Data Science Machine Learning

Sai Supraja Ravi Kumar

Houston, TX +1-346-***-**** ************@*****.*** www.linkedin.com/in/sai-supraja-ravi-kumar-ba6968223 SUMMARY

Data Science graduate student with a strong background in computer science, machine learning, and analytics. Skilled in building scalable, real-world solutions using tools like Python, SQL, Power BI, TensorFlow, and MLFlow. Comfortable working in fast-paced, cross-functional environments, solving tough problems, and adapting quickly to new challenges. Passionate about turning data into impact Education

University of Houston- Houston, Texas August 2023- May2025 Master of Science in Engineering Data Science GPS – 3.96 COURSEWORK: Introduction to Data Science, Introduction to Machine Learning, Probability and Statistics for Engineers, Digital Image processing, Database Management Tools and Data Analysis in Construction Management, Big Data Analytics, Natural Language Processing, Information Visualization.

Anna University - Chennai, India June 2018 - July 2022 Bachelor of Engineering in Electronics and Communication Engineering GPS – 8.68 Technical Skills

• Languages: Python, R, SQL, Java, JavaScript, C, HTML, CSS

• Libraries & Tools: scikit-learn, spaCy, Postman, Git, Tableau, Power BI, Microsoft Office Suite

• Cloud & Frameworks: Azure VM, REST APIs, NodeJS, Flask, Anaconda

• Concepts: Machine Learning, Natural Language Processing, Data Pipelines, Agile Collaboration Experience

Instructional Assistant

Introduction to Data Science and Digital image Processing

• University of Houston Jan 2023 - Present

• Guided students in data science concepts, coding practices, and NLP techniques

• Provided 1-on-1 mentorship during project development and debugging

• Helped design assignments around text mining, statistical modeling, and ML. Start-Tech Academy Chennai, India Data Science Intern, 07/2022 09/2022

• Developed and maintained data pipelines to automate ETL processes. Performed exploratory data analysis on large datasets to identify patterns and trends. Analyzed customer behavior using predictive analytics techniques such as regression, clustering, and decision trees.

• Elevated product feedback accuracy by 20% through advanced sentiment analysis

• Participated in a project to integrate machine learning models into existing business processes, contributing to a 10% increase in operational efficiency.

• Supported the data science team in conducting exploratory data analysis, identifying key trends that informed strategic business decisions.

Anna University Chennai, INDIA Research Assistant Intern, 01/2021 01/2022

• Conducted literature reviews to identify relevant research papers and studies in support of project objectives.

• Developed survey instruments and assisted with data collection efforts.

• Performed qualitative analysis on collected data to identify trends or patterns. Projects

• Tumor Detection using Neural Networks, Capstone Project: self-done project, used the University of Wisconsin Hospitals' breast cancer dataset to implement a Python-based neural network. Building a binary classification model that can determine, from a variety of features, whether a tumor is benign (0) or malignant (1) was the aim.

• Training and Evaluating DL based CV pipeline, Capstone Project: On the CIFAR-10 dataset, a K-nearest neighbor classifier was implemented, yielding an accuracy of 60.76%. achieved 70% accuracy on the CIFAR-10 dataset after implementing a vision transformer model and comparing its performance to other DL-based image classification algorithms.

• Creation of Virtual Machine on Microsoft Azure, Set up a secure REST API using NodeJS and Express on an Azure virtual machine, connected to a SQL database. Verified full CRUD functionality using Postman. Also led a team to a national hackathon top-5 finish by building a customer churn prediction model. Certifications

• Data Science Certification – Besant Technologies, May 2023.

• Data analytics job simulation – Deloitte, Fed 2025.

• Power bi – code basic, Associated of SQL – data camp and Tableau and Para view – HEP and also Deep learning – HEP

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