Manish Bhardwaj

Built scalable ETL workflows on Snowflake and Airflow to process high-volume transactional data, and developed automated reconciliation logic reducing manual review effort by 70%. Designed Sigma dashboards for leadership and implemented a proactive data quality framework cutting reconciliation errors by over 50%.

Implemented a reconciliation system for State Bank of India, boosting accuracy and operational efficiency by over 90%. Collaborated on a debit card reconciliation system achieving 95% matching accuracy across 50M+ daily transactions, and automated reporting pipelines using SQL and Power BI.

Led an 8-person team to develop automated AR workflows, reducing DDO by 14 days and enhancing operational efficiency. Built Python modules and an ML-based Validity Predictor, cutting analyst workload by 90% and saving CPG clients approximately $120k annually.

Partnered with manufacturers to automate parts manufacturing using computer vision and IoT sensors, cutting production errors by 75% and saving approximately INR 65L annually.

Helped brands boost ROI and create effective monetization plans for consumer subscriptions by analyzing web, social media, and user interaction data.

Grade: 8.8/10

Bachelor of Computer Science (Honors) degree from Narula Institute of Technology, Kolkata, India, completed in 2022.