Rishav Chakravarty
Amherst, MA 01002
Education
University of Massachusetts Amherst
Sep. 2025 - May 2027 (Expected)Master of Science in Data Analytics & Computational Social Science (DACSS) · Amherst, MA
The University of Texas at Austin
Jan. 2024 - Sep. 2024Postgraduate Diploma in Data Science & Business Analytics · Austin, TX
Virginia Tech
Aug. 2021 - May 2024Bachelor of Science in Psychology (Minor in Computer Science) · Blacksburg, VA
Relevant coursework
- Intro to Quantitative Analysis
- Causal Inference
- Applied Statistics
- Regression & Predictive Modeling
- Time Series Forecasting
- Machine Learning
- SQL & Database Management
- Exploratory Data Analysis
- Data Visualization
Experience
Zad Holding Company Q.P.S.C.
Mar. 2021 - Aug. 2021Data Analytics Intern · Doha, Qatar
- Built datasets, database structures, and Power BI reporting workflows to support operational analysis and reduce manual reporting.
- Completed a client analytics project for Ooredoo Qatar using customer usage data, statistical inference, and Power BI to develop a mobile data-plan recommendation.
Steve Fisher Consulting
May 2025 - Apr. 2026Data Analytics & Strategy Consultant · Menifee, CA
- Analyzed client engagement, retention, and conversion data to support business and digital strategy decisions.
- Built KPI dashboards and predictive models for marketing, operations, and customer behavior; improved client-facing workflows and reporting.
Simple Coaching Inc.
Mar. 2025 - Aug. 2025Digital Strategy & Analytics Consultant · Remote
- Used customer journey, SEO, and performance analytics to improve service pages, digital strategy, and customer experience.
- Worked with leadership on new service offerings, digital audits, website improvements, and data-informed outreach.
Virginia Tech Dining Services - Dietrick
Aug. 2021 - Apr. 2024Student Manager · Blacksburg, VA
- Managed daily operations in a high-volume dining facility while training, supervising, and providing performance feedback to staff.
- Maintained customer-service, food-safety, and operational standards across a fast-paced multi-function environment.
Projects
Dynamic Pricing Model for ReCell
UT AustinPython, Linear Regression, EDA
- Developed a regression-based pricing model on 20,000+ refurbished-device sales and identified key drivers of resale value.
Stock Data Clustering
UT AustinPython, k-means, Hierarchical Clustering
- Clustered S&P 500 time-series data to identify equity groups with similar patterns and examine portfolio-diversification opportunities.
Mental Health Signal on Reddit
UMass AmherstPython, NLP, scikit-learn, Transformers, Plotly Dash
- Collected and analyzed 25,886 posts and comments from three mental-health communities; compared three sentiment methods and three classifiers, conducted topic analysis, and built an interactive dashboard.
Technical skills
- Quantitative
- Regression, Forecasting, Statistical Inference, Clustering, Pricing Analysis, Cost-Benefit Analysis, Customer Segmentation
- Tools
- Python, R, SQL, Power BI, Pandas, NumPy, scikit-learn, Microsoft SQL Server
- Business
- Revenue Analytics, Decision Analysis, Customer Analytics, KPI Reporting, Data Visualization
Honors and awards
The Action Taker Award: Recognized by LISC Massachusetts & the IXL Center for digital strategy and analytics work completed through the LISC Digital Growth Accelerator.
KickStart VT Seed Grant Winner - CalendAI: $500 seed grant from the Apex Center for Entrepreneurs at Virginia Tech.
Future Founder Startup Award - Minute Pitch Competition: $300 award from the Berthiaume Center for Entrepreneurship at UMass Amherst.
UPitch Spring 2026 Second Place - Karnah: Awarded second place and a $750 prize at UMass Amherst.