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Data Scientist | Photographer | Storyteller

Data for Change

A broad and deep analysis of illicit wildlife trafficking imports into the United States

Photo by NASA on Unsplash

This project was completed by Alex Hardy, Raya Abourjeily, and me, Ani Madurkar.

This story will discuss our project as a whole, including identifying the problem, qualifying assumptions, justifying methods, evaluating results, and more. …


Predicting the streams of Spotify’s Top 200 songs

Blade Runner 2020. Image by author

Introduction

This is the final part of my Applied Bayesian Inference series. In part 1, I introduced the conditional world and probabilistic programming:

In part 2, I showed how you can scale your models up to “real” data by modeling Nike and Adidas shoes. …


A comprehensive guide into how we program machines to learn from images

Journey to Spirit Island. Image by author

This will be a continuation from the introduction to AI, Machine Learning, and Deep Learning with Tensorflow story, where I discuss Standard Neural Networks. If this is all new for you, I recommend starting there first.

Table of Contents:

  1. Building a Digit Recognizer
  2. Evolving the Digit Recognizer
  3. What’s going on here?
  4. Building a…


This is amazing, I love sports analytics! I did my independent study on it, and have a story coming out on it soon :)

In the meantime, some of my friends in my Masters cohort did an amazing capstone project using Data Science & Machine Learning to analyze Baseball extensively. Check their blog and application out here: https://baseballml.com/


Solving the depth vs breadth debate by doing both

Photo by Alina Grubnyak on Unsplash

Depth Vs. Breadth

Breadth of learning refers to the full span of knowledge of a subject. Depth of learning refers to the extent to which specific topics are focused upon, amplified and explored.

It’s common for ambitious people who love learning to struggle with…


A starting point into Machine Learning and Tensorflow

Wildflowers in Montana. Image by author

This is the first part of a long series I hope to do on advanced Machine Learning. Tensorflow recently came out with 2.x and its integration with Keras makes it a really easy-to-use and functional language to learn. …


A case to be an artist before and after anything else

Chef’s Table on Netflix. Image by author

If you haven’t seen the Netflix Original Chef’s Table yet, I couldn’t recommend it enough. Every episode highlights a different iconic chef and walks you through their incredible story & mindset. …


Modeling Adidas’s Yeezy & Nike’s Off-White Resales on StockX

New York Times. Image by author

Introduction

If you’re coming here from part 1 then I’ll already assume you know at least the basics of Python & statistics. If not, starting at part 1 may be more comfortable for your own learning experience.

In part 1, I exhibited how you can use PyMC3 via Python to conduct…


The best hobby to have

Revolutions. Image by author

This will be an opinion piece so if you have thoughts/disagreements please comment!

If you’re even tangentially in the data careers space or are in a predominantly Data role, you know how hot the Data Scientist role has been. Ever since that one Harvard Business Review article (you know the…


Hands-on Tutorials

An Introduction to the Conditional World

Milky Way above Maui. Image by author

This story will be for those already a little familiar with statistics and Python and looking to take their skills to the next level. I’ll start with philosophies and then attempt to directly implement concepts in Python to build a more actionable guide for you. …

Ani Madurkar

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