Artificial Intelligence Scientist at TCS Research and Innovation Labs
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TCS Research and Innovation Labs
Data Scientist
June 16, 2026 – Present
Secure_and_Private_AI_Federated_Learning
February 3, 2021 – February 22, 2021
Federated Learning is a privacy preserving and secure way of collaborative and distributed learning. Here, model training can be done by the contribution of data from multiple parties without actually sharing the data with each other. This is an interdisciplinary field which loans theory from cryptography and statistics to facilitate private artificial intelligence. This repo will contain my walkthrough of the Andrew Trask course of Secure and Private AI
View ProjectPytorch_learning
June 14, 2020 – July 3, 2020
I am bored with tensorflow. So, it was either this, or cleaning my room to pass time in lockdown. Not proud of it. Move along. Stay home, stay safe.
View ProjectReinf_Learning_Trading_Bot_training
June 8, 2020 – June 8, 2020
Reinf_Learning_Trading_Bot_training — GitHub repository
View ProjectTransferLearning-and-FineTuning-MobileNetV2-for-CatsAndDogs
February 24, 2020 – December 8, 2022
Using the tf.keras.applications to load an Imagenet trained 155 layer MobileNetV2 and then training the Cats and Dogs dataset via Transfer Learning. Further accuracy is improved using Fine Tuning the last 50 layers.
View ProjectPole-Balancing-Agent-Reinforcement-Learning
February 18, 2020 – February 18, 2020
Teaching an agent to balance a pole on a cart using Policy Gradient Reinforcement Learning with Tensorflow and OpenAI-gym
View ProjectBidirectionalLSTM_TwitterNamedEntityRecognition
September 6, 2019 – September 10, 2019
Make LSTMs Great Again: In this age of transformers, lets go back to Bidirectional LSTM to do a very basic Sequence Tagging Task in NLP: Named Entity Recognition (NER) on Twitter data.
View ProjectStackOverFlowTagsPrediction
August 26, 2019 – August 26, 2019
Given a stackoverflow post, predict its tags. Project in Natural Language Processing and Multilabel Classification.
View ProjectNaturalLanguageProcessingTrials
August 22, 2019 – August 22, 2019
Systematic Numbered files to learn concepts in NLP. Following the coursera course of Natural Language Processing
View ProjectTelecomChurnPrediction
November 13, 2018 – November 13, 2018
Business Data Analytics, MTech Artificial Intelligence Project done by Delton Myalil and Garima Jain. This is a Machine Learning, binary classification problem complete with both predictive and descriptive analytics of the data.
View ProjectCryptocurrencyAnalytics
October 23, 2018 – November 23, 2018
Cryptocurrency data analysis and prediction for short term investment. Data Science Project for MTech Artificial Intelligence course at University of Hyderabad.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a broad interest in diverse areas within AI/ML, from reinforcement learning and NLP to computer vision and secure AI. This diversity suggests an adaptable and curious individual who is likely to fit well into a culture that values continuous learning and exploration. The projects also show initiative in self-learning and applying theoretical concepts to practical problems. The current role as a Data Scientist at TCS Research and Innovation Labs aligns well with a target role of Data Scientist, indicating a clear career path and interest in the field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a self-driven individual with a strong inclination towards continuous learning and exploration of new technologies (e.g., 'I am bored with tensorflow. So, it was either this, or cleaning my room to pass time in lockdown. Not proud of it. Move along. Stay home, stay safe.' for Pytorch_learning, and 'Systematic Numbered files to learn concepts in NLP' for NaturalLanguageProcessingTrials). This suggests a proactive and curious mindset, which is beneficial for operational fit in a research or innovation-focused team. However, without specific psychometric test results, a detailed assessment of stress handling, logical reasoning, or team collaboration is not possible.