Hello World . This Is My Profile.
- π Pursuing B.E. in Artificial Intelligence & Data Science (AIDS) @ SSMIET (Class of 2027)
- πΌ Focused and results-driven Data Analyst with practical project experience
- π Proficient in Power BI and Google Looker Studio for dynamic dashboards
- π§ Enthusiastic about ML, EDA, SQL, and real-world business analytics
- π§βπΌ Played an Event Coordinator role in my College National Symposium
- π Won Prize in Project Expo for an innovative analytics-based solution
| π Project | π Description |
|---|---|
| π¬ Movie Recommendation System | Built using collaborative filtering and content-based ML algorithms |
| πΊ Netflix Content Analysis | EDA on Netflix dataset using Pandas, Matplotlib, Seaborn |
| π Udemy Course Analysis | Insights on course trends, pricing, and ratings using Python |
| π½οΈ Zomato Data Analytics | Data cleaning & visualization of food delivery trends |
| π§ Email Spam Classifier (ML) | Built using Scikit-learn, NLP, and text preprocessing pipelines |
- Languages: Python, SQL
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, SciPy, Scikit-learn
- Tools: Power BI, Google Looker Studio, Excel, Jupyter Notebook, Git, Canva
- Specialties: Data Cleaning, Visualization, Dashboard Design, Coordination, Predictive Modeling
- π Project Expo Prize Winner at SSMIET
- π¨βπΌ National Symposium Coordinator (Organizing, Technical Support)
- π‘ Google Facilitator Program participant
- π Created impactful dashboards with Power BI & Looker Studio
- π± Built a 21K+ follower community on Instagram with engaging edits and insights
π‘ "Code is like humor. When you have to explain it, itβs bad."
β Cory House