‘Money Illusion’
