Hyma Roshini Gompa
Data Scientist @Enigma Technologies, Inc.
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WORK HISTORY
Data Scientist @Enigma Technologies, Inc.
US
Own a flagship end-to-end predictive analytics initiative for proactive customer retention, analyzing large-scale behavioural and transactional data using SQL, Apache Spark, and Snowflake to identify churn risk and optimize engagement strategies.• Design and maintain scalable, production-grade data pipelines using Python, SQL, and Spark, performing data validation, feature engineering, and data quality checks to support reliable model training and scoring.• Design and implement advanced ML pipelines using Logistic Regression, Random Forest, and XGBoost, incorporating feature engineering, hyperparameter tuning, and resampling techniques to improve model performance metrics like precision & ROC-AUC.• Deploy automated model scoring and monitoring workflows, leveraging Docker and Kubernetes-aligned environments to enable near real-time churn risk visibility and faster, data-driven intervention for product and marketing teams.• Apply Large Language Models (LLMs) by implementing Retrieval-Augmented Generation (RAG) pipelines using LangChain to enhance insight retrieval from internal documents, model outputs, and customer data.• Collaborate cross-functionally and deliver executive-ready insights, translating ML and LLM outputs into customer segmentation, personalized engagement strategies, and KPI-driven dashboards using Power BI and Tableau.
EDUCATION
Sri Chaitanya College of Education
Intermediate
University of Maryland Baltimore County
Master's of Professional Studies, Data Science
Lovely Professional University
Bachelor's degree, Computer Science
Sri Chaitanya Techno School, Bangalore
10th Grade
ABOUT HYMA ROSHINI GOMPA
Passionate Data Scientist and Data Engineer with 4+ years of experience building robust, scalable, and data-driven solutions that power key business decisions. I specialize in predictive modeling, customer analytics, and data engineering, with proven success driving measurable improvements such as reducing reporting cycle times by 35%, improving data quality by 30%, and optimizing customer churn models.My work spans the full analytics lifecycle from data ingestion and transformation to machine learning model development, deployment, and visualization. I have hands-on experience with modern data stacks and cloud technologies including Python, SQL, Spark, Snowflake, Power BI, Docker, and advanced large-language models for analytics and summarization.I especially enjoy integrating Generative AI and Retrieval-Augmented Generation (RAG) to build intelligent systems that streamline workflows and enhance user experiences. I strive to deliver actionable insights and scalable solutions that empower cross-functional teams and drive strategic business impact.I’m actively exploring opportunities in Data Science, Machine Learning Engineering, and AI-driven analytics, where I can continue applying analytical rigor and innovation to solve real business problems.
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