"I debug code like I debug life—with excessive amounts of coffee ☕ and the occasional existential crisis 🤯"
- 🏠 Currently based in India (where the traffic 🚗 is worse than merge conflicts 🔀)
- 🎯 Data Scientist with a passion for web apps 🌐 and ML magic ✨
- 🌱 Turning raw data into meaningful insights, one pandas 🐼 DataFrame at a time
- 💻 Building web applications that make complex data simple (and hopefully don't crash) 💥
- 🎨 Believer in beautiful code 💻 and even more beautiful visualizations 📊
- 🧠 Professional overthinker and amateur plant parent 🪴 (both coding and plants require patience)
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🤖 Machine Learning Engineering:
Creating models that actually work in production (most of the time) 📈
"Teaching machines to be smart so I can be lazy" 😴 -
📊 Data Analytics:
Finding patterns in chaos 🌪️ and convincing stakeholders they matter 💼
"Making numbers tell stories ...." 📺 -
🌐 Full-Stack Development:
From APIs to UIs—making data science accessible to humans "I speak fluent frontend and backend... mostly backend" 🗣️
🐍 Core Languages:
- Python (my partner in crimes)
- JavaScript (it's complicated ... but we make it work)
- R (weekend hobby 📅 and statistical therapy)
- SQL
🌐 Web Technologies:
- Django, Flask, FastAPI (the holy trinity ⛪)
- Vue.js, Angular (frontend wizardry 🪄)
- HTML/CSS (yes, I can center a div 🎯... usually)
- Node.js (JavaScript everywhere 🌍)
🧠 ML & Data:
- Pandas 🐼, NumPy 🔢, SciPy 🧪
- Keras, PyTorch (neural network whisperer 🗣️)
- Apache Spark ⚡ (for when pandas isn't enough)
- Scikit-learn 📚 (the Swiss Army knife 🔪)
☁️ Infrastructure:
- Docker 🐳, Kubernetes ⚓ (containerization station 📦)
- AWS ☁️, Azure 🌤️ (cloud nine vibes)
- Git 📝 (and the occasional
git push --force💪) - Linux 🐧 (penguin power!)
ML model predicting India's traffic patterns 📍
Spoiler: It's always bad 😅
"Predicting traffic with 99% accuracy: it's jammed" 🚗💨
Tech Stack: Python 🐍, TensorFlow 🧠, Real-time APIs 📡
Recommendation engine for local restaurants 🍽️
Currently has better taste than me 👨🍳
"Teaching AI to have better food choices than my midnight cravings" 🌙🍔
Tech Stack: NLP 🗣️, Collaborative Filtering 🤝, Flask 🌶️
Web app that judges your spending habits (constructively, of course) 💸
"Like a financial advisor, but with more charts and less judgment" 📊😌
Tech Stack: React ⚛️, Chart.js 📈, MongoDB 🍃
👀
- I name my variables better than I name my plants 🌿 (both die eventually 💀)
- My ideal debugging session involves masala chai ☕ and complete silence 🤫
- I once explained neural networks using cricket analogies 🏏—it worked surprisingly well 🎯
- My code reviews are thorough but fair (like a good Indian aunty 👵)
- I have a PhD in Stack Overflow 📚 and a master's in "Why did this work yesterday?" 🤔
- My commit messages are poetry 📝... dark, mysterious poetry 🖤
- I can turn any conversation into a discussion about data structures 🗣️📊
Currently diving deep into:
- 🚀 MLOps and model deployment (DevOps but make it smart 🧠)
- 🕷️ Advanced web scraping techniques (ethical spider 🕸️)
- 👁️ Computer vision applications (teaching machines to see 👀)
- 📖 The art of writing documentation (still learning... forever learning 📝)
- 🧪 A/B testing methodologies (because guessing is not science 🔬)
- 📧 Email: Drop me a line or a suggestion 🧠💭
📝 Blog: [Technical adventures] (when I remember to write 📅 => Never)
"The best machine learning model is the one that solves the right problem." 🎯
"Code is like humor. When you have to explain it, it's bad." 😂
"There are only two kinds of languages: the ones people complain about and the ones nobody uses." 🗣️💻
- I speak fluent Python 🐍 but still struggle with small talk 🗣️
- My code is 80% comments, 20% actual code 📝 (mostly apologies to future me)
- I've googled "how to exit vim" more times than I care to admit 😅
- My rubber duck 🦆 has heard more confessions than a priest 🙏
- I measure productivity in cups of chai consumed ☕📊
- Stack Overflow is my therapist 🛋️💻
- 🥇 Survived the Great Dependency Hell of 2023
- 🏅 Successfully explained APIs using food delivery analogies 🍕
- 🎖️ Made a model that works in production (still celebrating 🎉)
- 🏆 Zero production bugs last Friday (it's Monday now 📅)
- 🎯 Can center a div without googling (sometimes)
If you've read this far, you probably understand the struggle of explaining why your model has 99% accuracy on training data but performs like a coin flip in production. 🪙🎯
Also, you deserve a cup of chai/coffee ☕ and a cookie 🍪
"More visitors than my actual website" ( Which I don't have )😄
This README is powered by excessive amounts of chai ☕, the occasional burst of inspiration ⚡, and a healthy dose of imposter syndrome 😅
"Remember: If it compiles, ship it. If it doesn't, blame the compiler." 🚀💻