Umeaiman Merchant

Orlando, FL · +1 (813) 534-3119· umeaimanyusuf@usf.edu

Hello! I am currently a Masters student in the Department of Artificial Intelligence (AI) and Business Analytics at University of South Florida, Tampa.

Currently working as a Data Science Intern at Universal Studio in the Global Product & Pricing Team, where I focus on revenue for products.


I am specializing in Data Analysis, Data Science, and Business Analytics. My experience includes working with Ernst & Young LLP and LTIMindree for over more than 3 years in handling end-to-end data projects.


I am eager to employ a passion for data-driven decision-making and proven leadership experience to contribute to effective business solutions and organizational growth.


Experience

Data Science Intern

Universal Studio Orlando
Sept 2025-Present
  • Automated data pipelines using Python, reducing manual effort by 40% and enabling real-time predictive insights, real-time data availability for predictive modeling.
  • Delivered actionable pricing insights that enhanced business decision-making, driving measurable improvements in efficiency and forecasting reliability.

Data Science Intern (Project Lead)

FL-DSSG (University of North Florida)
May 2025-Aug 2025
  • Analyzed multi-source education data to measure the long-term impact of arts programs on student outcomes and community well-being, supporting data-driven funding requests and policy advocacy..
  • Designed a machine learning–based school ranking system leveraging extended scoring rubrics across funding, governance, engagement, and quality dimensions to identify top 15 arts-focused schools.
  • Implemented and fine-tuned GenAI feedback engine via LLMs (OpenAI, LangChain) to auto-generate personalized principal reports, enhancing transparency, motivation, and award selection accuracy.

Volunteer Research Assistant

Univeristy of South Florida
Aug 2024 - Present
  • LOS Prediction for Heart Implant Patients: Developed a tree-based model achieving an accuracy score of 79.8% to predict length of stay, which provided insights to optimize resource allocation and reduce hospital costs based on predictive outcomes.

Consultant

EY LLP
Oct 2023 - Jul 2024
  • Customized SAC analytics app UIUX with JavaScript, improving user interaction and enhancing overall usability by 25%..
  • Developed impactful data stories and dashboards in SAP SAC, facilitating clear communication and analysis of key business metrics, which increased stakeholder engagement by 30%.
  • Built effective planning models in SAP SAC, driving informed data based decision-making and optimizing resource allocation, leading to a 15% improvement in forecasting accuracy.
  • Developed a Retrieval Augmented Generation (RAG) system using Python, Langchain, and Streamlit to enhance language models' accuracy by integrating external data sources.
  • Engineered a custom chatbot with OpenAI's GPT-4 model, enabling users to interact via a web interface.
  • Enhanced the chatbot's capability to provide accurate responses and dynamic visualizations, significantly improving user engagement and interaction.

Senior Software Engineer

LTIMindtree Limited
Jul 2021 - Oct 2023
  • Created a Tableau dashboard for data anomaly detection through collaborative efforts with cross-functional teams, utilizing advanced Oracle SQL techniques for error identification and resolution, which resulted in a 20% reduction in data-related issues.
  • Automated 5 Solidatus Tool tasks using Python, boosting productivity by 40% and streamlining workflows.
  • Innovated UiPath-RPA solutions for comprehensive Tableau testing, cutting manual testing efforts by 70% and enhancing testing coverage to ensure more robust data integrity.
  • Conducted thorough reviews of requirements and technical specifications, leading to a 25% reduction in post-implementation defects.
  • Leveraged Oracle SQL for robust back-end data validation, ensuring data integrity and adherence to business requirements.
  • Streamlined communication with developers, improving issue resolution time and promoting efficient collaboration.

Intern

Samsons Hardware
Jan 2021 - May 2021
  • Leveraged Tableau to create dynamic data visualizations and conduct in-depth analysis of sales trends, incorporating social, seasonal, and local supply and demand factors, which informed strategic decision-making.
  • Developed a machine learning model using Python, exploratory data analysis (EDA), and feature engineering to predict demand for hardware machinery, resulting in a 25% reduction in prediction error and optimized supply chain operations.

Education

VIT, Pune

B.Tech in Electronics Engineering
August 2017 - May 2021

Univeristy of South Florida, Tampa

Masters in AI and Business Analytics
August 2024 - Present

Skills

Programming Languages
Frameworks & Tools
    • -->
Machine Learning
  • Classification
  • Regression
  • Feature Engineering
  • Data scraping
  • Data visualization
  • Data modeling

Projects

InterVista.ai – AI-Based Mock Interview Website
Explore InterVista.ai, an innovative AI-based platform designed to transform your interview experience! Receive personalized feedback on communication and performance, boosting the confidence of over 50% of participants.
Data Science Project- Salary Prediction
Proposed a salary prediction tool for data professionals, leveraging feature engineering, hypothesis testing, and Regression Algorithm to improved prediction accuracy by 28.76%. Optimized Linear, Lasso, and Random Forest Regressors using GridsearchCV to reach the best model.
Coffee Sales Analysis using MS Excel
Conducted a comprehensive analysis of coffee sales data using MS Excel, delivering actionable insights into customer behavior, product performance, and sales trends through an interactive dashboard with filters and charts.
House Prices Analysis
Developed an interactive Tableau dashboard with dynamic filters and calculated fields to analyze and visualize house prices by neighborhood, including trend forecasting and geographical heat maps, improving market insight and investment decisions.
Indian Engineering Institutes Analysis
Created a comprehensive Tableau dashboard to compare and rank Indian engineering institutes based on multiple criteria, such as services provided and faculty-student ratios, using advanced mapping and table calculations to facilitate strategic decision-making.

Certifications


Blogs


Achievements

  • Won Best Speaker and 1st Position in Hindi Elocution at St. Philomena Convent High School
  • Won 2nd price in Swimming Competition at Nashik Mahanagar Jal Krida Academy
  • School House Captain 2014-2015


Get In Touch

Send me a message
+1 (813) 534-3119
umeaimanyusuf@tusf.edu