About me
I am a data enthusiast with a strong foundation in Computer Science Engineering and a Master of Science in Quantitative Management: Business Analytics from Duke University. I have hands-on experience in data analysis, machine learning, and business analytics, having worked in various industries, including healthcare and digital entertainment.
My expertise lies in using tools like Python, R, PowerBI, SQL, and Tableau to turn data into actionable insights. My passion for data-driven decision-making and my ability to collaborate across technical and non-technical teams drive me to create impactful solutions that support business growth.
Skills
Technical Tools:
Programming Languages: Python, R, Java, C, C++Databases: SQL, DBMSData Visualization Tools: PowerBI, Tableau, QlikViewData Processing & Analysis: Advanced Excel, Spark, HadoopModeling & Machine Learning: Predictive Modeling, Statistical AnalysisCloud & Data Infrastructure: Azure, API integration
Web Technologies: HTML, CSS, ReactJs, NodeJsMicrosoft Office Suite
Analytical Skills:
- Data Analysis & Interpretation
- Predictive Modeling
- Machine Learning
- Statistical Analysis
- Risk Management
- Business & Financial Analysis
- Market Research
- ETL Processes
Soft Skills:
- Collaboration
- Communication
- Project Management
- Active Learner
- Adaptability
- Attention to Detail
- Leadership
- Multi-tasking
Education
Jul 2023 - May 2024
Master of Science in Quantitative Management
Business Analytics, Strategy Track
The Fuqua School of Business, Duke University
Data Science Coursework: Data Science for Business, Data Infrastructure, Data Visualization, Decision Analytics & ModelingStrategy Coursework: Strategic Management, Operational Analytics, People Analytics, Empirical Economic Analysis
Jul 2018 - Aug 2022
Bachelor of Technology
Computer Science Engineering
G Narayanamma Institute of Technology and Science
Key Coursework: Probability & Statistics, Data Structures, Object Oriented Programming, Machine Learning, Data Mining, Managerial Economics and Financial Analysis, Software Project Management, Fundamentals of Management
Work Expereince
Jul 2024 - Present
Analytics Intern
Heart South Cardiovascular Group
• Performed EDA on patient demographics and geographic data to enhance marketing strategies, resulting in a 12% increase in patient engagement within targeted regions using Excel and Tableau.• Identified key revenue-generating treatment procedures to predict their patient volume, resulting in 23% increase of efficiency in scheduling and allocation of resources using Python and SQL • Reported financial trends and Time Series Forecasting of revenue to present it to the stakeholders
Sep 2024 - Present
Business Analyst
Trulo
• Conducted market research, including SWOT and Competitor analysis, to identify target user personas, supporting the SMART goals to prepare 1-year business plan & monetization strategy.• Defined Operating Budget over 5 years through FP&A, to assess risks and set financial targets• Contributed to investor funding pitch deck using Microsoft Office Suite, to secure seed funding of 2M
Mar 2024 - Apr 2024
Student Data Scientist
Duke Cancer Institute
• Implemented Logistic Regression Model in Python to predict patient retention based on medical urgency and treatment likelihood with OOS accuracy of 76.3%, for efficient appointment scheduling• Casual Inference Analysis of appointment timing specified waiting causes reduction in the retention • Analyzed patient data using SQL, visualizing key influencers in retention and revenue via Tableau
Oct 2022 - June 2023
Associate Data Engineer, End User Computing
DAZN
• Streamlined laptop pre-provisioning process in an Agile environment, reducing installation time by 40% while integrating API endpoints to enhance data retrieval and system efficiency using Python• Administered user database in Azure using SQL for ad-hoc data analysis of 5K+ users, ensuring data accessibility and improving ETL processes, resulting in a 15% increase in daily profile creations• Addressed 450+ UI enhancement requests from internal stakeholders via ServiceNow by utilizing advanced Excel features such as pivot tables, VBA, and conditional formatting for analysis
Sep 2020 - Sep 2022
Data Scientist
Jamuna Cinemas
• Examined customer data and operational metrics using SQL to optimize movie scheduling, dynamic pricing, and concession sales, increasing overall revenue by 47%.• Described and implemented marketing strategies based on audience segmentation using Python, boosting attendance, and enhancing customer experience.• Created dynamic pricing strategies for peak times, holidays, and special screenings. Interpreted sales of snacks and beverages to optimize product mix and pricing.• Designed dashboards and reports in Tableau to track KPIs like seat occupancy rate and concession sales ratio, inform cost allocation for staffing, inventory, and marketing
Volunteering & Other Accomplishments
Jan 2024 - Feb 2024
Duke Women's Lacross Analytics, Built ETL process and data pipeline for player data with API endpoints to streamline data extraction and integration enabling daily updates and analysis. Utilized SQL queries , and Tableau dashboards to visualize player metrics to the boost team's performance.
Jun 2020 - Apr 2022
Elected Finance Chair’20 and Vice President'22 for Samskruthi, cultural club at G Narayanamma Institute of Technology and Science. Responsible for organizing cultural events and technical fests.