About
Data Scientist and Software Developer with hands-on experience building end-to-end machine learning decision systems and deploying interactive analytics applications. Skilled in translating predictive models into practical business insights using tools such as Streamlit, XGBoost, and statistical evaluation techniques.
Work
Hyderabad, Telangana, India
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Summary
Contributed as a software developer intern focusing on AI & cloud solutions at Ibexlabs' Hyderabad office.
Highlights
Built and deployed machine learning decision systems—including churn prediction and credit risk systems—using Streamlit for interactive business decision-making.
Developed end-to-end A/B testing decision platform, validating experiment integrity and ensuring practical and statistical significance thresholds were met.
Engineered business logic to translate model outputs into actionable decisions, bridging gap between predictive modeling and operational deployment.
Skills
Machine Learning & Data Science
XGBoost, Logistic Regression, Feature Engineering, Model Evaluation (ROC-AUC, PR-AUC, KS).
Statistical Analysis & Experimentation
A/B Testing, Two-Proportion Z-Test, Minimum Detectable Effect, Confidence Intervals.
Application Deployment
Streamlit, Web App Deployment, Decision System Interfaces.
Programming & Tools
Python, Java, Data Cleaning, Feature Engineering, Backend Development.