Car Damage Detection
→
Summary
Developed a deep learning model and web application for classifying car damage types from images.
About
Highly motivated Machine Learning Engineer with a strong foundation in deep learning, natural language processing, and data analysis. Proven ability to develop and deploy end-to-end ML models, including predictive systems and recommender engines, and build intuitive web applications. Eager to apply technical expertise and problem-solving skills to drive innovative solutions in a dynamic environment.
Work
Cognifyz Technologies
|Machine Learning Intern
Nagpur, Maharashtra, India
→
Summary
Developed and implemented machine learning models and recommender systems to analyze and predict restaurant data.
Highlights
Developed a machine learning model to predict restaurant ratings based on diverse features including cuisines, locations, and average prices, enhancing prediction accuracy.
Conducted comprehensive exploratory data analysis (EDA) on restaurant datasets, identifying key trends and patterns to inform strategic model development.
Implemented a content-based restaurant recommender system, improving user experience by providing personalized dining suggestions.
Education
PES Modern College Of Engineering
Pune, Maharashtra, India
→
Bachelor of Engineering
Engineering
Grade: CGPA 7.7
Sinhagad Spring Dale High School
Pune, Maharashtra, India
→
High School Diploma
High School
Grade: 92.6 Percent
Languages
English
Hindi
Marathi
Skills
Programming Languages
Python, C++, SQL, MySQL, HTML, CSS.
Frameworks
Flask, PyTorch, TensorFlow, Streamlit.
Developer Tools
Git, Docker.
Libraries
Pandas, NumPy, Matplotlib, Scikit-Learn, NLTK, Optuna, ResNet50, LSTM, Word2Vec.
Machine Learning
Deep Learning, Natural Language Processing (NLP), Recommender Systems, Transfer Learning, Hyperparameter Tuning, Time Series Forecasting, Data Preprocessing, Feature Engineering, Model Deployment.
Data Analysis
Exploratory Data Analysis, Data Visualization.
Projects
Movie Recommender System
→
Summary
Developed a content-based movie recommender system leveraging metadata from TMDB.
Resume Scanner
→
Summary
Developed a Flask web application for uploading resumes and matching them with job descriptions using NLP.
Amazon Stock Price Forecasting
→
Summary
Developed an LSTM-based deep learning model to forecast Amazon stock prices.