Data Enthusiast | Code Conjurer | MIS Mage
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👨💻 I'm not your average data wrangler – I’m a data sorcerer in training, brewing powerful insights from bits and bytes. Currently leveling up as an MIS Mage at UIC, where I fuse machine learning spells with analytics incantations to create real-world magic. Armed with a B.Tech in Electronics and Communication Engineering, I’m on a quest to become a Quantitative Analyst and conquer the markets of data-driven chaos!
🧪 Languages I use to whisper to computers and bend them to my will:
Python, JavaScript, SQL, R, and Java (because why not have some backup magic?)
🛠️ Tools I wield like Gandalf wields a staff:
- Pandas, NumPy – for science-y shenanigans 🧙♂️
- Tableau, Spark, Hadoop – my crystal balls for peeking into big data
- Azure, AWS, GCP – where I cast my cloud-based spells ☁️🔮
🎯 Every commit is a battle won, and every project is an adventure completed! Check out my quest log below:
🏅 IEEE Spellbook: Published "Heart Rate Variability and Machine Learning for Stress Analysis" in December 2022.
🧙♂️ Achieved 85% prediction accuracy – because no sorcerer likes a weak spellbook!
🔍 Want to see how I tinker with data, visualize wizard-level insights, and craft magic dashboards? My GitHub repos are the Hogwarts library you’ve been looking for!
🤝 Whether you’re planning an analytics expedition or just want to nerd out over data science memes, I’m game! Hit me up for collabs or discussions.