Data Analytics
Applied statistics, SQL, exploratory analysis, dashboards, and decision-focused reporting.
MS in DACSS @ UMass Amherst
RishavChakravarty
Data analytics and computational social science graduate student focused on machine learning, behavioral analytics, digital strategy, and evidence-based product systems.
Amherst, MassachusettsData · Behavior · Technology
Portfolio
Building data systems that connect technical analysis with human behavior and practical decisions.
Core Expertise
Data, Behavior, and Strategy
A technical and behavioral-science foundation applied across analytics, machine learning, and client-facing digital systems.
Machine Learning
Predictive modeling, clustering, classification, model tuning, and computer vision pipelines.
Digital Strategy
Website optimization, analytics dashboards, workflow automation, client-experience design, and growth strategy.
Evidence Snapshot
Selected measurable outcomes from consulting work, machine learning projects, and research analysis.
37%
Increase in new client inquiries
Steve Fisher Consulting
43%
Administrative workload reduction
Workflow automation
48%
Engagement boost
Simple Coaching analytics dashboards
93%
Face-recognition model accuracy
Independent TensorFlow project
250
Survey observations analyzed
AI advice-seeking experiment
6,429
Facebook friendship ties modeled
Copenhagen Networks Study
Portfolio Map
Explore the portfolio by academic background, professional work, technical projects, and recognition.
Academic foundation
Education
M.S. in Data Analytics & Computational Social Science at UMass Amherst.
Postgraduate Diploma in Data Science & Business Analytics from UT Austin.
B.S. in Psychology with a Computer Science minor from Virginia Tech.
Applied consulting
Experience
Digital Strategy & Tech Consultant at Steve Fisher Consulting.
Technical Consultant for Simple Coaching Inc.
Data Analytics Intern at Zad Holding Company Q.P.S.C.
Research and technical work
Projects
Face recognition software with 93% model accuracy.
Dynamic pricing model for 20k+ refurbished-device records.
Network analysis of co-presence, SMS, and Facebook friendship.
Awards and honors
Recognition
UPitch Spring 2026 Second Place Winner for Karnah.
KickStart VT Seed Grant Winner for CalendAI.
The Action Taker Award from LISC Massachusetts & the IXL Center.
Technical Stack
Built for applied analytics work
My resume emphasizes a practical technical stack across programming, analytics, dashboarding, web development, and data-science libraries.
PythonRJavaScriptSQLPower BIReact.jsNode.jsMongoDBPandasNumPyMatplotlibDocker
Open to data-focused opportunities
Interested in roles and collaborations involving data science, machine learning, behavioral analytics, digital strategy, dashboards, and applied AI systems.