Risk-X is a cloud-native streaming system for real-time transaction risk monitoring. It scores each incoming transaction for anomalies, detects concept drift in behavior patterns, and automatically adapts by recalibrating alert thresholds and resetting the anomaly model when drift is detected.
I led the development of a drone prototype featuring an innovative battery-swapping station designed to minimize downtime and enhance operational efficiency. This project focused on creating practical solutions for scalable drone applications through efficient hardware integration and programming.
The goal was to prototype “camera → server processing → robot moves based on camera” in a way that’s: repeatable (same command produces the same behavior), safe (single-step actions + stop default), demo-friendly (works in a loop, can ask the user at ambiguous turns).
This project focuses on predicting flight ticket prices based on multiple factors such as airline, date of journey, departure and arrival times, duration, number of stops, and route. Using Random Forest Regression, the model efficiently learns patterns from historical flight pricing data to provide accurate price estimates.
This project analyzes customer behavior in an e-commerce platform to predict yearly spending using linear regression. Key factors such as time spent on the app, time spent on the website, session length, and membership duration are examined to determine their impact on spending.
The goal of this project is to predict the type of drug a patient should be prescribed based on various medical attributes using a Decision Tree Classifier. The model is trained and evaluated on a dataset containing patient information such as age, sex, blood pressure levels, cholesterol levels, and sodium-to-potassium ratio.
The goal of this project is to analyze human pose and attention in real-time using computer vision techniques. By leveraging deep learning models, the system identifies key body joints and evaluates their significance in various activities, providing insights into user engagement and focus.
Earned the IBM Data Science Professional Certificate, gaining hands-on expertise in Data Science and Machine Learning. The program covered a comprehensive range of topics, including Python, SQL, Data Visualization, and Machine Learning. Through cloud-based labs and assignments, I applied data science tools and methodologies, culminating in a Capstone Project that showcased my ability to analyze data and build predictive models.
Earned the Python Core Certificate, demonstrating proficiency in Python programming fundamentals, including data structures, algorithms, and object-oriented programming. This certification highlights my ability to write efficient, well-structured Python code for various applications.
Earned a certification in Excel, showcasing expertise in data organization, analysis, and visualization using advanced Excel features such as formulas, pivot tables, and charts.
Completed a beginner-level course in Machine Learning offered by Sololearn, covering the fundamentals of supervised and unsupervised learning, data preprocessing, model training, and evaluation. This course helped me build a solid foundation in ML concepts and workflows, and sparked my interest in exploring real-world applications using Python and popular libraries.
Won the Idea Fest 2021, organized by Kerala Startup Mission, for our innovative project at Welkin Aves. Our prototype was recognized for its potential, earning us a grant of 50,000 INR to further develop and refine our solution.
Secured first place at Idea Fest 2022, hosted by Kerala Startup Mission, for our groundbreaking project at Welkin Aves. Our innovative prototype impressed the judges, earning a grant of 2,50,000 INR to advance its development and bring our vision closer to reality.
Achieved first place in the Skill Connect 2018 competition, organized by Network Systems, a company dedicated to training individuals in coding and software development. The competition was held across various engineering campuses in Kerala, showcasing my technical expertise and problem-solving abilities in a highly competitive environment.