Available to hire
I am a data science enthusiast pursuing an MS in Engineering Data Science at the University of Houston, with a strong foundation in ML, NLP, and data engineering. I enjoy building AI-powered solutions that help clinicians and businesses turn complex data into actionable insights.
In my industry experience at Tata Consultancy Services and as a graduate assistant, I designed and deployed predictive models, ETL pipelines, and AI agents, collaborating cross-functionally to drive measurable outcomes. I am passionate about healthcare analytics, semantic search, and scalable AI systems.
Skills
Work Experience
Data Scientist at Tata Consultancy Services
December 31, 2023 - July 19, 2025Led end-to-end AI/ML development projects involving supervised, unsupervised, and deep learning models, focusing on Generative AI, LLMs, and AI agents. Built NLP pipelines using HuggingFace Transformers, BERT, and RAG architectures for chatbot systems, sentiment analysis, and contextual responses. Designed and deployed self-learning AI agents and multi-agent workflows in cloud environments. Used prompt engineering, transfer learning, and fine-tuning to improve large language model performance. Worked with TensorFlow, PyTorch to develop CNNs, RNNs, LSTMs, GANs for image and text applications. Ensured AI safety, performance monitoring, and explainability. Utilized Unix/Linux for data preprocessing and automation. Participated in full project lifecycle in agile settings and contributed to open source and internal R&D on cognitive architectures and autonomous workflows.
AI Engineer at Macvarai
May 1, 2025 - PresentCollaborated with senior ML engineers to design and deploy BharathHealthAI, an AI-powered healthcare assistant integrating LLaMA, Retrieval-Augmented Generation, and multi-agent orchestration, improving patient query resolution speed by 45%. Supported semantic search integration using vector databases for medical literature retrieval, enhancing diagnostic accuracy. Built and fine-tuned 12 disease prediction models using Scikit-learn, TensorFlow, and PyTorch CNNs for early screening of diseases including diabetes and various cancers. Developed FastAPI-based AI agent endpoints for multi-step healthcare workflows, contributing to broader platform adoption among healthcare providers.
Data Scientist at Tata Consultancy Services
December 31, 2023 - August 27, 2025Collaborated with analytics teams to analyze over 10 million customer transactions to identify churn trends and support retention campaigns, reducing churn by 8%. Built clustering and supervised models to rank top at-risk customers for targeted marketing. Contributed to an anomaly detection workflow that reduced false positives by 20% and improved fraud detection by 15%. Played a key role in implementing TensorFlow and PyTorch CNN-based object detection models for automated product defect detection, reducing inspection time by 30%. Assisted in setting up CI/CD automated ML pipelines and model version control to ensure consistent production model updates. Developed ETL pipelines to clean and transform data for analytics and maintained KPI dashboards in Power BI, Tableau, and Plotly for strategic business reviews.
Graduate Assistant at University of Houston
September 1, 2024 - PresentContributed to HealthAI, an AI-powered healthcare assistant integrating LLaMA, RAG, and multi-agent orchestration, improving patient query resolution speed by 45% in pilot deployments. Integrated semantic search with vector databases to retrieve medical literature and case studies, enhancing diagnostic support and clinician trust. Built and fine-tuned 12 disease-prediction models (diabetes, heart disease, cervical and throat cancers) using Scikit-learn, TensorFlow, and PyTorch CNNs for early screening from structured health records. Developed FastAPI-based AI agent endpoints to manage multi-step workflows and context-aware reasoning, deployed on GKE for scalable partner adoption.
Data Scientist at Tata Consultancy Services
December 1, 2023 - October 15, 2025Collaborated with analytics team to analyze over 10 million customer transactions using Python, SQL, and Excel to identify churn trends and high-value segments, informing retention campaigns that reduced churn by 8%. Built clustering and supervised models (XGBoost, Logistic Regression, Decision Trees, Random Forest) to identify top at-risk customers and deployed on Google Kubernetes Engine (GKE) for scalable inference. Contributed to anomaly detection using PCA and Ridge Regression, reducing false positives by 20% and increasing fraud detection by 15%. Implemented CNN-based and object-detection models for automated product defect detection, accelerating QC. Developed ETL pipelines with Pandas/SQL orchestrated by Cloud Composer, and built KPI dashboards in Power BI/Tableau/Plotly from BigQuery. Created visual analytics with Seaborn/Matplotlib to inform CRM strategies. Integrated Pub/Sub for real-time alerts between fraud and engagement pipelines.
Education
MS at University of Houston
January 1, 2024 - December 31, 2025B.Tech at Gudlavalleru Engineering College
August 1, 2017 - July 31, 2021MS in Engineering Data Science at University of Houston, TX
January 1, 2024 - December 31, 2025B. Tech in Information Technology at Gudlavalleru Engineering College, India
August 1, 2017 - July 31, 2021Master of Science in Engineering Data Science at University of Houston
January 1, 2024 - December 31, 2025Bachelor of Technology in Information Technology at Gudlavalleru Engineering College
August 1, 2017 - July 1, 2021Qualifications
Industry Experience
Software & Internet, Healthcare, Professional Services, Financial Services, Manufacturing
Skills
Hire a Data Scientist
We have the best data scientist experts on Twine. Hire a data scientist in Houston today.