BUSAM JAHNAVI JYOTSNA

Java Developer | Machine Learning Engineer
Hosur, IN.

About

Highly motivated and results-driven Java Developer with a B.Tech in Computer Science and Engineering, specializing in Health Informatics. Bringing hands-on experience in developing robust web scraping tools and building scalable machine learning models. Eager to leverage strong programming skills in Java, Python, and the MERN stack, coupled with a solid understanding of data pipelines and deep learning, to contribute to innovative projects in a dynamic tech environment.

Work

Investing Channel
|

Java Developer

Remote, India, India

Summary

Currently developing and integrating Java-based web scraping tools for financial data extraction and processing, ensuring robust data validation and backend communication.

Highlights

Developed a Java-based web scraping tool using JSoup/Selenium to automatically extract stock tickers from portfolio and watchlist pages, enhancing data acquisition efficiency and accuracy.

Implemented robust exception handling and comprehensive page validation, ensuring smooth execution on non-portfolio pages and preventing data integrity issues.

Integrated backend communication by sending extracted ticker codes via HTTP requests to a REST API, facilitating further analysis and processing of financial data.

Education

Vellore Institute of Technology
Bhopal, MP, India

B.Tech

Computer Science and Engineering with Spec in Health Informatics

Grade: 8.55 CGPA

Nalanda International Public School
Hosur, TN, India

Class XII

High School

Grade: 88%

Sri Chaitanya Techno School
Hosur, TN, India

Class X

High School

Grade: 88%

Awards

Gold 5-Star in Problem Solving

Awarded By

HackerRank

Recognized for exceptional problem-solving abilities on the HackerRank platform.

Network Defense Badge

Awarded By

Cisco

Awarded for demonstrated proficiency in network defense strategies and cybersecurity principles.

Languages

English
Telugu
Tamil

Certificates

Python Essentials
IBM Cyber Security

Issued By

IBM

MERN Stack

Skills

Programming Languages

Java, Python, JavaScript, SQL.

Web Development

HTML, CSS, React, Node.js, Express.js, MERN Stack.

Machine Learning & Data Science

Keras, Tensorflow, Pandas, Numpy, YOLO, Machine Learning, Deep Learning, Data Preprocessing, Feature Engineering, Model Training, Model Evaluation, Scalable Pipelines.

Tools & Technologies

JSoup, Selenium, REST API, Web Scraping, Exception Handling, Data Validation, Full-stack Development.

Projects

Facial Emotion Detection and Recognition

Summary

Designed and developed a deep learning system using MERN stack to monitor student focus and detect suspicious behavior in online examination settings.

Machine Learning Model to Predict Water Quality Levels

Summary

Developed an end-to-end machine learning solution for predicting water quality, from data pipeline creation to model training and evaluation.