My experience as a data scientist at a large startup. Why is real-world A.I/M.L so different from academia? How do we appropriately integrate business and science/engineering? — Learning Phase One I worked as a data scientist at Swiggy for 1 year, a large Indian food delivery startup (around 20 million active users per month). Unlike other teams (such as recommendations, etc) where if the prediction is a bit off then the teams can quickly look into and push changes, I…

Introduction Professionally being in the field of Data Science for a year (Well, humans are natural data scientists) I have seen and examined a lot of different perceptions about the field. If we think of Data Science then we see that there is a certain hype around the positions available in…

Using data to determine a COVID state similarity matrix to estimate policy effects on similar states and “high risk” states — Data has always played an integral part in analyzing and proving hypotheses. With the advent of highly optimized and easy-to-use frameworks, data is collected almost every second. The world’s most valuable resource is no longer oil, but data (The Economist). …

Finding common ground: US Presidents State Analysis — Introduction We aim to find any correlation between a US President and its state concerning other Presidents. We use data from different sources to form a dataset that comprises different US presidents and their home states with additional facts about the state. We pull data from multiple sources and combine it…

Debate Analysis using Data Science: Using YouTube Comments to find the true intent of voters — Introduction I believe Data Science allows me to express my curiosity in ways I’d never imagine. The coolest thing in Data Science is that I see data not as numbers but as an opportunity (business problem), insights(predictive modeling, stats, and data wrangling), and improvement (metrics). …

Why is your Facebook Data so valuable? A method to predict humans traits (gender, political preference, age) through Facebook Likes. — As the election time is approaching we will see how and why our Facebook Data is so valuable to advertisers, politicians. Facebook is the world's largest social network platform with over 2.5 billion active users. It processes data at a scale never seen before, the highly sophisticated Facebook A.I …

SigNet (Detecting Signature Similarity using Machine Learning/Deep Learning): Is this the end of Human Forensic Analysis? — My grandfather was an expert in handwriting analysis. He spent all his life analyzing documents for the CBI (Central Bureau Of Investigation) and other organizations. His unique way of analyzing documents using a magnifying glass and different tools required huge amounts of time and patience to analyze a single document…

Quora Similar Questions: Detecting Text Similarity using Siamese networks. — Ever wondered how to calculate text similarity using Deep Learning? We aim to develop a model to detect text similarity between texts. We will be using the Quora Question Pairs Dataset. Requirements Python 3.8 Scikit-Learn TensorFlow Genism NLTK Dataset Let us first start by exploring the dataset. Our dataset consists of:

A supervised or semi-supervised ULMFit model to Twitter US Airlines Sentiment Dataset — Our task is to apply a supervised/semi-supervised technique like ULMFit (Ruder et al, 2018) to the Twitter US Airlines sentiment analysis data. …