Machine Learning Data Science

Smit Patel

www.linkedin.com/in/smit**** *********@*****.*** +1-203-***-****

SUMMARY

Enthusiastic Master’s student in Data Science at the University of New Haven with a strong Computer Science and Engineering background. Proficient in Python, SQL, and Power BI, with proven expertise in data analysis, predictive modeling, and machine learning. Demonstrated skills in problem-solving, leadership, and communication, gained through professional experiences and impactful projects.

EDUCATION

• University of New Haven, West Haven, CT Graduation: May 2025 Master of Science in Data Science GPA: 3.74/4.00

• Gujarat Technological University (GTU), Gujarat, India Graduation: July 2023 Bachelor of Engineering in Computer Science and Engineering GPA: 8.67/10 Projects

1. Face Recognition Using Deep Learning

• Description: Built a high-accuracy face recognition system for security applications.

• Key Skills Used: PyTorch, Region-Based Convolutional Neural Networks (RCNN), Data Preprocessing, Data Augmentation, Deep Learning, Python

• Result: Achieved 95% accuracy, ensuring production-level reliability. 2. Emotion Detection Using NLP

• Description: Designed a system to classify emotions from text for customer sentiment analysis.

• Key Skills Used: TensorFlow, Scikit-learn, NLP, Text Preprocessing, Hyperparameter Tuning, Python

• Result: Delivered a model with 87% accuracy, improving customer experience analytics. 3. Predictive Modeling

• Heart Disease Prediction: Achieved 74% accuracy on datasets related to heart disease. o Key Skills Used: Scikit-learn, Machine Learning, Data Analysis, Python

• Water Purity Prediction: Built a model with 69% accuracy for water quality prediction. o Key Skills Used: Scikit-learn, Data Preprocessing, Predictive Modeling, Python 4. AI-Based Projects

• Market Basket Analysis: Implemented association rule learning algorithms for retail insights. o Key Skills Used: Python, Data Analysis, Machine Learning Algorithms, Association Rules 5. Machine Learning for Similar Sentence Detection

• Description: Designed a pipeline for detecting and classifying similar sentences with high precision.

• Key Skills Used: NLP, Scikit-learn, Python, Semantic Similarity Algorithms 6. Data Visualization

• Description: Created advanced dashboards and visualizations to support decision-making.

• Key Skills Used: Power BI, Matplotlib, Seaborn, Python, Data Analysis Relevant Experience

Event Support - Charger Rec

West Haven, Connecticut December 2023 – Present

• Organized and coordinated campus recreation events, ensuring smooth operations and participant satisfaction.

• Managed event logistics, including setup, registration, and on-site support, for diverse audiences.

• Maintained communication with teams, promptly addressing and resolving operational issues. Data Analyst - DESK

New Haven, Connecticut August 2024 – December 2024

• Extracted, cleaned, and analyzed large datasets to track KPIs and generate actionable insights.

• Built data capture systems and enhanced reporting using MSSQL and Power BI.

• Designed interactive dashboards to monitor organizational performance and trends. Technical Supervisor - Accurate Hydraulic Engineers Vadodara, Gujarat October 2018 – August 2023

• Supervised technical teams and resolved data discrepancies to ensure system reliability.

• Maintained databases and improved data quality through process optimization.

• Led troubleshooting initiatives, reducing project delays by 25%. Data Science Intern - GO CodeX

Vadodara, Gujarat February 2023 – May 2023

• Developed predictive models for business insights with accuracy up to 85%.

• Utilized SQL and Power BI to create detailed reports for stakeholders.

• Conducted regular model validations to ensure robust performance. Data Science Intern - Tecchnook

Online February 2023 – May 2023

• Acquired expertise in Python programming and data preprocessing techniques.

• Implemented machine learning algorithms to improve dataset accuracy by 20%. Data Science Intern - BrainyBeam

Online June 2022 – July 2022

• Analyzed real-world data using Python, focusing on efficiency and accuracy.

• Contributed to project discussions, delivering innovative solutions for data challenges. Skills

Technical Skills

• Programming Languages: Python, R, SQL

• Machine Learning & Deep Learning Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, NLP

• Data Manipulation & Integration: Pandas, NumPy, API Integration, Medallion Architecture

• Visualization Tools: Power BI, Matplotlib, Seaborn

• Development Tools: Jupyter Notebook, Git, VS Code, MySQL Non-Technical Skills

• Communication: Clear and concise verbal and written communication.

• Leadership: Experienced in managing teams and delivering results under pressure.

• Problem-Solving: Analytical mindset with a track record of resolving complex challenges.

• Time Management: Skilled in prioritizing tasks to meet tight deadlines.

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