MOHAN VAMSI PARUCHURI
*******************@*****.*** github.com/parchurimohanvasmsi
PROFESSIONAL SUMMARY
Data analyst with proven expertise in predictive modelling, statistical analysis, and data visualization. Skilled in transforming complex datasets into actionable business insights with strengths in healthcare analytics and process optimization. Demonstrated ability to improve data accuracy and enhance reporting systems to support strategic decision- making.
EDUCATION
PACE UNIVERSITY New York, NY
Master of Science in Information Systems (Expected: May 2025) Relevant Coursework: Data Analytics, Healthcare Informatics, Business Intelligence, Database Management
ADHI COLLEGE OF ENGINEERING AND TECHNOLOGY Chennai, India Bachelor of Engineering in Computer Science and Engineering (2019-2023) Graduated with 80% distinction
PROFESSIONAL EXPERIENCE
IBM Data analyst Intern, Healthcare Analytics August 2022 - January 2023
• Spearheaded a collaborative healthcare analytics project to develop a heart disease prediction model, demonstrating ability to analyze program effectiveness and identify areas for improvement.
• Employed iterative sprints and user feedback to refine the model, similar to the process of evaluating and adjusting government programs based on stakeholder input.
• Facilitated early identification of at-risk patients, akin to identifying and addressing critical needs within a target population through government programs.
• Implemented data quality protocols that improved reporting accuracy by 30%, ensuring reliable data for informed decision-making, a crucial aspect of PROJECTS
Web Scraping of IMDB Analytics August 2022 - January 2023
• Implemented data quality checks and a web scraping tool for IMDB data, reducing data errors by 40% and increasing user satisfaction with data accuracy by 95%.
• Streamlined data collection by 100% by building a Python web scraping tool. Credit Card Fraud Transaction 2022 - 2023
• Redeveloped internal tracking system, adding 20+ new features and reducing save/load time by 20% and operation time by 15% for 125 employees.
• Developed a fraud detection model that reduced fraudulent transactions by 20% and saved the company $1 million.
• Increased fraud detection accuracy by 46% within 3 months by analyzing a strategic roadmap for system deployment across different card types.
• Designed a machine learning model that achieved a 74% reduction in fraudulent transactions (a 79% improvement).
Heart Disease Prediction Using IBM Analytics 2022-2023
• Collaborated with clinicians to identify key risk factors like cholesterol, enabling targeted hypertension interventions.
• Optimized model predictions to prioritize these interventions, resulting in a 29% reduction in hospitalizations.
• Boosted engagement by 79% for seamless access to risk predictions & intervention reports by writing user stories and contributing to portal redesign.
• Deployed & scaled a secure model in a HIPAA-compliant environment. PUBLICATIONS
VIRTUAL HAND GESTURES FOR PPT CONTROL
K Banupriya, Pokanti Vinod Kumar, Mohan Vamsi P, Arikapudi Pavan, Bestha Sumanth Vyas
Link: VIRTUAL HAND GESTURE CONTROL FOR PPT - IJSREM TECHNICAL SKILLS
• Data Analysis & Visualization: Excel (Advanced: VLOOKUP, Pivot Tables, Power Query, Macros), Tableau, Power BI, Matplotlib, Seaborn
• Programming & Databases: Python (Pandas, NumPy), SQL, Access
• Machine Learning: Linear Regression, Decision Trees, Naive Bayes, Random Forest
• Healthcare/Benefits Analytics: Claims Data Analysis, Benefits Administration Systems, HIPAA Compliance
• Process Automation: Python Scripting, Excel Automation, Reporting Workflows
• Project Management: Agile Methodologies, Requirements Gathering, Documentation
PROFESSIONAL DEVELOPMENT
• Healthcare Analytics Certificate - Online Course (2023)
• Advanced Excel for Data Analysis - Pace University Workshop (2023)
• SQL for Data Analysis - DataCamp (2022)
• Benefits Administration Fundamentals - Self-study course (2024) SOFT SKILLS
• Business Acumen with focus on healthcare and benefits administration
• Cross-functional team collaboration
• Data storytelling and executive communication
• Problem-solving and analytical thinking
• Client relationship management