Amit Parmar
Executive Data Scientist @Barc India
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WORK HISTORY
Executive Data Scientist @Barc India
Mumbai, IN
Performed data analysis and statistical modeling on large-scale audience measurement and panel data using Python and SQL.• Built and validated predictive models for fraud detection and churn analysis using machine learning techniques.• Conducted hypothesis testing, regression analysis, classification, and time series analysis to ensure data accuracy and reliability.• Applied data validation, model validation, and statistical quality checks to improve measurement credibility.• Developed Power BI dashboards and MIS reports for business stakeholders and senior management.• Automated data processing and analytics workflows using Pandas, NumPy, and Scikit-learn.• Delivered actionable business insights through advanced analytics and data visualization.• Collaborated with cross-functional analytics, research, and technology teams.
EDUCATION
Bhavans College
Bachelors of Statistics, Statistics
ABOUT AMIT PARMAR
I believe every dataset has a story waiting to be told. As a Data Scientist at BARC India, I turn complex audience measurement data into actionable insights that empower media and business leaders to make smarter decisions.My expertise spans statistical quality analysis, predictive modeling, and advanced analytics — where I focus on refining methodologies, validating data, and ensuring accuracy at scale. Whether it’s enhancing panel insights or designing robust statistical tests, I thrive on solving problems that bring credibility and innovation to audience measurement.Along the way, I’ve been recognized with the BARC Annual Award for Outstanding Collaboration for building cross-functional partnerships and driving data-driven excellence and BARC quarterly awards for excellence in Research.What drives me? The challenge of transforming raw numbers into meaningful, actionable stories that spark impact. I’m eager to keep applying machine learning, analytics, and methodological research to new domains — from media to finance — where data can shape the future.
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