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Mayukhmali Das - Generative AI Data Scientist

Greetings, I am Mayukhmali Das, a dedicated data scientist with a profound focus on Generative AI, presently contributing my expertise at IDFC FIRST Bank. My journey includes enriching experiences as a Data Science Intern at CMU and Jadavpur University, where I cultivated a passion for harnessing advanced technologies to tackle practical challenges and foster innovation.

About Me

  • Currently, I am immersed in the realm of GEN AI technologies at IDFC FIRST Bank, exploring the realms of OpenAI Whisper, AWS Transcribe, Azure Transcription Services, GPT 3.5, GPT 4, Mistral, and other avant-garde tools.
  • My learning journey is perpetual, continually delving into the latest advancements in AI and machine learning.
  • Reach out to me: LinkedIn

Experience

IDFC FIRST Bank

  • Associate Data Analyst - Generative AI

    • Feb 2024 - Present
    • Engaged in harnessing cutting-edge tools such as OpenAI Whisper, AWS Transcribe, Azure Transcription Services, GPT 3.5, GPT 4, Mistral, and other state-of-the-art GEN AI technologies.
  • Associate Data Analyst - Education Loan & Hyperpersonalization (HPE)

    • Jul 2023 - Jan 2024
    • Developed core deep learning and machine learning models for the Education Loan division. Ensured alignment of all DL ML models with organizational objectives by deeply understanding business requirements.

Research Journey Summary

  • Engaged in AI research from 2020-2023, exploring diverse domains: Monocular Depth Estimation, Multilingual Sentiment Analysis, Spiking Neural Networks, Event-based Vision, and Graph Neural Networks.
  • Published papers on depth estimation, event-based data clustering, and sensor data recovery using Graph Neural Networks.
  • Explored Brain Computer Interface applications, culminating in projects on efficient Electromagnet placement for trans-cranial surgery.
  • Demonstrated adaptability across computer vision, NLP, and neuromorphic architectures. Committed to advancing AI's interdisciplinary applications with a focus on innovation and optimization.

Get in Touch

Feel free to connect with me for inquiries, suggestions, or to establish professional connections!

LinkedIn Google Scholar

Mayukhmali Das's Projects

cellular-automata-and-verilog icon cellular-automata-and-verilog

Simulating various Cellular Automata designs on different topologies like Flat plane, Toroid, Morbius loop, Klein's bottle using Verilog.

chess icon chess

This GitHub project provides users with the ability to play chess directly from the readme file. It features a user-friendly interface and allows for online multiplayer gameplay

covid-19-fake-news icon covid-19-fake-news

This project simulates the spread of fake news on a social media site. Users can adjust consciousness and track how many ignore or forward messages.

fungal-pandemic-ant-optimization-fpao icon fungal-pandemic-ant-optimization-fpao

The Fungal Pandemic Ant Optimization (FPAO) algorithm is a metaheuristic method that uses artificial ants infected by cordyceps fungus to explore the search space and find optimal solutions. This algorithm is inspired by the behavior of the cordyceps fungus, which infects ants and manipulates their behavior to spread and infect more hosts.

lidar-based-rc-boat-abandoned-project-jadavpur-university icon lidar-based-rc-boat-abandoned-project-jadavpur-university

Lidar-based research under the supervision of Dr. P. Venkateswaran. This research project mainly focused on designing a autonomous boat that can do underwater mapping using a Lidar. Project scrapped due to lack of resources in College.

pied-piper-ai-emo-compression icon pied-piper-ai-emo-compression

Emotion based Audio Compression using Vosk and Hugging Face. Research shows compression reduces positive emotions and amplifies negative emotions.

pyaudiocensor icon pyaudiocensor

Automated Offline Censoring of Audio Files using Vosk and Python. Highly customizable overlay options including option to change base and overlay gain values.

rf-energy-harvesting-jadavpur-university icon rf-energy-harvesting-jadavpur-university

Works done on RF Energy Harvesting under the supervision of Professor Sudipta Chattopadhyay and guidance of Chandrima Thakur. Worked on various relaying protocols like TSR, PSR. Current works involve designing a modified state-of-the-art Solar-RF Harvesting System.

rule_30_solving_the_chaos icon rule_30_solving_the_chaos

This paper provides an analytical solution to the Wolfram Alpha Problem 1. In this paper we discuss whether the central column of the Rule 30 structure is purely random and aperiodic.

xlnet_multi-lingual_codes icon xlnet_multi-lingual_codes

This GitHub repository contains code for performing sentiment analysis on text data in multiple languages. Our code leverages the power of the XLNet model along with other deep learning methods to achieve high accuracy in sentiment classification.

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