Machine Learning Entry-Level

Sri Lekha Pusuluru

Java Full Stack Trainee

******************@*****.*** +91-798******* Vijayawada, India https://www.linkedin.com/in/sri-lekha-pusuluru https://github.com/Srilekha152 PROFILE

Fresher with a basic understanding of Python, Machine Learning and Deep Learing frameworks, looking for an internship at Oneture Technologies. Intrested in applying skills in data analysis, model building and NLP/ Computer vision, while learning from real-world AI projects and cloud platforms. Eager to improve my Knowledge, develop problem-solving abilities, and contribute to meaningful solutions in the field of Artifical Intelligence.

PROFESSIONAL EXPERIENCE

Java Full Stack Trainee

Codegnan IT Solutions

•Developed Java Web Applications using Core Java, Servlet, JSP, JDBC, MySQL, Hibernate, HTML5, CSS3 for dynamic content, database connectivity. 07/2025

Vijayawada, AP

•Enhanced front-end development by building websites and deployed it using GitHub for version Control and Vercel for hosting.

•Strengthened communication and team collaboration by facilitating discussions and ensuring alignment, improving efficiency and workflow. EDUCATION

B.Tech Artificial Intelligence and Data Science

Linagays Institute of Management and Technology

12/2022 – 03/2025

Vijayawada

SKILLS

•Programming Languages: Java, Python, R, Machine Learning, Deep Learning

•Libraries & Frameworks: Numpy, Pandas,Sciket-learn, Tensorflow, Keras, Pytorch

•Data Analysis: Data Cleaning, EDA, Data Visualization.

•Web Technologies: HTML5, CSS, JavaScript, Bootstarp, Node Js

•Database: MySQL

PROJECTS

AI Jarvis

Voice Based Desktop Assistant

•Designed a voice activated virtual assistant to automate desktop tasks and fetch real-time data

•Integrated 30+ commands including opening apps, playing music, sending mails and more.

•Implemented wake-word activation and AI CHatbot support using OpenAI API

•Built a user-friendly GUI using Tkinter to interact with the assiatant. House Price Prediction

Machine Learning Estimater

•Developed a machine learning model to predict house prices using Linear Regression.

•Performed data cleaning, feature engineering, and exploratory data analysis to identify key price factors.

•Achieved a high prediction accuracy by optimizing model performance through hyperparameter tuning.

•Visualized actual vs predicted prices to evaluate model accuracy using Matplotlib and seaborn. Facial Emotion Recognition

Facial Expression Detection System

•Developed a Facial Emotion Recognition system using Convolutional Neural Networks (CNN) to classify human emotions.

•Processed augmented facial image datasets to improve robustness and accuracy.

•Trained and evaluated the model using FER-2013 dataset achieving high classification accuracy.

•Visualized emotion predictions in real-time using OpenCV for webcam-based live emotion detection. Automatic Bug Triange System

Intelligent Bug Classification

•Designed a system to automatically detect and classify software bugs using Machine Learning techniques.

•Implemented text preprocessing (tokenization, TF-IDF) and applied ML algorithms for accurate bug categorization.

•Built a web- based interface for developers to upload bug reports and receive instant predictions.

•Enhanced efficiency by reducing manual bug triaging time and improving software quality CERTIFICATES

Python Full Stack Pantech E-

learning

AI-ML IIDT

Python Basics Hackerrank

Data Science L&T Software

Technologies

Cyber Security IIDT

NoSQL Database Basics edX

Java Basics Hackerrank

AWARDS

•Awarded Best Project Presentation for AI-based Jarvis Assistant in the Intra-college Technical Expo.

•Awarded Active Learner Certificate for continous learning and participation in technical webinars and workshops.

•Awarded in the Techno-Quiz Competition at college

Contact this candidate