Applied machine learning projects with a clear bias toward practical outcomes.
This collection highlights the academic and experimental side of Gaurav’s profile: deep learning, NLP, classical machine learning, data pipelines, algorithms, and research-led problem solving.
While the homepage focuses on production engineering impact, this page shows the analytical range behind it, including the IEEE-recognized food image classification research.
The standout project in the portfolio
CNN Based Study of Improvised Food Image Classification
Capstone research project exploring food image classification through multiple deep learning architectures, strong augmentation strategy, and preprocessing improvements such as background removal with U2Net.
Recognized as Best Research Presentation at the 2023 IEEE Annual Computing and Communication Workshop.
It is a strong proof point that the profile is not only implementation-heavy but also research-capable and presentation-strong.
Representative work across learning tracks
Grouped by the type of problem each project tackled, making the portfolio easier to scan than a long chronological list.
Flower Species Classification and Sarcasm Detection
Combined transfer-learning based image classification with NLP experimentation for sarcasm detection, showing range across both vision and text tasks.
Signal Quality Prediction for Communication Equipment
Modeled signal quality with neural networks and a full workflow covering exploratory analysis, preprocessing, training, and evaluation.
Bank Loan Defaulter Prediction
Built a business-focused ML pipeline with feature selection, imbalance handling, and tuning workflows aimed at improving risk prediction quality.
Google Store App Rating Prediction
Explored supervised models and interpretable insights that could help app teams understand what drives stronger user ratings.
E-commerce Customer Segmentation
Used unsupervised techniques and PCA to group customers into actionable segments for marketing and retention analysis.
Telecom Customer Churn Prediction
Compared classical classification approaches for churn detection and translated model performance into customer retention strategy ideas.
E-commerce Reports with CQL
Designed Cassandra-oriented schemas and reporting queries for analytical exploration in a NoSQL context.
Travego Travelers SQL Project
Structured relational data and query logic around a travel use case, demonstrating practical SQL modeling and reporting skills.
City Routes, Power Grids, and Data Structures Exercises
Worked through graph traversal and linked-list based system modeling in Python, grounding the portfolio in core CS fundamentals as well as ML topics.
Production engineering impact lives on the main profile page.
If you want the professional story, platform work, leadership highlights, and current role at Oracle, the homepage ties those pieces together.