About

I live in Nashik, Maharashtra. I'm currently a Data Scientist at Ernst & Young GDS. I have completed my master's in Artificial Intelligence from the Indian Institute of Science, Bangalore. My academic interest is in the field of machine learning and deep learning. I have worked on projects that apply deep learning to computer vision and natural language processing tasks. I'm proficient in Python, MATLAB, and C/C++. Besides academics, I'm a passionate sports fan. I'm learning Spanish these days (Estoy aprendiendo español estos días). I analyze, discuss, and write about football teams, players, and various tactics in my free time.

Interests

Machine Learning

Deep Learning

Computer Vision

Natural Language Processing

Data Science

Algorithms

Image Processing

Education

Indian Institute of Science, Bengaluru

M.Tech in Artificial Intelligence

October 2020 - July 2022
CGPA - 8.6/10

I have worked in the Lab for Imaging Sciences and Algorithms (LISA) on physics-informed neural networks (PINNs).

Relevant Coursework
  • Deep Learning
  • Machine Learning
  • Data Structures and Algorithms
  • Data Analytics

Visvesvaraya National Institute of Technology, Nagpur

B.Tech in Electronics and Communication Engineering

July 2015 - July 2020
CGPA - 8.31/10

My B.Tech final year project made me dive deep into the world of Artificial Intelligence and Deep Learning.

Relevant Coursework
  • Computer Vision

Experience

Ernst and Young GDS

August 2022 - Present

Data Scientist

Samsung Research and Development Institute India, Bengaluru

June 2021 - August 2021

Student Trainee

  • I interned with the IoT (Internet of Things) analytics team and worked on predictive maintenance of smart air conditioners (ACs).
  • I trained ML algorithms to predict errors caused due to coolant leakages using a dataset of smart AC’s sensor readings.
  • My task was to improve precision for the binary classification task thereby reducing instances of unnecessary maintenance checks.
  • The dataset which was an imbalanced one, contained features which were readings of various sensors inside the smart AC.
  • I applied different techniques to tackle data imbalance in the dataset and provided valuable insights to the team.

Publication

S. Mondal, "Implementation of Human Face and Spoofing Detection Using Deep Learning on Embedded Hardware," 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020, pp. 1-7.

Projects

  • All
  • DL - Computer Vision
  • DL - Natural Language Processing
  • DL - Others
  • Machine Learning
  • Others

Melanoma Image Augmentation and Classification

Graph Neural Networks for Recommendation Systems

Human Face Spoofing Detection

Reddit Flair Classification

Natural Language Inference using LSTMs

Solving Partial Differential Equations using Machine Learning

Stock Market Index Prediction

Fake News Classifier

Automatic Image Captioning

Football Data Analysis and Visualization

Music and Speech Classification

Duckworth Lewis Method Analysis

Premier League Data Analysis

Android News App

Skills

Languages

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Frameworks

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Tools and Softwares

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