Education

Arizona State University, Online (May 2019 - July 2021)

MS in Computer Science with ML Specialization.

PES Institue of Technology, Bengaluru (Aug. 2012 - May. 2016)

B.E in Information Science and Engineering.
Department Rank 7 - GOLD Medalist - ISE Branch with CGPA 9.44/10.

Work Experience

Walmart Labs, Bengaluru

Senior Data Scientist (Sep. 2020 - Present)
- Working in video analytics domain using traditional and latest computer vision techniques.
Data Scientist (Aug. 2018 - Aug. 2020)
- Text extraction from product images:STN-CNN-LSTM-Attention network trained on synthetically generated image data using Wal-mart product descriptions.
- Topic modelling & Sentiment Analysis on review text using CNN, Bi-LSTM networks and Transfer Learning techniques.
Statistical Analyst (Aug. 2016 - July. 2018)
- Attribute extraction from product descriptions & titles to fill the missing attributes in product catalog using a sequence to sequence models with word and character embeddings.
- Wal-bot: a framework was developed for building conversational chatbots.
Data Science Intern (Jan. 2016 - Jun. 2016)
- Worked on Face Recognition POC using Siamese Neural Network.
- Visualizing analytics-driven solutions using technologies like D3.js, NVD3 & Angular JS

IIT Ropar, Punjab

Research Intern (Jun. 2014 - Jul. 2016)

Crowd-sourced Annotation Tool was built from scratch which facilitates a group of users to annotate a given document while trying to understand its content.
Experiments were conducted using the built tool & the data collected from the experiments were analyzed and published in ASONAM conference.

Stride.ai, Bengaluru

Part-time Intern (Mar. 2015 - Apr. 2015)

Worked on Spell Correction algorithm using NLP techniques.

Publications & Posters

[Sep 2020] 2 of my works accepted in ECML PKDD Industry Track
Topic: Text Extraction from Product Images, Finding Data Scientist challenges in Machine Learning Platforms
[2018] Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit, published in Conference on Computational Natural Language Learning(CONLL), Belgium. Authors: Amrit Krishna, Bodhisattwa Majumder, Rajesh Shreedhar Bhat, Pawan Goyal.
[2015] Presence of an Ecosystem: a Catalyst in the Knowledge Building Process in Crowdsourced Annotation Environments, published in IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining(ASONAM), Paris. Authors: Anamika Chhabra, Sudarshan Iyengar, Poonam Saini, Rajesh Shreedhar Bhat

Invited Talks & Workshops conducted

[Dec 2020] Speaker at Seoul AI Summit
Topic:Conversational AI using transformer models
[Dec 2020] Speaker at ODSC India & APAC chapter
Topic:Text Extraction from Images using Deep learning tehcniques
[Nov 2020] Speaker at Data AI Summit, Europe chapter organised by Databricks
Topic:Detecting and Recognising highly arbitrary shaped texts from Product Images Github Link
[Oct 2020] Speaker at AI Summit Silicon Valley
Topic:Extracting text from Product Images
[August 2020] Speaker at Kaggle Days Delhi, Chapter
Topic: Self-supervised Visual Feature Learning with Deep Neural Networks Github Link
[Jun. 2020] Speaker at “Spark AI Summit” organized by Databricks, North America chapter
Topic: Text Extraction from Product Images using DL techniques Github Link
[May. 2020] Part of “Data Science Leadership series” organized by Aegis School of Data Science
Topic: Detecting the presence of Covid-19 from Chest X-rays using Conv Nets
[Apr. 2020] Speaker at “Ordinateur” event organized by IEEE Computer Society, GCET Gujarat
Topic: Building career in Data Science
[Nov. 2019] Speaker at Kaggle Days Meetup(Senior Track) #3, Bengaluru
Topic: Attention Models in NLP & Vision
[Nov. 2019] Speaker at Data Hack Summit, India’s Largest Applied Artificial Intelligence & Machine Learning Conference organized by Analytics Vidhya.
Topic: Image Captioning with Attention models
Github Link
[Oct. 2019] Speaker at Kaggle Days Meetup(Senior Track) #2, Bengaluru
Topic: Text extraction from Product Images
[Aug. 2019] Panelist at Kaggle Days Meetup(Senior Track) #1, Bengaluru
Topic: Kaggle Journey and Approaching Kaggle Competitions
[Jun. 2019] Conducted Deep Learning Workshop, part of faculty development program at IIIT Kancheepuram, Chennai.
[Mar. 2018] Conducted Deep Learning Workshop, @GE Healthcare, Bengaluru.

Patents

[US Patent, Walmart Ref.4909US01] - End to End Attribute Extraction from Product Images. Link
[US Patent, Walmart Ref.4210US01] - In-store targeted advertisement system. Link
[US Patent, Walmart Ref.5008US01] - Generating Customized Alerts with Computer Vision and Machine Learning.
[US Patent, Walmart Ref.5118US01] - System and Method For Automated Electronic Catalogue Management and Image Quality Assessment.
[US Patent, Walmart Ref.5258US01] - Systems and methods for detecting offensive text in images.

Blogs

Text Recognition with CRNN-CTC networks published at Weights and Biases.
Generate meaningful captions for images with Attention Models published at Weights and Biases.
Resources to start your journey in Data Science published at Towards Data Science.
Reducing the Carbon Foot Prints of CNNs at the cost of interactions-Depthwise & Pointwise Convolution published at Towards Data Science. Authors: Rajesh Shreedhar Bhat, Souradip Chakraborty
Why not Mean Squared Error(MSE) as a loss function for Logistic Regression? published at Towards Data Science. Authors: Rajesh Shreedhar Bhat, Souradip Chakraborty
First silver medal on Kaggle published at Towards Data Science.

Awards and Achievements

Walmart Maverick Award, for an associate who exhibits creativity at work and represents Walmart in well known forums as tech speaker.
Best Poster Award, for Extracting text from product images organized @Walmart Labs, Bengaluru.
Bronze Medal🥉, Humpback Whale Identification Challenge, Kaggle.
Silver Medal🥈, Quora Insincere Questions Classification challenge, Kaggle.
Spot Award, recognition for exceptional performance, dedication & positive attitude on the job @Walmart Labs.
Bronze Medal, Quick, Draw! Google Doodle Recognition challenge, Kaggle.
Top 1%, WNS Analytics Wizard challenge hosted on Analytics Vidhya.
Runner Up, Walmart Global Hackathon.
Silver Medal🥈, Toxic Comment classification challenge, Kaggle.
Silver Medal🥈, IEEE’s Signal Processing Society - Camera Model Identification, Kaggle.
Winner, Synehack 201.7 Synechrone.
Winner, GE Health-Hack - Video analytics theme GE Healthcare.
Summer Research Fellowship, offered by IAS, IISc, INSA through Summer Research Fellowship Program IIT Ropar.