Get to know me better
I'm a dedicated Computer Science student specializing in Data Science, with a deep passion for transforming raw data into meaningful insights that drive decision-making.
My journey in technology spans across multiple domains including Machine Learning, Artificial Intelligence, and Full-Stack Development. I believe in the power of code to solve real-world problems and create positive impact.
When I'm not coding, you can find me exploring new technologies, contributing to open-source projects, or learning about the latest trends in AI and data science.
B.Tech in Computer Science Engineering with specialization in Data Science
Full-stack development with modern frameworks and technologies
Building intelligent systems and predictive models
Extracting insights from complex datasets
Technologies I work with
Some of my recent work
● Developed an IoT-based water quality monitoring simulation generating real-time pH, turbidity, and DO data.
● Applied ML models (Neural Networks, XGBoost, Random Forest, Ensemble Voting) for anomaly detection and classification.
● Implemented automated motor control based on predictive safety thresholds.
● Built a Flask dashboard for real-time visualization, alerts, and system logs.
Tech Used: Python, Flask, Scikit-learn, XGBoost, Pandas, NumPy, Machine Learning, IoT Simulation.
● Engineered a CPU scheduling algorithm using Shortest Remaining Time First (SRTF) based on DVFS to save power without sacrificing performance.
● Created an interactive simulation web application to visualize process execution, scheduling decisions, and metrics such as completion time, energy usage, and turnaround time.
● Architected adaptive logic to dynamically set frequency/voltage scaling depending on workload behavior, efficiently reducing thermal and energy overhead.
Tech Used: C Programming, DVFS Strategy, SRTF Scheduling, Energy Optimization, HTML/CSS/JavaScript UI, Real-Time Simulation Logic.
• Built a Python tool to generate QR codes from user-provided URLs using the qrcode library.
• Configured QR attributes such as error correction, box size, and custom color themes for
enhanced readability.
• Exported codes as high-quality .png images for seamless digital sharing and practical usage.
Professional certifications and achievements
Infosys Springboard — Foundation in formal languages, automata, finite state machines; strengthened analytical thinking and understanding of computation.
Infosys Springboard — Designed and prototyped AI-powered apps using no-code platforms; focused on generative AI workflows, automation tools, and rapid deployment of intelligent solutions.
Infosys Springboard — Focused on prompt engineering techniques, large language models (LLMs), and generative AI applications; improved prompt design and AI output optimization for practical automation and content generation.
Oracle University — Validates core AI and ML concepts in cloud environments, including data-driven models and AI services on OCI; demonstrates ability to apply AI fundamentals at scale.
NPTEL / IIT Madras (SWAYAM) — 12-week course covering network structures, graph theory, information diffusion, and social network analysis. Elite certification (60% consolidated) demonstrating ability to analyze complex networked systems.
Udemy (Dr. Angela Yu) — Full-stack web development covering HTML, CSS, JavaScript, Node.js, Express, databases, and modern development practices for building responsive, production-ready applications.
Automation Anywhere — Certified Essentials Automation Professional; validates RPA skills in building, deploying, and managing software bots, designing efficient automation workflows to improve productivity.
Let's work together
I'm always interested in hearing about new opportunities and exciting projects. Whether you have a question or just want to say hi, feel free to reach out!