Available to hire
I am a Senior Data Scientist with 10+ years building production-grade AI/ML systems across data ingestion, modeling, evaluation, APIs, and MLOps.
I specialize in LLMs, RAG pipelines, vector databases, and agentic workflows, and I architect scalable generative AI platforms on AWS, GCP, and Azure, delivering end-to-end LLM-powered services in production.
Work Experience
Sr. Data Scientist at IOPEX / T-Mobile
August 1, 2023 - PresentLed development of an automated talent-evaluation platform using supervised learning to predict high-potential candidates; managed offshore team through end-to-end delivery. Designed ML/AI solutions for sales and marketing to optimize customer acquisition, churn reduction, and product upgrade propensity scoring. Built and demonstrated an analytics data-hub prototype to accelerate data productization. Trained and deployed ML models, forecasting systems, and recommendation engines from experimentation to production. Implemented hybrid retrieval pipelines (semantic + keyword), engineered feature pipelines, and integrated robust guardrails for AI safety.
Data Scientist at Truist Bank, Charlotte, NC
January 1, 2022 - July 1, 2023Designed scalable ML solutions using advanced machine learning, statistical modeling, and data mining techniques to solve complex business problems. Developed end-to-end predictive models (linear/logistic regression, Random Forest, XGBoost, KNN, PCA, Naive Bayes); implemented data imputation, time-series forecasting (ARIMA/SARIMAX/Prophet/TFT), anomaly detection, forecast hierarchy reconciliation (MinT), NLP pipelines (tokenization, embeddings, topic modeling), OCR extraction, A/B testing, and causal inference studies. Built data pipelines with PySpark/Delta Lake/Hadoop; deployed inference on cloud platforms; established MLflow governance and dashboards.
Data Scientist at Charter Communications
May 1, 2020 - December 1, 2021Designed scalable ML solutions across analytics platforms with end-to-end ML workflows, data engineering, and governance; built pricing, forecasting, and inventory optimization models; implemented ETL/ELT pipelines and data quality checks; developed NLP and OCR pipelines for unstructured data; integrated forecasting and pricing outputs with ERP systems for replenishment.
Data Scientist/Data Analyst at Zeitview
January 1, 2017 - October 1, 2019Gathered and analyzed data from distributed sources; designed data models, data pipelines, and dashboards; implemented clustering and segmentation using K-Means, GMM, and HDBSCAN; built topic modeling and TF-IDF pipelines for text data; automated ETL with Airflow; containerized scoring services and deployed on Kubernetes; built API services for real-time insights.
Data Analyst at HighRadius
June 1, 2014 - December 1, 2016Defined data models, built SQL-based data blending and ETL processes for Tableau/BI analytics; implemented data quality checks; developed supervised learning models for business classification; explored NLP/text mining for fraud detection; deployed ML pipelines using AWS and CI/CD; built dashboards and reports for decision-makers.
Education
Qualifications
Industry Experience
Software & Internet, Financial Services, Professional Services, Telecommunications, Media & Entertainment
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