ankit = {
"name" : "Ankit Thakur",
"role" : "Aspiring Data Scientist & Data Analyst",
"location" : "India 🇮🇳",
"languages" : ["Python", "SQL"],
"currently" : "Improving skills in Data Analytics, Python & Problem Solving",
"collaborating": "Data Analytics, Machine Learning & Python-based projects",
"learning" : ["Python", "SQL", "Statistics", "Excel", "Power BI", "Tableau"],
"ask_me_about": ["Python Basics", "SQL Queries", "Data Analytics Roadmap", "Beginner AI"],
"fun_fact" : "I enjoy solving problems & learning new tech to become a pro Data Analyst 🎯"
}- 🔭 Currently working on improving my skills in Data Analytics, Python, and Problem Solving
- 👯 Looking to collaborate on Data Analytics, Machine Learning, and Python-based projects
- 🤝 Seeking help with logical thinking, advanced Python, and real-world data analysis
- 📚 Currently learning Python · SQL · Statistics · Excel · Power BI · Tableau
- 💬 Ask me about Python basics, SQL queries, Data Analytics learning roadmap, and beginner-friendly AI concepts
- ⚡ Fun fact: I enjoy solving problems, learning new technologies, and continuously improving my skills to become a professional Data Analyst
| 🗂️ Project | 📝 Description | 🛠️ Tech Stack |
|---|---|---|
| 🏥 Explainable AI for Healthcare | AI-powered healthcare user interface with explainability features for transparent medical decision support | Python · XAI · ML |
| 🎭 Face Emotion Recognition | ML-powered facial emotion detection — classifies happiness, sadness, anger & more using facial landmark feature extraction | Python · OpenCV · ML |
| 🤖 AI Virtual Assistant | An AI virtual assistant built with Python using NLP and ML to provide personalized assistance and perform tasks | Python · NLP · ML |
| 🏠 House Price Prediction | Advanced ML models for accurately estimating house prices — includes data preprocessing, feature engineering & regression | Python · Scikit-learn · Jupyter |
| 💳 Credit Card Fraud Detection | ML-based system to detect fraudulent credit card transactions using classification algorithms | Python · Scikit-learn · Jupyter |
| 🚢 Titanic Survival Prediction | Predicting passenger survival on the Titanic using ML classification and feature analysis | Python · Scikit-learn · Jupyter |
| 💰 Billionaires Analysis | Exploratory data analysis on global billionaires dataset using Python — uncovering wealth distribution insights | Python · Pandas · Matplotlib |
| 🍷 Wine Quality Prediction | Predicting wine quality scores using classification algorithms and feature analysis | Python · Scikit-learn · Jupyter |
| 🌸 Iris Flowers Classification | Classic ML classification project on the Iris dataset with multiple algorithms compared | Python · Scikit-learn · Jupyter |
| ✍️ Handwritten Digit Recognition | Deep learning model to recognize handwritten digits using neural networks | Python · TensorFlow/Keras · Jupyter |
| 🖐️ Gesture Screen Brightness Control | Control screen brightness using hand gestures detected via computer vision | Python · OpenCV · Jupyter |
| 🧮 Calculator Application | A fully functional calculator application with a clean UI | Java |
| ⏰ Alarm Clock | A feature-rich alarm clock application built with Java | Java |
📍 Current Focus
├── 🐍 Python — Advanced concepts, OOP, Data Structures
├── 🗄️ SQL — Complex queries, Optimization, Window Functions
├── 📊 Statistics — Probability, Hypothesis Testing, Distributions
├── 📉 Power BI & Tableau — Dashboard Design, DAX, Visual Analytics
└── 🤖 Machine Learning — Supervised/Unsupervised, Model Tuning
🎯 Next Goals
├── 🧠 Deep Learning — CNNs, RNNs, Transformers
├── ☁️ Cloud Platforms — AWS / Azure for Data
└── 📦 MLOps — Model Deployment & Monitoring
"Part of what makes programming difficult is most of the time we're doing stuff we've never done before." — Douglas Crockford
If you're a recruiter, collaborator, or fellow data enthusiast — I'd love to connect!
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