DINESH YAADAV M
Chicago
Summary
Results-driven Data Scientist with experience in machine learning, statistical modeling, and data-driven decision-making. Strong expertise in SQL, Python, and cloud-based solutions, with hands-on experience in developing scalable data pipelines, predictive models, and business intelligence solutions. Currently pursuing a Master’s in Data Science at Illinois Institute of Technology, with a focus on deep learning and reinforcement learning techniques. Hands-on experience in marketing analytics through an internship at Label Master.
Overview
8
8
years of professional experience
Work History
Intern – Data Science
Label Master
01.2025 - Current
- Developed machine learning models to predict customer behavior, improving targeted marketing effectiveness
- Established scalable data pipelines for marketing analytics, reducing processing time by 30%
- Conducted A/B testing and statistical experiments to optimize marketing campaigns, leading to a 15% increase in conversions
- Designed predictive analytics solutions to identify customer trends, enhancing decision-making for stakeholders
- Automated data extraction and transformation processes using Python and SQL, improving operational efficiency
Data Analyst
Amazon
06.2021 - 07.2023
- Built predictive models to optimize logistics operations, reducing shipping delays
- Designed a database migration plan ensuring seamless order tracking and scalability
- Optimized fulfillment center operations by analyzing shipment data, improving delivery efficiency by 12%
- Developed SQL-based tracking systems to monitor high-priority shipments during peak events like Prime Day
- Collaborated with cross-functional teams to automate transportation workflow processes, reducing manual workload by 25%
- Designed data-driven solutions for inventory management, leading to better forecasting accuracy and reduced delays
Alexa Machine Learning Specialist I & II
Amazon
09.2017 - 06.2021
- Refined training datasets for Alexa’s speech recognition models, reducing error rates by 18%
- Developed automation scripts in Python and PowerShell to streamline data ingestion, improving processing speed
- Implemented SQL-based monitoring dashboards for tracking model performance and operational metrics
- Conducted exploratory data analysis (EDA) to diagnose performance bottlenecks in NLP models
Education
Master of Science - Data Science
Illinois Institute of Technology
Chicago, IL03.2025
Skills
- Data Cleaning
- Data Transformation
- Data Visualization
- Tableau
- Power BI
- Predictive Modeling
- A/B Testing
- Customer Segmentation
- Marketing Analytics
- Statistical Analysis
- Experimental Design
- Time Series Forecasting
Timeline
Intern – Data Science
Label Master
01.2025 - Current
Data Analyst
Amazon
06.2021 - 07.2023
Alexa Machine Learning Specialist I & II
Amazon
09.2017 - 06.2021
Master of Science - Data Science
Illinois Institute of Technology
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