Jay Narayan Das

Software Engineer - AI ML Engineer

EPAM Systems•  October 2021 - Present•  Bengaluru

1. Build, deploy, and tune machine learning models, and maintain ML pipelines to enable real-time data analytics and support data-driven decisions. 2. Developed a Flask API using prompt engineering to accurately extract financial details—such as security name, coupon rate, and maturity date—from user-provided data, improving on the prior regex-based method. The extracted information is passed to a secondary API that queries a PostgreSQL db for further details. This streamlined process provided users with comprehensive financial insights through the BOAT application. 3. Implemented multiclass classification for ticket management, improving resolution efficiency by categorizing open tickets. 4. Managed dashboards and reports for Google Play Store apps, supporting enforcement actions and app performance monitoring. 5. Optimized legacy SQL code for Google Dremel/F1 in BigQuery to enhance query performance.

Senior Analyst - Data Scientist

DailyRounds / Marrow•  November 2019 - October 2021•  Bengaluru

1. Collaborated closely with leadership, including the CEO, as well as cross-functional teams (Tech, Product, and Sales) to drive product marketing, sales enablement, and outbound marketing automation. 2. Built a scalable ETL pipeline using Airflow and AWS Lambda, integrating weekly API data retrieval, cleansing, and storage in S3. Transformed data with AWS Glue Spark and loaded into Snowflake via Snowpipe, supporting advanced reporting and ML analysis. 3. Developed machine learning models to evaluate customer buying propensity, categorizing leads with a propensity above 25% as quality leads for CRM integration. 4. Produced and delivered regular reports for customer service and sales teams, featuring ticket inflow forecasts and key performance metrics. 5. Built and maintained a suite of dashboards and reports for Sales, Customer Service, Finance, and Product teams, including the "Sales Kundali" dashboard for tracking sales metrics and suggesting dynamic pricing adjustments. 6. Developed time series models (ARIMA, SARIMA, Prophet) for forecasting stock levels and sales, enhancing inventory planning, and supporting strategic sales decisions.

Product Analyst

American Express Global Business Travel•  June 2018 - November 2019

1. Managed client data migration from various Online Booking Tools (OBTs) to a new OBT, ensuring a smooth transition and minimal disruption. 2. Tested and validated data conversions to guarantee accuracy and successful project completion. 3. Configured Global Distribution System (GDS) profile data into GBT’s database and tools, enhancing system integration. 4. Use SQL/NOSQL queries in SOLR for enterprise search and analytics 5. Created comprehensive reports and visualizations using Tableau and Excel, providing actionable insights for business decision-making.

Associate

Paytm•  February 2017 - June 2018

Managed customer queries and support related to flight bookings, including confirmations, reissuance, refunds, and PNR updates. Managed ticket stock inventory and ordering processes to maintain optimal stock levels and prevent shortages. Analyzed and consolidated customer booking data, producing detailed reports with Tableau, Power BI, and Excel, which informed strategic decision-making and operational improvements.