Lokesh Miriyala

About Lokesh Miriyala

AI/ML Engineer with 3+ years of experience building production-grade machine learning and…

Experience

1. Data Analyst

   TD

   Oct 2024 — Present · US

   Worked on Customer Segmentation for Personalized Banking Offers. Implemented customer segmentation using unsupervised ML models (e.g, KMeans, DBSCAN) on behavioral and demographic data, enhancing offer personalization and increasing targeted campaign response rates by 25% through agile cross-functional collaboration.• Developed optimized ETL workflows via AWS Glue and executed high-performance SQL on Athena to process 90% of parquet-based datasets, reducing query latency by 40% and supporting real-time ML feature pipelines.• Applied Python (Pandas, NumPy, Statsmodels) to preprocess 80% of transaction data, engineered model-ready features, and performed multivariate statistical testing to support ML-driven segmentation and prediction initiatives.• Executed advanced cohort and RFM analysis on customer lifetime value using regression and clustering models, identifying high-value segments that contributed to an 18% uplift in customer retention through tailored product strategies.• Used AWS Glue DataBrew and Lambda to automate 95% of data validation, anomaly detection, and schema consistency checks, ensuring 99% model input accuracy and reducing ML model failure rates.• Built interactive Power BI dashboards with custom DAX measures and predictive visual analytics, delivering campaign performance insights and improving strategic decisions by 30% across customer targeting and retention teams