Developed and deployed 18+ machine learning models utilizing Random Forest, XGBoost, and Gradient Boosting algorithms on datasets exceeding 12M records, improving predictive accuracy by 24% across classification and forecasting tasks. Engineered and optimized 120+ predictive features through feature extraction, transformation, and selection techniques, increasing model performance by 30% while enhancing training efficiency and reducing computational complexity. Implemented and maintained MLOps pipelines supporting 30+ production-grade machine learning models, incorporating automated validation, deployment, monitoring, and version control processes that reduced deployment cycles by 65%. Conducted 40+ model optimization cycles using hyperparameter tuning, ensemble learning, and cross-validation techniques, improving predictive performance by 20% across machine learning applications. Built and optimized 25+ deep learning frameworks for anomaly detection, pattern recognition, and predictiv

Data Analyst at Text2World Ltd.

September 1, 2023 - May 1, 2025

Developed and automated Power BI dashboards tracking campaign performance, engagement, and revenue metrics, enabling real-time access to insights for 15+ stakeholders across marketing, operations, and leadership teams. Built time-series forecasting models (ARIMA) on SMS delivery datasets covering 1M+ records, generating weekly forecasting outputs used by operations teams for capacity planning, workload distribution, and performance tracking. Standardized KPI definitions and reporting frameworks across 3+ regional teams, ensuring consistency in performance measurement and reducing reporting mismatches across business units and reporting cycles. Performed advanced SQL-based analysis using joins, CTEs, and window functions on large relational datasets, improving query performance and reducing reporting turnaround time by approximately 35% across recurring reporting tasks. Built structured data transformation workflows using Python and SQL, improving data preparation efficiency and ensurin

Junior Data Scientist at Trinity Technolabs India

June 1, 2022 - June 1, 2023

Facilitated in developing and validating 12+ machine learning models utilizing classification and regression algorithms on datasets containing 5M+ records, improving prediction accuracy by 15% across analytical projects. Performed 40+ exploratory data analysis (EDA) studies and statistical evaluations to identify trends, correlations, and data patterns, supporting feature engineering and model development initiatives. Built and maintained 25+ data preprocessing workflows involving data cleansing, transformation, normalization, and outlier detection techniques, improving dataset quality and model readiness by 30%. Developed 10+ forecasting and predictive analytics solutions utilizing time-series analysis and statistical modeling techniques, improving forecast accuracy by 16% for business planning activities. Evaluated 20+ machine learning algorithms through model training, testing, and performance assessment, contributing to improved model selection and analytical effectiveness across m