Unmit Patel
North Attleboro,Massachusetts
Summary
Detail-oriented and analytical Data Science & Machine Learning professional pursuing a Master’s in Analytics with Machine Learning at Northeastern University. Strong foundation in Python, SQL, Machine Learning, and Data Analysis, with hands-on experience in predictive modeling, data visualization, and recommendation systems. Seeking a Data Science internship to apply problem-solving skills and drive data-driven business intelligence solutions.
Overview
1
1
Certification
Work History
Software/Firmware Engineering Internship
Zebra Technologies
Lincoln, RI
05.2023 - 08.2023
- Developed Software for Walmart to interface office label printers
- Developed software for searching and fetching files from Oracle Cloud Infrastructure, setting cryptographic function for encrypting and decrypting software and firmware files, printer connection, deleting files, uploading software and firmware files to the printers
- Followed SDLC stages to develop and deploy the product, performed manual functional, performance, unit, security, UI, and installer testing of software
- Project executed using Scrum methodology and participated in backlog refinement, standup, sprint review, and product demos
- Solution Stack: Visual Studio Enterprise Edition, Oracle Cloud Infrastructure, C#.NET programming language, JIRA and Stack
Education
Masters in Analytics - Machine Learning
Northeastern University
Boston01.2025
Associate degree - Applied Data Science
Massachusetts Institute of Technology
08.2024
Bachelor of Science - Computer Science
University of Massachusetts
Boston05.2024
Skills
- Programming Languages: Python, SQL, R, Java, C#NET, C
- Development Tools and IDEs: Jupyter Notebook, Visual Studio Code, PyCharm, IntelliJ, Eclipse, and Android Studio
- Version Control and Collaboration: GitHub
- Data Libraries: NumPy, Pandas, Seaborn, and Matplotlib
- Visualization Tools: Tableau, Power BI
- Core Machine Learning: Scikit-Learn, Data Visualization, Data Cleansing, Supervised Learning, Unsupervised Learning
- Regression Models: Linear Regression, Ridge Regression, and Lasso Regression
- Machine Learning Algorithms: Decision Trees, Random Forest, K-Means Clustering
- Deep Learning: Neural Networks, Deep Learning
- Software Development Practices: Software Development Life Cycle, Database Management Systems
- Methodologies: Waterfall Methodology, Agile Methodologies, Scrum, and Kanban
- Management and Interpersonal: Time Management, Interpersonal Skills, Communication Skills, Organizational Skills
- Critical Thinking and Problem-Solving: Critical Thinking, Problem Solving
Certification
- SQL Programming, https://www.linkedin.com/learning/certificates/3ee5ed982ea8eefe3d2314272b29ecb3dc909b03a030eb730d88c941a982f7da
- Python Programming, https://www.linkedin.com/learning/certificates/e56c37fdbc3c1dd9a360d0b70a69308905f7b98d7e2d1fe8c575bff12ce3550d
- Intro to AI on Cloud by Great Learning
- Mastering Big Data Analytics by Great Learning
- Oracle Java Foundation Associate (1Z0-811) Certificate
Hobbies and Interests
- Volleyball
- Cricket
- Running
- Cycling
- Traveling
- Photography
- Calligraphy
- Board games
- Puzzles
- Volunteering
Projects
Used Car Price Prediction (Capstone Project) SuperKart Sales Revenue Prediction OnSports Player Clustering Analysis
- Developed a machine learning model to predict used car prices based on key characteristics.
- Employed feature engineering, regression analysis, and model evaluation techniques.
- Tools Used: Python, Scikit-learn, Pandas, Matplotlib, Jupyter Notebook.
- Built a predictive model for supermarket sales forecasting.
- Applied time series analysis, random forest regression, and cross-validation techniques.
- Conducted unsupervised learning and clustering techniques to categorize player performance.
- Used K-Means clustering, PCA, and feature scaling for segmentation.
Timeline
Software/Firmware Engineering Internship
Zebra Technologies
05.2023 - 08.2023
- SQL Programming, https://www.linkedin.com/learning/certificates/3ee5ed982ea8eefe3d2314272b29ecb3dc909b03a030eb730d88c941a982f7da
- Python Programming, https://www.linkedin.com/learning/certificates/e56c37fdbc3c1dd9a360d0b70a69308905f7b98d7e2d1fe8c575bff12ce3550d
- Intro to AI on Cloud by Great Learning
- Mastering Big Data Analytics by Great Learning
- Oracle Java Foundation Associate (1Z0-811) Certificate
Masters in Analytics - Machine Learning
Northeastern University
Associate degree - Applied Data Science
Massachusetts Institute of Technology
Bachelor of Science - Computer Science
University of Massachusetts
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