Manjunath V Poojari Profile

Manjunath V Poojari

Software Engineer | Data Science & AI/ML Enthusiast

About Me

Passionate and driven Software Engineer with a strong foundation in data structures and algorithms, coupled with a keen interest in Data Science, Artificial Intelligence, and Machine Learning. Eager to contribute to innovative projects and continuously learn new technologies. Committed to clean code and problem-solving.

Connect & Achieve

My Certifications

Data Visualisation: Empowering Business with Effective Insights

Data Visualisation: Empowering Business with Effective Insights

Issued by: Forage

Front-End Web Development Workshop

Front-End Web Development Workshop

Issued by: JNNCE & IEEE Mangalore Subsection

ANVESHANA-2k25 Coordination

ANVESHANA-2k25 Coordination

Issued by: JNNCE & IEEE Mangalore Subsection

Ctrl + Alt + Compete Hackathon

Ctrl + Alt + Compete Hackathon

Issued by: RV College of Engineering & IEEE

HackYugma State Level 24 hour Hackathon

HackYugma State Level 24 hour Hackathon

Issued by: IEEE Computer Society Student Chapter, JNNCE

AI for Students: Build Your Own Generative AI Model Workshop

AI for Students: Build Your Own Generative AI Model Workshop

Issued by: NxtWave

Skills

Java Python HTML CSS JavaScript Git React TensorFlow Scikit-learn Power BI Streamlit Pandas NumPy Cloud Computing AI and ML

Leadership & Achievements

IEEE Student Volunteer

Actively involved in organizing college technical events, including leading the "HireXperience" event during "Anveshana 2k25".

Frontend Web Development Workshop Conductor

Conducted a highly-rated workshop on Frontend Web Development.

Projects

Smart Waste Management System

Developed a machine learning-based system for waste classification. Utilized data cleaning techniques and compared XGBoost, Random Forest, and SVM algorithms to achieve optimal performance for smart waste management.

Machine Learning XGBoost Random Forest SVM Python Data Cleaning
View Project

Bangalore Flood Detection Dashboard

A hackathon project focused on detecting flood risks in Bangalore. Incorporated machine learning models, Folium for interactive mapping, and Streamlit for dashboard visualization to provide insights into flood-prone areas.

Machine Learning Folium Streamlit Python Data Visualization
View Project

Enterprise Website Auditor

Developed a web-health analyzer to audit enterprise websites. This project helps in identifying and reporting various issues to ensure optimal website performance and user experience.

Web Development HTML CSS JavaScript Web Scraping (implied)
View Project 1 View Project 2

YouTube Summary Generator

Built using Streamlit and Google API to extract and summarize YouTube video transcripts.

Streamlit Google API Natural Language Processing Python
View Project

Share Your Feedback