Chirayu Sariya Email & Phone Number

Portland, OR, US

Hillsboro, Oregon, US

• 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.

Hampton, Virginia, US

• 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.

Blackfriars, London, GB

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

New York, NY, US

• $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.

New York, NY, US

New York, New York, US

• 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.

Mumbai, Maharashtra, IN

• 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.

Mumbai, MH, IN

• 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.

Mumbai, MH, IN

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

Master Of Business Administration (M.B.A.), Finance

Master Of Science - Ms, Computational And Applied Mathematics

Master Of Business Administration (M.B.A.), International Business

Engineer'S Degree, Electronics & Communications

Chartered Financial Analyst

High School, Physics, Chemistry, Mathematics