I am adata sciencestudent studying atNew York City College of Technologywhile also studyingweb developmentin my free time who is eager to tell stories from data.
I am a third-year student at New York City College of Technology, CUNY and majoring in data science and interned at 2 companies in backend development and data analysis roles. I also am part of the 8th cohort of CUNY Tech Prep as a fellow and also an ambassador for CTP. I am passionate about learning more about this world through different lenses especially through data.
My goal is to discover, analyze and harness — the power of 'data'. Data is undoubtedly the new gold of the era we live in.
When I am not in front of a screen, I’m most likely enjoying the local food and wonderful weather while reading or listening to music.
Data Structures
Object Oriented Programming in Java
Web Programming
Programming Fundamentals
Discrete Structures and Algorithms
Introduction to Artificial Intelligence
Machine Learning for Physics and Astronomy
Information and Data Management
Introduction to Data Science
Database Systems Fundamentals
Introduction to Linear Algebra
Probability and Mathematical Statistics
Languages:Python, SQL, HTML, CSS, JavaScript, TypeScript, Java, Sass, Bash, R
Libraries:Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, NLTK, Redux, SciPy
Frameworks:Streamlit, React, Bootstrap, Node, Mocha, Jest, Express
Tools:Git, GitHub, Jupyter Notebooks, Excel, Data Studio, Tableau, Figma
Created a web application/page to highlight projects and person brand with React, TypeScript, and Styled-Components
Trained and tested 4 supervised machine learning models to predict 4 features of galaxy from a spectra of the same galaxy: the total amount of mass in stars with a galaxy, the amount of cosmic dust in a galaxy, how long ago did the galaxy form its first stars, and the speed of the process of star formation
Constructed a web application that predicts the listing price for an Airbnb listing in New York City
Analyzed data about the vacancy rates of Airbnb listings in NYC over a period of time from December 21' to September 22' using python and its many libraries
Constructed a web application that predicts emotions within a piece of text using supervised machine learning model and natural language processing with an accuracy of 88%
Developed a web application that classifies images of natural scenes around the world using Random Forest Classifier with a with an accuracy of 53%
Created an interactive Reddit client application using HTML, CSS, JavaScript, and React.js to deepen understanding of React and the virtual DOM
Analyzed 2 datasets about species present across 4 national parks and find out more about the endangered species within the parks
Analyzed 2 datasets from NYC Open Data about the scoring of the math and english standardized test and create tools to summarize the data
Created an interactive website for a gym brand to illustrate and deepen HTML, CSS, and JavaScript skills, along with the concept of box models within CSS
Created a website for a fine dining restaurant to illustrate and deepen HTML and CSS knowledge, along with the concept of box models within CSS
Analyzed a dataset containing life expectancy and GDP of 6 countries across the world with different circumstances