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Data Science / Applied ML

Machine learning, NLP and modeling projects, including a face-recognition system and a pricing model.

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. 2024

Postgraduate Diploma in Data Science & Business Analytics · Austin, TX

Virginia Tech

Aug. 2021 - May 2024

Bachelor of Science in Psychology (Minor in Computer Science) · Blacksburg, VA

Relevant coursework

  • Machine Learning for Social Scientists
  • Text as Data
  • Data Science Fundamentals
  • Causal Inference
  • Network Inference
  • Regression & Predictive Modeling
  • Model Tuning & Validation
  • Applied Statistics
  • Python for Data Science

Experience

Steve Fisher Consulting

May 2025 - Apr. 2026

Data 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.

Google Developer Student Clubs

Aug. 2023 - Nov. 2023

Featured Speaker - AI for Mental Health · Blacksburg, VA

  • Presented applications of machine learning for personalized mental-health interventions to 150+ participants.
  • Built supporting Power BI visualizations and discussed the use of behavioral science and data-driven methods in health technology.

Intercare Therapy, Inc.

Jan. 2025 - Jun. 2025

Behavioral Health Technician · San Diego, CA

  • Collected and reviewed behavioral data during ABA sessions and used client progress to inform session-level adjustments under clinical supervision.
  • Implemented reinforcement schedules, prompt fading, and task analysis while maintaining HIPAA requirements and coordinating with caregivers.

Zad Holding Company Q.P.S.C.

Mar. 2021 - Aug. 2021

Data 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.

Projects

Mental Health Signal on Reddit

UMass Amherst

Python, 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.

Face Recognition Software

Independent

Python, TensorFlow, Computer Vision

  • Built a deep-learning face-detection system that reached 93% accuracy after hyperparameter tuning and reduced inference time by 25% with GPU acceleration.

Dynamic Pricing Model for ReCell

UT Austin

Python, Linear Regression, EDA

  • Developed a regression-based pricing model on 20,000+ refurbished-device sales and identified key drivers of resale value.

Technical skills

Languages
Python, R, SQL, JavaScript
Machine Learning
scikit-learn, TensorFlow, Transformers, NLTK, Classification, Clustering, Regression, Model Tuning
Data / Tools
Pandas, NumPy, MongoDB, Power BI, Plotly Dash, Git, Docker

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.