Technical Lead - HCL Technologies - Bangalore, India
(2025-07)
- Designed and implemented scalable ETL pipelines using Python and SQL for processing large-scale structured datasets.
- Conducted exploratory data analysis (EDA) and data preprocessing to identify trends, outliers, and quality issues.
- Developed machine learning models (regression, clustering, forecasting) using XGBoost to uncover key drivers.
- Applied advanced feature engineering techniques to improve model performance and business interpretability.
- Built interactive Power BI and Tableau dashboards for real-time KPI monitoring and performance monitoring.
- Delivered data-driven stories and strategic recommendations to stakeholders through effective visualization.
Lead Engineer - Alten India - Chennai, India
(2021-12 - 2024-12)
- Built predictive models using Scikit-learn on high-dimensional datasets to identify critical influencing variables.
- Performed statistical analysis and regression modeling to improve prediction reliability and reduce model variance.
- Automated data processing and analysis workflows using Python, increasing team efficiency by 20%.
- Conducted large-scale data analysis to identify patterns, correlations, and anomalies in complex engineering datasets.
- Leveraged CAE simulation data to enhance predictive modeling and domain-specific analytical insights.
Senior Analyst - Satyam Ventures - Chennai, India
(2019-12 - 2021-12)
- Conducted EDA and statistical analysis on structured datasets to identify performance improvement opportunities.
- Built dashboards and reports to track Key Performance Indicators (KPIs) and support executive business decision-making.
- Developed data-driven recommendations that optimized system performance and cross-functional operational efficiency.
- Collaborated with stakeholders to translate business problems into customized data-centric analytical solutions.
Senior Engineer - Benteler Engineering - Chennai, India
(2015-12 - 2019-11)
- Analyzed structured datasets and developed automated data processing scripts using Python and Excel.
- Created comprehensive performance monitoring reports and dashboards to support engineering decision-making.
- Optimized data processing efficiency through automation and standardization of high-frequency reporting techniques.
- Utilized simulation-based datasets for performance evaluation, structural audit, and domain-focused CAE analysis.
