Led a team of PhD data scientists, data engineers and software engineers to develop Data and ML platform and apps.• Awarded by CEO for the turnaround of a high-visibility project by retraining the team and re-architecting the data-platform.• Introduced software-engineering best-practices, and improved overall team communication (time in meetings: 60% → 8%). • Built CI/CD pipeline, improved test-coverage (~0 → 80%), turnaround time: from code change to testing (days → seconds).• Architected a custom Machine Learning platform to ensure a high-quality, sustainable ML codebase and model observability.• Led major improvements in data quality and reliability from partner teams through advocacy and building custom tooling.

Led Data Science, ML and Data Engineering for the eCommerce/Marketplace team within Unilever North America.• Consistently overdelivered against an already high yearly-growth target [Year 1 @ 87%, Year 2 @ 199%, Year 3 @ 577%].• Delivered ~7x growth for recommender-systems and 46% growth for Search engines, tested against a leading SaaS product. • Architected, built and deployed new Data + ML platform, several data products and DevOps pipelines into an AWS stack.• Hired a new team of data-scientists and engineers and led the development of data-platform, apps and experimentation.

Hired into the startup leadership team to put the FoodServiceDirect.com acquisition on a high-growth trajectory.

$5B eCommerce company, 4000+ employees, 2nd in flights OTA category, 250M unique visitors. Worked directly w/ C-suite execs.• Designed and built proprietary ML algorithms for increasing pricing accuracy - increased revenue-per-ticket by over 10% and conversion rate by 14%.• Developed a scalable realtime Flight Recommender system serving over 10M users using Python and integrated into a Scala stack.• Created and maintained Python and Spark libraries for rest of Data Science team to use for data processing and analysis.• Determined customer segments with unsupervised-clustering-algorithms to identify and quantify new product opportunities. • Proposed key metrics and built the end-to-end dashboard using Python/SQL to monitor the pulse of all business operations.• Wrote scripts in Python using Apache Spark and ElasticSearch engine for use in creating dashboards visualized in Grafana.• Used NLP tools to generate ‘Voice of the Customer’ dashboards from survey data guiding product and operations strategy.• Managed and mentored junior analysts on multiple projects, set task priorities, acted as scrum master for agile development.

Strategy consulting for banks and global corporations focusing on microfinance to create shared value, and profitable inclusive business strategies. ESP is led by Nancy Barry (former president, Women's World Banking).• Developed complex predictive models to forecast agricultural productivity and its financial impact for several large clients.• Created interactive dashboards and prepared presentations. • Led design and development of quantitative models for financial products with a total market potential of $2Bn, for a large bank, building from the bottom-up with extensive customer level data analysis.• Communicated with external clients and internal teams to deliver functional product requirements like GUI designs.

Investment Bank focused on brokerage and advisory services for mid-sized companies seeking IPO, growth capital for overseas expansion and corporate restructuring.• Due diligence and financial analysis on a $283mm greenfield expansion project for a publicly traded textile company. • Financial modeling, analysis and advisory on an equity financing project for a small-sized privately held printing firm.

Consumer packaged goods (CPG) firm with operations in various regions of South Asia, China, Middle East and Africa.• Led automation of inventory and production management through coordination among IT, Accounting, Supply-chain teams.• Built interactive models and dashboards for senior management to monitor demand, inventory levels, and manage production.• Conducted ad-hoc financial analysis for capital projects and modeled operational changes for advisory to senior directors.

• Generated and presented pricing recommendations to management through cost models and demand curve analysis.• Built sales forecasting models.