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Machine Learning Development Engineer, Python, Java, html, css, php

Location:
New Haven, CT
Posted:
June 20, 2025

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Resume:

Sri Lakshmi kavya Penugonda

*************@*****.*** — +1-203-***-**** — LinkedIn

Professional Summary

Aspiring Software Development Engineer with a strong foundation in python and familiar with java and object-oriented programming principles. Focused on building practical, user-focused applica- tions with hands-on experience in backend development, data structures, and API integration. Education

New England College

Master’s in Computer Information Systems Expected Dec 2025 Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Bachelor’s Degree in Computer Science May 2023

GPA: 3.7/4.0

Technical Skills

Languages: Python, JavaScript, HTML/CSS, SQL

ML Libraries: Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn Deep Learning: PyTorch, TensorFlow, Keras

Data Processing: Time-Series Analysis, Signal Processing Libraries Experience

Machine Learning Intern – Corizo Edutech Jan - May 2023

• Built a heart sound classification system using signal processing, machine learning (Random Forest), and deep learning (LSTM).

• Applied techniques like time-domain feature extraction, data cleaning, and model evaluation on the PASCAL heart sound dataset using Python and Google Colab.

• Improved model accuracy by comparing ML and DL techniques to classify heart murmurs, arti- facts, and normal sounds.

Projects

Cryptocurrency Price Alert System May 2025

• Integrated the yFinance API to access real-time cryptocurrency prices and market data.

• used SQLite to track notifications and to manage user preferences (Ex price threshold and cryp- tocurrency).

• Designed a GUI using Tkinter that allows users to enter desired cryptocurrencies, set price alerts, and get notifications.

• Integrated email notifications to alert users in real-time.

• Tech: Python, yFinance API, SQLite, Tkinter

FitFuse – Fashion Helper App April 2025

• Built a fashion recommendation tool using Python to help users generate outfit suggestions based on weather, occasion, and personal style.

• Implemented key logic using object-oriented programming, file handling, and basic algorithms for user input processing.

• Applied data structures like dictionaries and lists for managing clothing inventory and combina- tions.

• Tech: Python, JSON, Tkinter, API integration, CSV Certifications & Achievements

AWS- Cloud Foundations, AWS Academy NOV 2021

AWS- Machine Learning, AWS Academy DEC 2021

CCNAv7- Introduction to Networks, Cisco Networking Academy DEC 2021



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