🎓 Student Data Analyst | 📊 Passionate about data-driven solutions | 🧠 Lifelong Learner
I'm a detail-oriented data analyst with a strong foundation in data science and a BTech in Electronics and Communication Engineering. I recently interned at Masai, where I honed my skills in extracting actionable insights through technical and analytical methods.
I love turning raw data into powerful insights and creating engaging visual stories from numbers.
- Languages: Python, SQL
- Libraries/Frameworks: Pandas, Scikit-learn, Selenium
- Data Handling: Web Scraping, Data Modeling, Feature Engineering
- Visualization: Power BI, Streamlit, Advanced Excel
- Concepts: Machine Learning, Statistics, Scheduling Automation
Tech Stack: Python, Pandas, Scikit-learn, API, Streamlit, Scheduling
- Retrieved 85+ years of weather data using the Open-Meteo API.
- Trained Random Forest models for forecasting temperature, precipitation, and conditions up to 7 days.
- Built a Streamlit dashboard with real-time updates and automatic model retraining.
Tech Stack: Python, Pandas, MySQL, SQL, Power BI
- Cleaned and preprocessed Netflix data using Python in Jupyter.
- Stored refined data in MySQL and connected to Power BI for real-time dashboards.
- Visualized genre popularity, IMDb ratings, and content trends.
Tech Stack: Python, Pandas, Streamlit
- Analyzed crime trends from 2001–2013 across India.
- Built interactive dashboards with filtering and dynamic charting.
- Aimed at improving public understanding and transparency.
When I'm not analyzing data, I enjoy:
- 🎮 Playing video games
- 🏋️♂️ Exercising and staying active
“Data is the new oil – but insight is the spark.” 🔥