I'm Lalit Bansal.

Comprehensive training and certification focused on Retrieval-Augmented Generation, vector databases, and deploying LLMs.

Advanced coursework covering statistical techniques, data modeling, and practical machine learning applications.

Completed undergraduate engineering degree with a focus on analytical problem solving.

• Leading critical IoT operations and enterprise automation initiatives for WMM monitoring and broadcaster support systems.
• Developed multiple high-impact automation platforms including the POP Alert Tool, Watermark Scheduler, and Feedloss Validator, reducing manual operational effort by nearly 70–80%.
• Preparing and managing monthly WMM Operations reports and PPT shared directly with CTOs, CEOs, and senior technology leadership teams.
• Managing validation and monitoring workflows for escalation email configurations across approximately 23,000+ production channel records.
• Currently contributing to the implementation of an automated broadcaster escalation mail system to improve operational response and incident communication workflows.
• Engineered automated ETL pipelines to extract outage data from emails, transform structured tabular datasets using Pandas, and validate records against MSSQL databases.
• Built high-performance WMM log analyzers capable of processing 4-second resolution meter logs for watermark detection, downtime analysis, and operational diagnostics.
• Recognized with Two-Time BARC Quarterly Awards (Q1 FY24-25, Q2 FY25-26) for delivering high-impact automation and operational excellence initiatives.

• Supported day-to-day WMM operations, outage validation workflows, and broadcaster monitoring activities across large-scale production systems.
• Automated repetitive operational workflows using Python, Pandas, Playwright, and SQL-based validation pipelines.
• Assisted in building internal monitoring dashboards and operational reporting systems using Streamlit and Excel automation.
• Improved operational efficiency by developing data-processing utilities for log analysis, outage verification, and channel-level diagnostics.
• Collaborated with engineering and operations teams to streamline production workflows and reduce manual intervention across monitoring systems.

• Analyzed 2 million Import-Export Pharmaceutical Trade records, resulting in a 15% improvement in supplier discovery.
• Streamlined complex data processing workflows, successfully reducing total analysis time by 30%.
• Developed and maintained interactive Tableau dashboards for effective stakeholder communication and decision-making.