Raunit Doshi
Dallas, Texas - *****; +1-940-***-****; ******.*****@********.***
https://www.linkedin.com/in/raunit-doshi/
EDUCATION
The University of Texas at Dallas May 2025
Master of Science, Business Analytics GPA 3.56
Narsee Monjee Institute of Management Studies, Mumbai June 2023 Bachelor of Science, Applied Statistics and Analytics GPA 3.75 SKILLS
R, Python, MySQL, NoSQL, MongoDB, Snowflake, Hadoop, Tableau, Power BI, SAS, Microsoft Office Suite, Machine Learning Algorithms, Statistics, Data Analysis, Communication, Teamwork CERTIFICATIONS
• MySQL for Data Analytics and Business Intelligence (Udemy)
• SQL for Data Science, UC Davis (Coursera)
• MongoDB Series, (MongoDB)
PROFESSIONAL EXPERIENCE
NORTHAKROSS Technologies, Mumbai, India May 2022 – November 2022 Data Analyst Intern
• Transformed monthly transaction data into interactive Tableau graphs, which enhanced client bank efficiency by 16%
• Generated Excel trend analysis charts for strategic decision support and product optimization
• Utilized R for comprehensive data analysis and hypothesis testing, and leveraged Tableau to create interactive dashboards for client insights
SmartKnower, Remote/online May 2021 – June 2021
Data Scientist Intern
• Conducted secondary research on COVID-19 statistics, which included cases, fatalities, and vaccination rates
• Applied Python-based ML algorithms for predictive analytics and presented the results through Tableau dashboards ACADEMIC PROJECTS
Customer Segmentation and Prediction of Term Deposit Purchase, Graduate year October 2023 – December 2023
• Led predictive analytics on 10,000+ client dataset, boosting banking sector marketing strategies using ML techniques
• Streamlined the data processing workflow, which reduced analysis time by 30% and effectively segmented 5 distinct customer groups
• Enhanced term deposit prediction accuracy by 20%, increasing marketing efficiency and client satisfaction by 15% Movie Recommendation System Using User Clicks Data, Senior year February 2023 – May 2023
• Calculated the Engagement Factor (EF) to assess user behavior and identify key factors influencing engagement
• Implemented a Python-based approach, including a Nearest-Neighbor method and Genre-Based Recommendation System using a Decision Tree, resulting in a 25% accuracy improvement on a movie streaming platform Constructing Optimal Tire Strategy for F1 Racing by Lap Times Prediction, Senior year August 2022 – November 2022
• Forecasted total race time on all potential strategies in R and identified the optimal strategy
• Executed strategies for the 2022 Abu Dhabi Grand Prix that closely mirrored top teams and drivers for podium finishes ORGANIZATIONAL EXPERIENCE
Business Analytics Leadership Council, UTD September 2023 – December 2023 Program Mentor
• Guided students in course selection and offered support for securing off-campus accommodation