Healthcare Risk Prediction & Stratification App
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Summary
Developed a machine learning application for healthcare risk prediction, focusing on data preprocessing, feature engineering, and delivering actionable insights for patient stratification.
About
Results-driven Data Analyst with an M.Tech in Entrepreneurship & Management, skilled in Python, SQL, and BI tools for complex data modeling, visualization, and predictive analytics. Leverages a strong foundation in strategic analysis and market research to extract actionable insights from healthcare and business datasets. Proven ability to develop machine learning models and data-backed strategies that drive significant improvements in operational efficiency, market reach, and diagnostic accuracy.
Work
Aivana Startup
|Data Analyst & Business Development Associate (Intern)
Hyderabad, Telangana, India
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Summary
Spearheaded data analysis and business development initiatives, leveraging diagnostic data from over 5,000 virtual patient interactions to inform strategic educational revisions and improve healthcare outcomes.
Highlights
Conducted in-depth analysis of diagnostic data from over 5,000 virtual patient interactions, utilizing Python and SQL to evaluate MBBS students' clinical reasoning and accuracy.
Developed and presented actionable insights to educators, facilitating the revision of 15+ case modules and contributing to a 12% improvement in average diagnostic accuracy.
Collaborated cross-functionally to integrate data analysis findings into curriculum development, enhancing learning outcomes and diagnostic proficiency.
Education
Indian Institute of Technology (IIT Hyderabad)
Hyderabad, Telangana, India
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M.Tech
Entrepreneurship & Management
Courses
Business Development
Marketing Analytics
Strategic Management
Finance
Organizational Behavior
Awards
1st Place - Tongali International Startup Pitch Competition
Awarded By
Tongali International Startup Pitch Competition
Awarded 1st place for developing a scalable, data-driven model for international market entry. Collaborated cross-functionally with Japanese peers to present a high-impact business model and expansion strategy, demonstrating strong analytical and presentation skills.
Skills
Data Analysis & Business Intelligence
Data-Driven Decision Making, Strategic Analysis, Market Evaluation, Process Optimization, Analytical Frameworks (SWOT, VRIO), Data Modeling, Predictive Analytics, Diagnostic Trends, Dashboard Building, Data Visualization, Talent Market Research, Workforce Planning, KPI Design, Market Segmentation, Business Research.
Programming & Libraries
Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Plotly.
Tools & Platforms
Power BI, Tableau, Advanced Excel.
Project Management & Collaboration
Cross-Functional Collaboration, Strategic Planning, Stakeholder Management, Business Model Development, Market Entry Strategy.
Projects
Analysis of Startup Xpressbees - Talent & Strategy Management
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Summary
Conducted comprehensive talent market research and strategic analysis for a startup, focusing on national workforce expansion, revenue growth, and HR performance optimization.
Amul's Product Marketing Plan - Talent Research & Market Analyst
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Summary
Developed a strategic product marketing plan for Amul, focusing on workforce segmentation, market reach optimization, and data-backed talent acquisition strategies.