ABOUT
I started this site to show some of the work I have been doing. I have also authored articles about analytical concepts on Towards Data Science publication of Medium.com which you can access via the blog section. Stay tuned as I plan to add more content from the upcoming Deep Learning Conference in San Francisco, which I will be attending from Jan 24 - Jan 25, 2019!
Hi, I'm Atindra.
I am a Master's of Analytics student at the University of Texas at Austin, graduating in May'19. I have 4 years of experience working in the analytics consulting industry.
EXPERIENCE
ZS ASSOCIATES
Associate Consultant
Led analytics projects end to end to inform sales and marketing solutions for Fortune 500 pharmaceutical clients.
Jan 2017Â - June 2018
ZS ASSOCIATES
Business Analyst
Developed analytical and statistical tools to guide clients in data-driven decision making
Jan 2015 - Dec 2016
SYBERPLACE E SOLUTIONS
Principal Engineer Workflow
Coordinated with multiple stakeholders within the e-commerce firm to understand their requirements and implemented an Enterprise Resource Planning system to improve inventory management.
June 2014Â - Dec 2014
PROJECTS
Object Detection Using Google Open AI Images
Transfer-learned and trained a convolutional neural network, YOLO using Keras and Tensorflow to identify 43 new objects such as guitar, beer, train, bus, woman etc. within images with. Used ~300K images to train the network on Google Cloud Platform (GCP) using NVIDIA Tesla K80 GPU for ~ 10 hours
Property Recommendations for HomeAway's Customers
Scraped ~ 8000 customer reviews for HomeAway’s (vacation rental marketplace) properties in Austin using Selenium in Python and grouped the properties into 4 different categories using Latent Dirichlet Allocation (LDA) model. Recommended category specific properties using Cosine Similarity between customer reviews and property descriptions
Non-Profit Crowdfunding Recommendation System
Developed collaborative filtering algorithm using Singular Value Decomposition (SVD) and content-based recommendation system using TF-IDF scores to suggest new projects to existing donors on DonorsChoose.org ( a crowdfunding platform connecting benefactors to schools)
Blogs
In this blog, I have explained how to navigate through multiple pages of a website and scrape large amounts of data using Selenium package in Python.
Get in Touch
In this post, my team and I have explained how to transfer-learn and train an object detection convolutional neural network, YOLO (You Only Look Once) to detect objects such as cars, woman, train, beer, wheel, etc. in images