MEHULKUMAR KHIMJI PATEL
Minneapolis,MN
Work Preference
Summary
Senior Data Scientist with 4 years of experience in data science and analytics across retail and financial services. Skilled in Python, SQL, and Power BI, with a proven record of building predictive models, churn forecasting, recommendation systems, and demand forecasting solutions that boost revenue, optimize supply chains, and improve customer retention
Overview
5
5
years of professional experience
Work History
Data Analytics Consultant
CARLSON ANALYTICS LAB
Minneapolis, MN
09.2024 - 08.2025
- Optimized warehouse site selection for a regional distribution network by building a Python-based geospatial model with 10+ criteria (supplier density, product demand distribution, DEI metrics), cutting supplier-to-warehouse travel distance by 15%
- Designed a Power BI dashboard connected to Google BigQuery to simulate warehouse placement scenarios by region, enabling executives to identify high-potential growth markets and supporting a projected revenue expansion from $2M to $10M
- Engineered a Python-based demand forecasting model to predict SKU-level sales across regions, improving logistics and inventory planning accuracy, reducing stockouts, and delivering a 28% gain in forecast precision over baseline methods
- Implemented a product recommendation system for an omnichannel retail client using association rules with Alteryx-Snowflake pipelines, achieving a 15% uplift in sales conversion and strengthening category-level cross-sell effectiveness
Senior Data Analyst
THINK360.AI
India
01.2023 - 08.2024
- Led a cross-functional team of 6 to build a loss prevention and retail fraud detection platform in Python and AWS, extracting 400+ customer and transaction KPIs to support merchandising and sales decisions, generating $15M+ in incremental revenue
- Developed fraud detection logic using SQL and Python to flag high-risk retail patterns such as return abuse, coupon misuse, and payment anomalies by combining business rules with ML scores, increasing early fraud detection precision by 15%
- Streamlined millions of transactions into 20+ customer behavior categories using BigQuery and Python, uncovering patterns that strengthened fraud monitoring and enabled targeted cross-sell strategies, boosting attach rates and CLV
- Partnered with merchandising, operations, and loss-prevention teams across 22 client accounts to integrate analytics solutions into retail decisioning systems, aligning practices with internal compliance standards and improving operational efficiency
Data Analyst
THINK360.AI
India
07.2021 - 12.2022
- Built Power BI dashboards to track merchandising, store traffic and customer performance metrics by integrating sales forecasts, product affinity analysis, and customer segmentation, reducing early churn by 22% and inventory write-offs by 14%
- Devised supervised models to assess BNPL purchase risk and repayment exposure, enabling retailers and lending partners to confidently expand financing programs that improved checkout conversion by 18% and accelerated BNPL adoption
- Expanded BNPL program impact by developing pricing strategies, portfolio performance trackers, and attribution models, leveraging loyalty data to personalize financing offers across customer segments and increase repeat purchases by 20%
Marketing Data Analyst
BRIDGEX
India
01.2021 - 06.2021
- Designed 5+ actionable business intelligence dashboards in Tableau by blending data of 150+ universities and 400+ courses
- Performed A/B testing on communication channels, improving targeted consumer conversion rates by 17%
Education
Master of Science - Business Analytics
UNIVERSITY OF MINNESOTA, Carlson School of Management
08.2025
Bachelor of Engineering - Electronics and Telecommunication
UNIVERSITY OF MUMBAI, DJ Sanghvi College of Engineering
06.2021
Skills
- Python
- Pandas
- Numpy
- Scikit-learn
- R
- SQL
- Tableau
- Power BI
- Excel
- Power Point
- Google BigQuery
- AWS
- Snowflake
- PySpark
- Dbt
- Git
- ETL
- Predictive Modeling
- A/B Testing
- Statistics
- Machine Learning
- NLP
- Optimization
- Root Cause Analysis
- Causal Inference
- Business Intelligence
- Reporting
- Recommendation Systems
- Category Management
- Agile/Scrum Practices
Skills
Python (pandas, numpy, scikit-learn), R, SQL, Tableau, Power BI, Excel, Power Point, Google BigQuery, AWS, Snowflake, PySpark, dbt, Git, ETL, Predictive Modeling, A/B Testing, Statistics, Machine Learning, NLP, Optimization, Root Cause Analysis, Causal Inference, Business Intelligence, Reporting, Recommendation Systems, Category Management, Agile/Scrum Practices
Projects And Accomplishments
- LLM4SQL, Developed a GenAI-based SQL query assistant using LangChain and HuggingFace, enabling natural language-to-SQL translation allowing retail teams to access sales and inventory insights without technical expertise.
- Behavioral Analytics, Secured 3rd place at UMN MinneMudac 2025 by developing NLP-enabled predictive models (XGBoost, DistilBERT) on 39K+ mentoring call notes to forecast match churn, accurately flagging ~80% of at-risk closures.
Certification
- IBM Data Science Professional Training - 2021
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Affiliations
- University of Minnesota
Languages
English
Full Professional
Interests
Data Analytics
Software
Python
Quote
Don’t postpone joy until you’ve learned all your lessons. Joy is your lesson.
Alan Cohen
Timeline
Data Analytics Consultant
CARLSON ANALYTICS LAB
09.2024 - 08.2025
Senior Data Analyst
THINK360.AI
01.2023 - 08.2024
Data Analyst
THINK360.AI
07.2021 - 12.2022
Marketing Data Analyst
BRIDGEX
01.2021 - 06.2021
Master of Science - Business Analytics
UNIVERSITY OF MINNESOTA, Carlson School of Management
Bachelor of Engineering - Electronics and Telecommunication
UNIVERSITY OF MUMBAI, DJ Sanghvi College of Engineering
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