ABOUT ME
The Explorer of AI & Ideas
I’m deeply passionate about Artificial Intelligence, with an ever-growing curiosity that fuels my journey through code, data, and design. I love turning complex ideas into something intuitive — whether through data visualizations, interactive dashboards, or clear data storytelling.
My mission? To explore, learn, build, and communicate insights that spark meaningful change. I'm always seeking new ways to expand my knowledge and bring my curiosity to life through hands-on projects.
Whether it's experimenting with new models, building user-facing tools, or visualizing insights with impact — I'm here for the full ride from concept to code to communication.
Beyond the Code – Life Outside the Terminal
When I’m not immersed in AI or coding, you’ll likely find me out exploring the world through flavors, sights, and stories.
- 🍜 Foodie by heart — always on a hunt for the next great bite.
- ✈️ Travelogger — capturing memories and moments from every corner I visit.
- 📚 Book lover — reading helps me reset, reflect, and stay inspired.
- 🎤 KTV warrior — because life needs rhythm, energy, and a little karaoke joy.
Journey with me on my past projects
MY Past Projects & Achievements
Customer Subscription Prediction for Term Deposit Marketing Optimization
Explored Multi-Layer Perceptron (MLP) models and deployed a user-friendly interface to help the Pima Indian community assess their diabetes risk efficiently and seamlessly.
Harnesses the power of data visualization to build both exploratory and explanatory dashboards, driving effective data communication and delivering actionable insights.
Improving data transparency by leveraging SHAP and LIME to explain model predictions and enhance interpretability.
Using sentiment analysis to improve customer service in the airline industry by analyzing reviews to uncover insights and enhance the customer experience.
Using predictive analytics to forecast market demand and enhance customer retention in the Iranian telecom sector.
Using unsupervised learning for customer segmentation in the UK retail sector.
Exploring linear regression and decision trees to identify the impact of individual characteristics on dental pre-surgery and treatment time.
Utilizing Python's Folium library for enhanced crime detection through interactive mapping and spatial analysis to analyze and communicate the Washington DC Metro Area crime rate.
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