Krunal Patel

Data Analytics professional with nearly 2 years of experience in data analysis, business intelligence, dashboard development, KPI reporting, statistical modelling, machine learning, and business performance analysis across banking, academic, financial, and project-based environments. Extracted, cleaned, transformed, and validated structured datasets using SQL, Python, Power BI, Tableau, and Excel to improve data quality, reporting reliability, and business analysis. Performed exploratory data analysis, predictive modelling, trend analysis, and statistical validation to identify business patterns, reporting gaps, and performance insights.

Data Analytics Subject Matter Expert - Chegg India Pvt. Ltd. - New Delhi, India

(2023-02 - 2024-04)

• Solved 500+ advanced statistics, probability, and analytics problems using Python, R, SQL, and statistical modelling techniques to improve analytical accuracy
• Performed data analysis, hypothesis testing, regression modelling, and statistical validation to identify trends, test assumptions, and improve analytical reliability
• Developed Power BI and Excel dashboards for weekly and monthly KPI reporting, operational analysis, and performance tracking across 20,000+ records
• Validated datasets, reviewed KPI logic, and applied data quality checks to maintain reporting accuracy, consistency, and data integrity
• Translated statistical analysis, KPI insights, and reporting findings into clear dashboard summaries and recommendations for stakeholders

Data Science Intern – Banking and Financial Services - Tata Consultancy Services - Gandhinagar, Gujarat, India

(2022-02 - 2022-06)

• Queried and analyzed banking and customer datasets containing 20,000+ records using SQL, Python, Pandas, NumPy, joins, aggregations, and statistical techniques to identify customer behavior trends
• Conducted exploratory data analysis using Python, R, Power BI, and Tableau to evaluate customer behavior, campaign trends, and performance insights
• Built and evaluated Logistic Regression and Random Forest models, achieving 78% prediction accuracy for customer analytics use cases
• Designed Power BI dashboards and Tableau reports with KPI tracking, drill-through analysis, and trend visualization for weekly business performance reporting
• Prepared ad hoc reports using SQL, Python, and Excel to support customer analysis, campaign performance review, and business reporting decisions

Post Graduate Diploma - Data Analytics for Business - St. Clair College (2024-05 - 2025-07)

Master of Science - Big Data Analytics - St. Xavier's College (2020-06 - 2022-05)

Bachelor of Science - Statistics - St. Xavier's College (2017-07 - 2020-05)