Projects
In this machine learning project, I use Natural Language Processing (NLP) to analyze and classify customer reviews from Yelp. The goal is to accurately identify the sentiment of reviews,
categorizing them as positive, negative, or neutral, providing insights into customer opinions.
Recommender Engine
I use the recommender system for collaborative filtering, content-based filtering, and deep learning to analyze user behavior and preferences. This allows me to personalize suggestions,
enhance user experience, and increase engagement across various industries like entertainment services.
Customer Churn Prediction
The objective of this project is to build a predictive model to forecast customer churn for a telecommunications company based on customer demographics, account details, and service usage data.
The project aims to identify key factors influencing customer retention that can be used for data-driven business decisions.
Global Nutrition and Obesity Trends
In this project, I explore global nutrition and obesity data to uncover patterns, trends, and correlations through clustering techniques and data visualization. The goal is to provide a
comprehensive analysis that can inform health policy and interventions on a global scale.
Biomimetic Research is an integrative approach combining biology and engineering sciences to address complex technical challenges. By examining evolved biological structures,
biomimetics seeks to extract working principles of biological role models that inspire innovative technical solutions. This process relies on computational analysis and mathematical
descriptions of the role models to manage and interpret intricate biological data, transforming raw observations into technical solutions. Through rigorous data analysis, biomimetics
turns the complexity of natural systems into a framework for advancing technology.
In my ecological research, I study how marine organisms interact within their ecosystems, focusing on biotic interactions, spatial distribution patterns,
environmental factors, and habitat relationships. By combining field observations with experimental and analytical methods, I aim to understand how marine
organisms interact with their environments and how that affects biodiversity and ecosystem resilience.
In this Python project, I use a Raspberry Pi and RGB LED strip to create a sunrise effect, gradually transitioning in brightness from low to high while shifting from
dark orange (early sunrise) to full-spectrum daylight. Designed as a gentle wake-up experience, this project combines Python scripting and hardware to create a custom
ambient light simulation with a soothing, high-impact effect for the user.
