My skills include performing data analysis and visualization in Python. I can derive and communicate insights from complex datasets using analytic tools and programming languages. I also work on making predictive models using supervised machine learning techniques, and have a strong foundation in mathematics and statistics.
I enjoy writing, which I do occasionally to share insights and communicate my data science projects to the world. You can take a look at some of my blog posts below, which tell data stories around the projects I have created.
I am currently working in the field of analytics, and most of my work is based on providing data insights to clients. I have worked on customer segmentation, building consumer personas, and data analysis/visualization projects at my workplace. Along the way, I have acquired new skills in using tools like AWS, and languages like Pyspark. A person who always strives for excellence, I go to every length to ensure that every project I work on is seen to the end.
I am also currently studying computer science and I major in data science. Every semester, I get a Dean’s list award for academic excellence.
I write for some of the top Medium publications, and have recently achieved the title of “Top Writer” in artificial intelligence. Apart from that, I also write data science and technical articles for a magazine led by a very creative and passionate team of young adults. Through my writing, I aim to open the black box of technology, and demystify the field of data science.
In this project, I collected data from multiple different sources to analyze gender disparity in Hollywood. The project was based on the Bechdel Test, a measure of female representation in Hollywood.
Skills demonstrated: Python, EDA, data collection, data wrangling, data visualization
Publication: Towards Data Science
In this project, I analyzed data that was used in the Framingham Heart Study, and visualized the risk factors of heart disease. Then, I built a machine learning pipeline with decision trees to predict the ten year risk
of Coronary Heart Disease.
Skills demonstrated: Python, ML algorithms, EDA, data visualization
Publication: The Startup
In this project, I used a dataset from Kaggle's data science in survey to visualize female representation in the tech sector.
Skills demonstrated: Python, EDA, data visualization
Publication: Better Programming
In this project, I built a web scraper in Python to collect data from an online course review site.
I then conducted some EDA on this data to find some of the best data science courses based on user reviews.
Skills demonstrated: Web Scraping, Python, EDA, data visualization
Publication: Data Driven Investor
In this project, I created a Fastai model for text classification using an MBTI personality prediction dataset.
I used these predictions to create a Harry Potter character classification model. Finally, I created a front-end interface for the model using Dash.
(Note: The Dash app might take a while to load because it was deployed directly from a remote server.)
Skills demonstrated: Python, Dash, deep learning
Publication: Towards Data Science
In this project, I built a movie recommender system that takes in user input and comes up with movie suggestions for you to watch.
I also created a movie dashboard using data from multiple sources, and you can find movie information such as reviews and release year.
Finally, I created a web-page with the project description, dashboard, and recommender system.
Skills demonstrated: Front-end design, Python, data collection, machine learning, data analysis, data visualization
Publication: Towards Data Science
In this tutorial, I used a beginner Kaggle dataset to explain data visualization in Python.
It is a step by step guide with explanation on good visualization practices, along with code demonstrations for
each concept explained.
Publication: Towards Data Science
In this tutorial, I explain the basics of data visualization in Tableau. I start with an explanation on how to install the software,
and take the reader through basic visualization techniques in Tableau.
I used the Kaggle Titanic dataset for this tutorial.
Publication: Data Driven Investor
Here, I explain how data scientists can create a portfolio website from scratch using languages such as HTML and CSS.
Publication: Towards Data Science
