Machine Learning Data Intern

Vamshi Krishna Perabathula

Fremont,CA,***** **************@*****.*** 774-***-**** https://www.linkedin.com/in/vk-perabathula/ https://github.com/perabathulavamshi

WORK EXPERIENCE

Underwriters Laboratories Inc, SAR Data Intern 05/2024 – 08/2024 Fremont, California

•Collected and analyzed large-scale SAR test data, ensuring compliance with KDB standards.

•Automated data workflows for test file generation, improving operational efficiency by 20%.

•Prepared technical reports summarizing data trends to support stakeholder decision-making.

•Collaborated with engineering and data teams to integrate testing data and improve software-hardware synchronization.

•Optimized testing processes using automated software tools, enhancing data accuracy and reporting efficiency. Solbolts Technologies PVT LTD, Project Intern 09/2022 – 03/2023 Hyderabad, India

•Developed to analyze IoT sensor data, enhancing predictive maintenance and performance monitoring.

•Automated real-time data pipelines on Raspberry Pi, improving response times by 30%.

•Provided data insights through reports and visualizations for system optimization and decision-making. TheSmartBridge, IoT Intern 06/2019 – 07/2019 Hyderabad, India

•Designed an IoT solution using Machine Learning algorithms, Python, and IBM Cloud to analyze system data and detect anomalies, reducing errors by 20%.

•Built to visualize sensor data, supporting operational improvements in smart home automation.

•Documented project outcomes and recommended data-driven improvements to enhance system reliability. PROJECTS

BIKE SHARING DEMAND PREDICTION

•Built machine learning models using Python and scikit-learn to forecast bike rental demand based on 2+ years of historical data.

•Identified factors like weather and seasonality, optimizing resource allocation by 30%.

• Delivered insights to optimize resource allocation and operational efficiency for bike-sharing services. CUSTOMER CHURN PREDICTION IN BANKING

• Developed classification models with 85% accuracy using Python and scikit-learn to predict customer churn.

•Conducted EDA and feature engineering, reducing churn rates by 10% in test simulations.

• Generated communicated insights for improving customer satisfaction metrics. NLP SENTIMENT ANALYSIS AND CLASSIFICATION

•Processed 10,000+ text samples for sentiment analysis using TF-IDF, word embeddings, and classification models.

•Improved model accuracy by 20% using optimized deep learning models (TensorFlow).

•Delivered insights through sentiment trends and visualizations for targeted marketing decisions. VIDEO GAME SALES ANALYSIS

• Analyzed 3,000+ records to identify trends across regions and genres using Python.

•Created predictive models to improve sales forecasting accuracy by 15%.

• Developed to assist publishers in optimizing their marketing strategies. SMART SECURITY SYSTEMS FOR HOME

•Engineered a scalable IoT-based home security system with real-time monitoring using Raspberry Pi, Python, and cloud processing.

•Integrated facial recognition with 95% accuracy using OpenCV, improving home security measures.

•Developed secure keyless entry mechanisms, ensuring user safety and data protection. SKILLS

Technical Skills : Python, R, SQL, C

Concepts: Machine Learning (Linear Regression, SVM, XGBoost, LightGBM), Deep Learning, Statistical Modeling, Predictive Analysis

Libraries & Frameworks : TensorFlow, Keras, OpenCV, Scikit-learn, Pandas, NumPy Data Management & Visualization:MySQL, PostgreSQL, Tableau, Power BI, Matplotlib Tools & Platforms: Jupyter Notebooks, Git,Github, IBM Cloud EDUCATION

Masters of Science in Data Science CGPA : 3.44,

University of the Pacific

08/2023 – 05/2025 San Francisco, CA

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Bachelor Of Technology in Electronics and Communication Engineering, Jawaharlal Nehru Technological University 06/2018 – 08/2022 Hyderabad, India

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