Gandharv Digambar Deshmukh
Mumbai, India
Email: **************@*****.*** Mobile: +91-724******* LinkedIn: linkedin.com/in/gandharv-deshmukh-50bb47319 Professional Summary
Machine Learning and Deep Learning focused fresher with strong hands-on experience in Python-based model training, hyperparameter tuning, and fine-tuning. Skilled in building and optimizing deep learning architectures including CNNs, RNNs, LSTMs, and GANs, along with practical NLP implementation. Experienced in deploying ML pipelines using FastAPI, Pydantic, Docker, and Streamlit, with working knowledge of SQL and Generative AI.
Technical Skills
Programming Python, SQL
Machine Learning Supervised, Unsupervised, Reinforcement Learning Deep Learning CNN, RNN, LSTM, GANs, Transformers
NLP Text Preprocessing, Tokenization, NLTK
Frameworks PyTorch, TensorFlow, Scikit-learn
Backend & Deployment FastAPI, Pydantic, Docker
Visualization & Apps Streamlit, Power BI
Concepts Hyperparameter Tuning, Fine-tuning, OOP
Education
MCA (AI/ML) – Chhatrapati Shivaji Maharaj University (CSMU) B.Sc IT – Mumbai University
Projects
Customer Churn Prediction (ML Pipeline): Built a complete machine learning pipeline involving data preprocessing, feature engineering, model selection, and hyperparameter tuning to predict customer churn. Deployed the solution using FastAPI and Pydantic with a Streamlit frontend for real-time predictions. Plant Disease Classification: Fine-tuned a MobileNetV2 deep learning model for plant disease classification, focusing on accuracy improvement and generalization. Containerized the application using Docker and deployed it as a Streamlit-based web application. IPL Data Analysis: Performed data cleaning, preprocessing, and exploratory data analysis on IPL datasets to extract meaningful insights. Designed interactive Power BI dashboards to visualize team performance, player statistics, and match trends. Certifications
Python Data Science SQL Power BI Machine Learning Deep Learning Generative AI — AI Adventures