Data Science Analyst

SAROJ KAPALI

+1-346-***-**** ***********.********@*****.*** linkedin.com/in/sa-roj github.com/skapali EDUCATION

University of Texas at Austin

M.S. in Data Science April 2025 - Present

University of Houston

B.S. in Computer Science, Minor in Mathematics December 2023 Honors: magna cum laude(GPA:3.7/4.0) Dean’s List PROFESSIONAL EXPERIENCE

Palm Foods LLC Houston, TX (Python) August 2018 - October 2021 Data Analyst (MYSQL, Excel, Python, Tableau)

● Analysed transactional data covering sales, inventory and customer behavior to enhance operational efficiency

● Optimized pricing and promotional strategies by evaluating discount impacts, leading to a 38% yearly revenue increase

● Developed user-interactive Tableau dashboards to track daily, weekly, and monthly store performance, improving data accessibility and decision-making

ACADEMIC PROJECTS

Full-Stack Web Developer - Flask Application Project (Python) - GitHub February 2023

● Led a cross-functional team to develop a Flask-based fuel rate prediction application

● Integrated front-end, back-end, and database, achieving 90%+ code coverage

● Implemented user-centric features like client login, profile management, and dynamic fuel quote calculations Wine Quality Prediction (R) - GitHub October 2022 - December 2022

● Developed a predictive model in R for wine quality assessment, achieving 94% accuracy

● Applied K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) algorithms for data analysis

● Optimized model performance, increasing accuracy by 10% through improved data preprocessing 3D Runner Game (Unity) - GitHub August 2023 - December 2023

● Developed a 3D runner game with character movement, obstacle detection, and power-ups

● Invested 100+ hours into developing game mechanics using Unity scripting PERSONAL PROJECTS

Supermarket Sales Analysis(Python) - Kaggle March 2025

● Analyzed sales data from a supermarket dataset to identify trends in product performance, customer behavior, and payment preferences using Python (Pandas, Matplotlib, Seaborn)

● Built visualizations, including sales trends by product line, customer demographics, and daily sales patterns

● Conducted data cleaning, transformation, and statistical analysis to ensure accuracy and enhance interpretability TECHNICAL SKILLS

Machine learning & Data Science:Neural Networks, Deep Learning, Bayesian Learning, Optimization, Prediction, Linear Modeling, Clustering, Classification, Statistical Modeling, NLP Programming Languages:Python, R, C#, C, C++, HTML, CSS, JavaScript, Java, OOP Web Development:React.js, Node.js, Flask

Databases: SQL, MySQL, SQL Server, PostgreSQL

Data Visualization: Tableau, PowerBI, Matplotlib, Seaborn, Plotly, NumPy, SciPy, Pandas ML Frameworks: Scikit-Learn

Version Control: Git, GitHub

Software & Tools:Microsoft Office Suite, RStudio, Visual Studio Code, Eclipse, Adobe Photoshop,Jupyter Notebook, PyCharm, Unity 3D, GitHub, Putty, Flask, Paraview CERTIFICATIONS & BOOTCAMPS

● Hewlett Packard Enterprise Data Science Institute Micro-Credential Badge in Data Science

Data Visualization using Paraview & Tableau

Scientific Programming with Python

Introduction to Machine Learning

Principles of Data Management

● Broadway MERN Stack Web Development Training

Program

● Bootcamps:

Takeo Data Scientist Bootcamp

Takeo Front-End Bootcamp

The complete SQL Bootcamp

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