Lakshman M

I’m a results-driven Senior Data Analyst with 4.5+ years of experience delivering end-to-end data solutions in financial services. I specialize in SQL and Python (Pandas, NumPy), plus PySpark, Apache Airflow, Databricks, and Power BI. My work focuses on automated ETL pipelines, MIS reporting, and interactive dashboards that reduce manual effort by up to 50% and speed up executive decision-making.

At IIFL Samasta Finance Limited, I led analytics and reporting initiatives managing a cross-functional team of analysts. I designed and automated 15+ dashboards and scheduled reports using Apache Airflow and Task Scheduler, cutting manual reporting effort by 40% and improving data delivery turnaround by 30%. I also partnered across operations, credit, and finance teams to translate requirements into custom analytical datasets for strategic planning.

Previously, at Credit Access Grameen Limited, I analyzed large-scale financial datasets (1M+ records) to identify portfolio trends and anomalies for risk and operations teams. I automated 20+ MIS reports and Power BI dashboards for real-time KPI monitoring (disbursement, repayment rate, portfolio quality), reducing manual effort by 50%. I also streamlined ETL for multi-source integration and built structured data marts for 10+ financial datasets, improving data preparation time by 35% while maintaining reliability through validation checks.

My projects reflect how I solve business visibility gaps with rigorous analytics and automation. I engineered an employee performance analytics system for 12,000+ employees and delivered automated workforce productivity reporting with a 60% reduction in manual effort. I also led Portfolio at Risk (PAR) analysis by linking internal and credit bureau data for 1M+ active customers, uncovering higher risk exposure and contributing to a 12% improvement in portfolio quality through dashboard-driven risk committee decisions.