Nithin ChandraThe path so far.

1. JAN 2025to PRESENTChicago, ILCURRENT

   MathCo

   DATA & AI CONSULTING

   Engagement Manager

   Engineering GTM & Solutioning

   Sep 2025 to Present

   • Lead and orchestrate engineering GTM pursuits; align domain SMEs, specialist architects, delivery teams and customer success leads around each customer opportunity.
   • GTM team results: $3.91M closed business in 2026 YTD and approximately $7.2M current active pipeline, as of October 2026.
   • Personally advance leads through discovery, capability showcases, demos, custom solution builds and technical architecture presentations. Build hands-on prototypes on Snowflake, Databricks and GCP; support Snowflake partner co-sell.
   • Launched a Context & Semantic Layer offering and built reusable accelerators across native semantics, knowledge graphs and agent interfaces.

   Senior Consultant

   Client Delivery

   Jan to Sep 2025

   • Led discovery, PRD and architecture for a tire recommendation application; built a bounded prototype with real data. The team supported production deployment to 600+ stores.
   • Primary technical consultant for a global product master across NA, EMEA and APAC, with hands-on Snowflake and Azure work.

   More delivery highlights +

   • Product harmonization reduced duplicate reporting by approximately 40% and identified $25M+ in annual savings opportunities.
   • Led a 10-person onsite/offshore team across data engineering, data science and BI.
   • Built a tailored Databricks demo for a beauty account that subsequently reached $3.2M+ in cumulative services billing. This cumulative account result is separate from the GTM team’s 2026 YTD closed-business figure.

   SnowflakeAzureDatabricksPre-salesSemantic layers

   Explore the architectures ↗Context & semantics ↗
2. SEP 2023to JAN 2025Framingham, MA

   Staples

   RETAIL / SUPPLY CHAIN

   Data Scientist

   Full-time · Sep 2023 to Jan 2025

   Earlier co-op · Jun 2022 to Jan 2023

   • Built transportation and inventory data pipelines that enabled a 22% freight cost reduction.
   • Developed carton-packing optimization that reduced shipping voids by 64%.
   • Built SARIMAX and XGBoost forecasts for inventory integration and benchmarked statistical and neural models, including N-BEATS and N-HiTS, for fulfillment demand and capacity.
   • Worked on GenAI solutions with Snowflake and Azure, alongside internal shipment tracking and executive reporting.

   SQLPythonSnowflakeForecastingNeural networksOptimization
3. DEC 2021to SEP 2023Boston, MA

   Northeastern University ITS

   WHILE COMPLETING MY MS

   Program Lead, Customer Experience

   • Analyzed 100K+ ServiceNow tickets and improved response times by 18%.
   • Managed and mentored 80+ student technicians through structured review and feedback.
   • Redesigned the recruiting process and improved tickets resolved per technician by 40%.

   Service analyticsTeam leadershipMentoring
4. JUN 2018to AUG 2021Bangalore, India

   Mu Sigma

   RETAIL ANALYTICS

   Decision Scientist

   • Led a six-person offshore analytics team serving US retail stakeholders, with delivery QA and executive-ready reporting.
   • Owned proposals, sales discussions and customer demos to explore expansion with existing and adjacent stakeholders.
   • Designed test-and-learn measurement for 400+ store pilots and deployed ML/data engineering pipelines using GCP and Jenkins.
   • Benchmarked and deployed traditional ML and neural-network models, building an applied AI foundation from 2018.

   GCPJenkinsExperimentationCustomer demos

University work and the Staples co-op overlapped during graduate study. The dates above reflect each role’s own period.

1. 2023Boston, MA

   Northeastern University

   GRADUATE STUDY

   MS, Data Analytics Engineering

   GPA 3.84 / 4.0

   Graduate Certificate in Engineering Management