Rohan Jha Email & Phone Number

San Jose, Ca, Us

Equip BILL's platform with the best-in-class document understanding capabilities leveraging state-of-the-art AI technologies to maximize value to SMBs.

Helped prototype and develop an MVP for an early-stage startup in the Supply Chain sector. Main contributions were in developing an enterprise-grade demand forecasting solution coupled with a RAG application to provide business value to supply chain planning teams.

San Francisco, California, Us

● Managed data science & engineering teams for the Supply Chain AI SaaS product for 5 CPG customers. Forecasted unconstrained demand employing multiple forecasters (statistical methods and gradient boosted machines) and meta-ensembling techniques.● Partnered with product and customer success leadership to establish key performance indicators, resulting in a 15% improvement of trial subscription conversions.● Designed and implemented the end-to-end deployment playbook for the demand forecasting module, streamlining processes, and reducing deployment time by 30%.● Collaborated with cross-functional teams to identify and address critical business challenges, leading to a reduction in forecasting errors by 10-15% through implementation of automated model refreshes and performance evaluation metrics.● Provided mentorship to data scientists on my team, fostering their professional development and facilitating their advancement within the company.

San Francisco, California, Us

● Led a team of data scientists and engineers to develop the Asset Health AI product which drove substantial asset maintenance cost reductions of ~20% at two steel plants. Implemented an advanced anomaly detection algorithm (multi-scale convolutional recurrent encoder-decoder networks) coupled with TICC segmentation.● Spearheaded initiatives to standardise model training workflow (including onboarding the ML pipeline onto Kubeflow) improving developer efficiency by 4x.● Interfaced directly with customers, including executive sponsors and plant managers, to deliver compelling results and articulate technical details with clarity at all levels.

San Francisco, California, Us

● Lead data scientist and product owner of an energy prediction application designed for electric arc furnaces (EAF) at steel plants.● Developed random forest models to accurately forecast energy consumption across multiple sections of steel plants and innovated an optimal trading strategy that achieved up to 10% reduction in energy costs and contributed to a more sustainable carbon footprint (US patent issued).

New York, New York, Us

● Developed a data orchestration pipeline for running end-to-end automated regression tests enabling seamless reconciliation of all client reports and reducing manual testing effort by 3x.● Led a strategic internal initiative to revamp the data archival strategy, overseeing the migration of all transactions and account data to ATMOS cloud storage for enhanced historical reporting capabilities. Achieved a significant cost reduction of more than 25% in dollar expenditures related to storage.

New York, New York, Us

● Designed and implemented a graph-based comparison and impact calculator for the Prime Brokerage reporting framework, successfully preventing user errors in report modifications and significantly reducing support costs by 50%.● Upgraded the reporting platform used by the Prime Brokerage business to use REST architecture and improved the daily SLA of client reports by 1 hour.● Devised a new format of reports using SQLite (file-based database) as a requirement to support the prime brokerage reporting dashboard.

● Co-founded a start-up to create original educational content for robotics workshops for university students.● Successfully held workshops at 2 universities for 200+ students to build autonomous maze-solving robots.

Master’S Degree, Machine Learning And Data Science

Bachelor'S Degree, Electrical And Electronics Engineering

High School