(May 2025 - Present)
Machine Learning Engineer
TAMIZHAN SKILLS
constcoder={name:'Vedant Jadhav',skills:['Python', 'Machine Learning', 'Java', 'Data Analysis', 'HTML', 'React', 'MongoDB', 'Scikit-learn', 'Artificial Intelligence '],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who I am?
I'm Vedant Jadhav, a dedicated Machine Learning Engineer with strong skills in Artificial Intelligence, a touch of Data Analysis, and hands-on experience in Front-End Web Development. I specialize in building intelligent systems that solve real-world problems using ML and AI techniques. I enjoy uncovering insights from data and presenting them through clean, responsive web interfaces. My core stack revolves around JavaScript, and I love creating interactive and accessible web applications. With a passion for continuous learning and innovation, I’m always exploring new tools and technologies to sharpen my craft. I'm open to opportunities where I can contribute as an ML Engineer, AI Developer, or Full-Stack Contributor, and work on impactful projects that blend intelligence, usability, and design.
Experiences
(May 2025 - June 2025)
Machine Learning Engineer
Edunet Foundation
(Jan 2018 - Present)
Self Employed
Code and build something in everyday.
Skills
PROJECTS
Crop and Fertilizer Recommendation System
constproject={name:'Crop and Fertilizer Recommendation System',tools: ['Python', 'Pandas', 'NumPy', 'Scikit-learn', 'Matplotlib', 'Seaborn', 'Flask', 'Selenium', 'BeautifulSoup', 'Streamlit', 'Heroku / Streamlit Cloud', 'Google Colab', 'Git', 'HTML', 'CSS],myRole:Machine Learning Engineer,Description: A machine learning-based web application that recommends suitable crops and fertilizers based on inputs like soil type, pH, temperature, humidity, and rainfall. The backend uses classification and regression models trained on agricultural datasets. It integrates a Selenium-powered Flask API to scrape real-time market prices from Agmarknet, supports region-wise prediction, and provides a responsive UI via Streamlit.,};Movie Recommender System
constproject={name:'Movie Recommender System',tools: ['Python', 'Pandas', 'Scikit-learn', 'Streamlit', 'TMDb API', 'Git LFS],myRole:Machine Learning Engineer / Frontend Developer,Description: Built a content-based movie recommendation engine using NLP, CountVectorizer, and cosine similarity. It allows users to get recommendations by tags, genres, cast, or production company. Posters are fetched using TMDb API, and the frontend is built using Streamlit. Heavy files are managed with Git LFS or dynamically loaded from external sources.,};Fake News Detection
constproject={name:'Fake News Detection',tools: ['Python', 'Scikit-learn', 'Pandas', 'NLTK', 'Streamlit', 'TF-IDF],myRole:Machine Learning Engineer,Description: A text classification app that detects whether a news article is fake or real using a Passive Aggressive Classifier and TF-IDF Vectorizer. The app is built with Streamlit and trained on Kaggle's fake and real news datasets. Includes preprocessing (stopwords removal, stemming) using NLTK.,};Loan Eligibility Predictor
constproject={name:'Loan Eligibility Predictor',tools: ['Python', 'Pandas', 'Scikit-learn', 'Streamlit', 'Matplotlib],myRole:Machine Learning Engineer,Description: A classification-based web app that predicts loan approval based on applicant details like income, education, credit history, and loan amount. Uses Logistic Regression and Random Forest models. UI built in Streamlit with real-time form input.,};Educations
2023 - Present
Bachelor Degree
Pimpri Chinchwad University,Pune
2021 - 2023
Higher Secondary Certificate
Dyanprasarak Mandal's College of Commerce and Science,Pune
2011 - 2021
Secondary School Certificate
Shanbhag Vidyalaya, Satara