Tanaya Mukherjee
Summary
Product Data Scientist with expertise in creating data-driven solutions for complex business challenges. Proven experience in designing predictive models, conducting data mining, and performing statistical analysis to enhance product performance and customer satisfaction. Strong analytical skills and proficiency in Python and SQL have led to improved decision-making processes and increased operational efficiency.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Product Data Scientist
FlavorHawk Inc
Los Angeles, California
03.2024 - 05.2025
- Conducted structured code and algorithm reviews to document patent filings within three weeks.
- Developed dashboards for monitoring machine learning performance, analyzing failure patterns and root causes.
- Executed go-to-market experiments utilizing behavioral data to improve trial, conversion, and activation paths.
- Presented research findings and onboarding performance insights to stakeholders for refining product roadmap.
- Conducted statistical analysis using tools such as Python and R for in-depth research.
Opperations Coordinator
IN Network
Washington, Virginia
01.2024 - 01.2025
- Spearheaded community growth and stakeholder engagement among national security professionals, defining outreach strategies and partnerships.
- Developed an internship program and hosted events with over 100 attendees, translating vision into actionable workflows.
- Designed and published website and application for internship program, enhancing donor relations and content dissemination.
Machine Learning Engineer
TechForGood Inc
Boston, Massachusetts
03.2022 - 09.2022
- Conducted in-depth data analysis and visualization to identify customer behavior trends, aiding development of personalized product recommendation system with 85% precision in sentiment analysis.
- Applied NLP evaluation metrics, including BLEU, ROUGE, METEOR, and perplexity, to evaluate language models across translation, summarization, and generative tasks.
- Trained topic models and sentiment analysis tools achieving 95% precision using NLP; deployed tabular AutoML package on Kubernetes for enhanced performance in regression and classification tasks.
Education
Bachelor of Science - Data Science
Bryant University
Smithfield, RISkills
- Data analysis and statistical analysis
- Machine learning and natural language processing
- Stakeholder engagement and product management
- Amazon Web Services and Terraform
- Python programming
Certification
Amazon Web Services Machine Learning Engineer- Associate
Amazon Web Services A.I Practioner
References
References available upon request.
Timeline
Product Data Scientist
FlavorHawk Inc
03.2024 - 05.2025
Opperations Coordinator
IN Network
01.2024 - 01.2025
Machine Learning Engineer
TechForGood Inc
03.2022 - 09.2022
Bachelor of Science - Data Science
Bryant University
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