Available to hire
I am a data scientist with 9+ years of experience delivering end-to-end machine learning, data engineering, and statistical modeling solutions to solve complex business problems. I specialize in turning messy data into actionable insights and building scalable analytics that drive ROI.
I have hands-on experience with Python, R, SQL, Hadoop, Spark, and cloud platforms, plus NLP, deep learning, and visualization. I thrive in cross-functional teams, communicate clearly with leadership, and enjoy turning research into practical, production-ready solutions.
Skills
Language
English
Fluent
Work Experience
Senior Data Scientist at Johnson & Johnson
July 1, 2024 - November 4, 2025Senior Data Scientist responsible for analyzing and optimizing predictive models, improving accuracy, and identifying key drivers of business outcomes. Led full ML lifecycle from data acquisition to feature engineering, model development, validation, and visualization. Built and deployed regression, classification, clustering, SVM, and ensemble models on datasets up to 14M+ records with noise reduction of 90%. Developed AI solutions (GANs, VAEs, diffusion models, reinforcement learning) for synthetic data, pricing, and operational decisions. Implemented real-time pipelines with Spark Structured Streaming and Kafka, and automated retraining with Bayesian hyperparameter optimization. Applied graph analytics and NLP-based text analytics for fraud detection and enterprise knowledge management. Designed Power BI dashboards to track KPIs and ROI, delivering substantial annual ROI. Led cross-functional collaboration with leadership to define model scope and strategy for phase-2 development.
Senior Data Scientist at Ascena Retail Group
June 1, 2024 - June 1, 2024Senior Data Scientist focusing on computer vision and ML for image/video analytics, object detection, recognition, tracking, and classification. Applied ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost) and classical ML (logistic regression, SVM) with transfer learning to accelerate development. Built end-to-end ML pipelines with visualization to communicate insights; automated large-scale ETL processes; conducted survival analysis and multivariate regression to support decision-making. Collaborated with software engineers and product managers to deploy CV/ML into production on Azure. Developed predictive analytics with PySpark and Spark SQL on Databricks at scale.
Data Scientist at Early Warning's
March 1, 2022 - March 1, 2022Partnered with business leaders to design data-driven initiatives to optimize KPIs (revenue, circulation, engagement). Created interactive Power BI/Tableau dashboards; analyzed Microsoft application usage (Word, Excel, SharePoint, Teams) to identify adoption patterns. Built churn prediction models using Teradata, Oracle, SQL, and UNIX; engineered personalization engines; implemented data quality checks and anomaly detection. Applied causal inference (PSM, uplift, DiD) to quantify intervention impact; developed experimentation (multi-arm bandits, RL) frameworks to optimize marketing spend. Modeled workforce optimization; devised edge-device distillation; mentored teams to raise data literacy and ethical AI.
Data Scientist at Truist Financial
September 1, 2020 - September 1, 2020Addressed highly imbalanced fraud datasets using resampling and cost-sensitive methods; built fraud prevention pipelines combining rules with ML models. Developed MapReduce and Spark modules for predictive analytics on AWS. Built time-series forecasting models; collaborated with MLOps to implement continuous training, monitoring, and rollback. Applied SHAP/LIME for explainability; built predictive maintenance using IoT data; designed credit risk and loan default scoring; implemented churn, LTV, segmentation; conducted text mining on feedback; built ML-powered demand forecasting and OTT recommendations; used Bayesian methods for uncertainty quantification; partnered with C-suite on AI strategy and KPIs.
Data Analyst at CA Technologies, India
March 1, 2018 - March 1, 2018Data Analyst responsible for data modeling and governance: designing Star and Snowflake schemas; developing SQL/PL/SQL procedures; data profiling, cleansing; integrating data from Teradata, Hadoop, Hive, Oozie, and AWS into analytical datasets. Built an automatic NLP-based text classifier; conducted web ad analytics using Bayesian nonparametric regression and HMM; preprocessed data with Pandas/Scikit-Learn; conducted EDA with Matplotlib/Seaborn; implemented DB optimizations (partitioning, indexes, CDC, views); designed and tested SSIS ETL workflows; automated recurring data tasks with stored procedures; delivered reports in Tableau; worked across Windows/Linux environments.
Senior Data Scientist at Ascena Retail Group
April 1, 2022 - June 1, 2024Researched and implemented computer vision algorithms for image/video processing; built end-to-end ML pipelines; automated ETL for large-scale data ingestion; performed advanced statistical analyses; integrated ML into production applications; developed predictive analytics using PySpark on Databricks; deployed on Azure cloud; communicated insights with stakeholders.
Data Scientist at Early Warning's
October 1, 2020 - March 1, 2022Partnered with business leaders to design data-driven initiatives to optimize KPIs; developed dashboards in Power BI and Tableau; built churn prediction models; engineered AI-powered personalization; used causal inference methods to measure impact; designed experimentation frameworks and workforce optimization models; mentored teams and advanced ML adoption across the organization.
Data Scientist at Truist Financial
July 1, 2018 - September 1, 2020Addressed imbalanced fraud datasets with resampling and cost-sensitive methods; built fraud prevention pipelines; developed time-series and forecasting models; collaborated on MLOps for production ML lifecycle; leveraged distributed frameworks for scalable training; built explainability dashboards for regulatory transparency; developed predictive maintenance and loan risk models; explored text mining and recommendation systems.
Data Analyst at CA Technologies, India
September 1, 2016 - March 1, 2018Designed data models (Star/Snowflake) and implemented SQL/PL/SQL procedures to extract and manipulate data; integrated data from Teradata, Hadoop, Hive, Oozie, and AWS into analytical datasets; built automatic text classifier; performed Bayesian nonparametric regression and hidden Markov models for analytics; automated ETL and reporting; developed dashboards using BI tools.
Education
Bachelor of Technology (B.Tech) in computer science Engineering at Guru Nanak Institute of technology Hyderabad
January 11, 2030 - January 1, 2016Bachelor of Technology (B.Tech) in Computer Science Engineering at Guru Nanak Institute of Technology, Hyderabad
January 11, 2030 - January 1, 2016Qualifications
Industry Experience
Healthcare, Financial Services, Retail, Software & Internet, Professional Services, Other, Media & Entertainment
Skills
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