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r0hankrishnan/README.md

Hi 👋, I'm Rohan

I'm a recent graduate with majors in Economics and BIS, a minor in Applied Statistics, and a certificate in Business Analytics. I'm also a huge tennis nerd 🎾 🤓 and self-learner with a passion using data and analytics to drive positive change!

🔑 Key Skills:

  • Querying data using SQL
  • Manipulating, cleaning and analyzing data using R and/or Python
  • Developing, testing, and iterating through predictive and econometric statistical models using R and Python
  • Developing dashboards with Tableau, RShiny, or Streamlit
  • Analyzing data and generating reports using Excel and Google Sheets

📽 Projects:

This is just a highlight of my most recent completed project(s), check out my full portfolio to see all of my projects (completed and ongoing)!

✅ Newly Completed:

Project Link Technology Area Description Libraries
🚗 CarMax Analytics Python Programming & Dashboarding Data Cleaning, EDA, Predictive Modelling, Dimensionality Reduction Using CarMax trade-in data from the CarMax Analytics Case Competition, conducted data cleaning & feature engineering before using visualizations and hypothesis testing to extract business insights about the CarMax trade-in process. Also created a random forest model to predict a traded-in car's value and used PCA to reduce the dimensionality of the data. pandas, numpy, scipy, plotly, matplotlib, seaborn, jupyter notebooks, scikit-learn, streamlit

🔨 In The Works:

Project Link Technology Area Description Libraries
🔍 8-Week SQL Challenge SQL, PostgreSQL Self-Learning, Data Cleaning, Data Querying, Data Analysis This repository will contain analyses, notes, and solutions for the 8 case studies as I work through the 8-Week SQL Challenge from Data With Danny. It also contains notes from each chapter from the online book Select Star SQL DBFiddle

⚙️ Tools:

  • Languages:
    • SQL
    • Python [Pandas, Scikit-learn, Matplotlib, Numpy, Scipy, Seaborn, Streamlit, Plotly]
    • R [Tidyverse, Ggplot, Keras, Tidymodels, Felm, RShiny, Shinydashboard]
  • Databases: PostgreSQL, MySQL
  • Visualization: Tableau, R, Python

🤓 Current Learning Goals/Projects:

🗣 Connect with Me

Pinned Loading

  1. portfolio portfolio Public

    This is an overview of my portfolio projects with links to the more in-depth documentation.

  2. carmax carmax Public

    Jupyter Notebook

  3. nfl nfl Public

    Using self-gathered data, I will explore various methods of predicting what NFL teams will make the playoffs using python.

    Jupyter Notebook

  4. us_housing us_housing Public

    In this project, I reconstruct a US Housing data set, conduct EDA and data cleaning, and compute several models to examine the relationship between several predictors and HPI.

    R

  5. economic_indicators economic_indicators Public

    Using data from the St. Louis Federal Reserve (FRED) and the US Census Bureau, I create a Tableau Dashboard to visualize some key economic indicators as well as how they compare to the previous year.

    Python

  6. song_popularity song_popularity Public

    In this project, I explore a data set containing a list of songs with their genres, characteristics, and popularity scores. I then create several models to predict a song's popularity based on its …

    R