Senior Data Scientist · Bangalore, India

William Scott Paka

Machine learning at scale, at Walmart

Senior Data Scientist with 8+ years of experience in natural language processing, machine learning, deep learning, recommendation engines and computer vision. M.Tech in Artificial Intelligence from IIIT Delhi. Published 5 papers and holds 5 patents building state-of-the-art models in NLP.

Portrait of William Scott Paka
Years of Experience
8+
Publications
5
Patents
5
01

Experience

  1. Walmart

    Oct 2024 – Present

    Senior Data Scientist

  2. PromptCloud Technologies

    Dec 2021 – Oct 2024

    Senior Data Scientist

  3. KaHa Technologies (Cove IoT)

    Aug 2021 – Dec 2021

    Senior Data Scientist

  4. TCS Research (TRDDC)

    Sep 2020 – Aug 2021

    Deep Learning & AI Researcher

  5. Covenant IT Solutions

    Mar 2016 – Jun 2018

    Data Scientist

Internships — Data Science

Leibniz University, Germany

Jan 2020 – Jun 2020

Developed ML models to predict dementia risk with sparse, high-dimensional data and designed an automata-based graph simulation model for COVID-19 spread analysis and forecasting.

UnitedHealth Group (Optum Global Services)

Apr 2019 – Aug 2019

Developed and deployed an end-to-end LDA-based model to automate detection of fraudulent medical discharge summaries, presented at LIC Delhi and currently in use by the NHA. Enhanced LDA for short texts by 5–8% through sentiment analysis.

02

Publications & Patents

  1. ENDEMIC: a semi-supervised co-attention network for early detection of COVID-19 fake news

    Achieved 97% accuracy in early detection of COVID-19 fake news.

    PAKDD 2021
  2. Cross-SEAN: a cross-stitch semi-supervised neural attention model for COVID-19 fake news detection

    Achieved 95% accuracy in COVID-19 fake news detection.

    Elsevier 2021
  3. Embedding-based joint-sentiment model for short text (Master's thesis)

    Average improvement of 10% in topic coherence and 5% in topic diversification.

    ICWSM 2021
  4. Blackmarket tweet detection

    Model classifying the source of tweets (blackmarket vs genuine), F1-score 0.89.

    ASONAM 2019
  5. Conference task on multi-modal data

    Conducted a conference task on multi-modal data (textual, visual & audio) with 50+ participants.

    SemEval-2020

Patents — 5 total

3 filed & 1 approved at Walmart, in collaboration with the team.

03

Skills

Programming

  • Python
  • Java
  • C
  • C++

ML / AI

  • NLP
  • Machine Learning
  • Deep Learning
  • GenAI
  • LLMs
  • Computer Vision
  • Recommendation Engines
  • MLOps
  • Time Series
  • Statistics
  • Data Analysis

Frameworks & Tools

  • PyTorch
  • TensorFlow
  • Keras
  • PySpark
  • Scikit-learn
  • NLTK
  • SpaCy
  • OpenCV
  • Seaborn / Matplotlib
  • Flask
  • MongoDB
  • SQL
  • Spark / Hadoop
  • AWS
  • Docker
  • Git
  • Jupyter

Core CS

  • OOPs
  • Data Structures & Algorithms
  • Problem Solving
04

Education & Certifications

Education

IIIT Delhi

M.Tech, Artificial Intelligence · Aug 2020

CGPA 8.45 / 10

Karunya University, Coimbatore

B.Tech, Computer Science and Engineering · Aug 2016

CGPA 8.2 / 10

Certifications

  • Machine LearningStanford University
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and OptimizationDeepLearning.AI
  • Neural Networks and Deep LearningDeepLearning.AI
  • Structuring Machine Learning ProjectsDeepLearning.AI
05

Achievements

Teaching Assistant, Machine Learning (PG), IIIT Delhi, 2019.

Ranked 14 in the hard-level HackerRank Machine Learning Challenge "Guess the Flipkart Query".

2nd prize, "King Coders" (2016) — coding event by the Computer Society of India.

2nd prize, COD++ (2015) — coding event at national-level technical symposium "Expertise 2k15".

Let's talk.

Open to conversations about machine learning, NLP research, and building recommendation systems at scale.