💡 Turning Data into Decisions | 📊 Power BI & Tableau Wizard | 🤖 Machine Learning Enthusiast
🎓 Aspiring Data Scientist | 📍 MCA Student at Chandigarh University
🧠 Passionate about solving real-world challenges with Data & AI
💼 Skilled in building ML models, crafting insightful dashboards, and automating decision-making processes
“Data is the new oil, and I’m the one refining it.”
- 🔍 Turn raw data into actionable insights
- 📊 Design stunning dashboards in Power BI & Tableau
- 🤖 Build & deploy Machine Learning models using Python
- 🔁 Apply data storytelling to influence smart decisions
- ☁️ Explore deployment & MLOps workflows
- 💻 Languages: Python, SQL
- 📊 Data Viz: Power BI, Tableau, Matplotlib, Seaborn
- 🧪 ML & DS: scikit-learn, pandas, NumPy, XGBoost
- 🛠 Tools: Jupyter Notebook, Google Colab, Git, GitHub
- 🚀 Currently Exploring: Streamlit, Flask, ML APIs, MLOps
| Project Name | Description |
|---|---|
| 🧠 Customer Churn Prediction | Deep learning model using TensorFlow/Keras to predict telecom customer churn. Included data cleaning, feature engineering & evaluation. |
| 🍄 Mushroom Classifier (iNeuron) | Machine learning project to classify mushrooms as edible or poisonous using Logistic Regression, SVM, Decision Tree, etc. |
| 💳 Fraud Detection System | Detects fraudulent credit card transactions using ML algorithms. Focus on model accuracy, preprocessing & real-time detection. |
| 🎮 Maze Game | A procedurally generated maze game using Python and Pygame with Recursive Backtracking algorithm. |
| 🔐 Pass Master (Tkinter App) | Python GUI tool to generate strong passwords using random combinations of letters, numbers, and symbols. |
| 📈 Tips Data Visualizer | Python project exploring restaurant tipping behavior with Seaborn & Matplotlib (EDA + Visualization). |
➡️ More Live Soon — Stay Tuned!
- 💌 [email protected]
- 💻 GitHub
💬 Let’s collaborate on something cool in Data, AI, or Tech!
- 📷 Amateur landscape photographer
- ☕ Runs on code, curiosity, and chai
- 🎯 Believer in “Learn → Build → Share → Repeat”
🧠 I believe in learning by building – every line of code brings me closer to mastering Data Science.
🚧 I'm actively working on:
- ✨ Building mini ML projects using real-world datasets
- 📊 Creating visual dashboards with Power BI & Tableau
- 🛠️ Refactoring old code and cleaning my GitHub
💡 Upcoming Plans:
- 🔁 Daily commit streak challenge (7-day coding goal!)
- 🚀 Open-source contributions (soon!)
- 📦 Publishing beginner-friendly ML notebooks
⭐ “Follow me to watch a Data Scientist in the making!”