Arko Chatterjee

Experience  |  Education

arkochatterjee@gmail.com


Arko is a Manager - Data Scientist at Deloitte UK in Data & AI Studio within Tax & Legal - Digital Innovation.

He brings proven track record of over 5 years in the tech industry, with a strong emphasis on Natural Language Processing (NLP) and expertise in Large Language Models (LLMs) and Generative AI .

He graduated Masters with Distinction in Data Science from Queen Mary University of London (QMUL) advised by Dr. Ignacio Castro.

Previously, he steered AI and Product at flipped.ai, spin out of NYU that's revolutionizing talent intelligence capabilities through LLMs x GenAI. Prior to that, he conceptualized and built Parakrama, a personalized geriatric care solution powered by AI, which was among the top 10% of applicants at Y Combinator Summer '21 and also interned at IIT Kharagpur and Hewlett Packard.

When he dosen't </>, he loves to go out for long drives and would give anything to have a quick nap :)




  London, UK

CV  /  LinkedIn  /  Github  /  Google Scholar

News
  • [March 2024] Commenced role at Deloitte UK as Data Scientist at their London offices.
  • [October 2023] Graduated MSc with Distinction in Big Data Science at Queen Mary University of London
  • [October 2021] Promoted to Data Science Lead at GAIUS Networks INC (Flipped.ai)
  • [September 2020] Demo Paper accepted at ACM Mobicom 2020 [link]
Achievements
Experience
Manager - Data Scientist
Deloitte [open]

London, UK

March 2024 - Present

◦ Developing GenAI solution and PoCs in the Tax & Legal space.
◦ Data Scientist in the Data & AI Studio within Tax & Legal - Digital Innovation.


Data Science Lead
Flipped.ai (GAIUS Networks INC) [open]

Cambridge, UK + India

Oct 2021 - Feb 2024

previously
Senior Data Scientist [Nov '20 - Oct '21]
Data Scientist [Dec '19 - Nov '20]

joined as an Intern since April '19 and was offered PPO (Pre Placement Offer)

◦ Leading the AI research team in the development of a state-of-the-art CV parsers and skills-based recommendation engines.
◦ Implemented cutting-edge techniques of NLP, to extract nuanced semantic and syntactic information from structured and unstructured data.
◦ Engineered and implemented NLP & LLM-backed hiring co-pilot, reducing manual efforts by xx%.
◦ Joined the founding team (academics from NYU and University of Cambridge) to empower the next 3 billion mobile users to interact, transact and monetize with local communities.
◦ GAIUS Networks was one of the participating startups for 12 week Facebook (Meta) London Accelerator Programme in 2019. [story on Meta Developers page]


Research Intern
Indian Institute of Technology Kharagpur[open]

Kharagpur, India

Summer 2018

Supervisors : Prof. Niloy Ganguly and Dr. Madhumita Mallick

◦ Researched on "Transient Anomaly Detection in Smart Homes" within the Complex Networks Research Group [CNeRG] at IIT Kharagpur.
◦ Implemented Apriori Algorithm and fault injection method using Weibull Distribution and 2 state Markov Model to correlate sensor data collected from Smart Devices in order to predict Transient Anomaly of the sensors based on ADLs (Activity of Daily Life).


Computer Vision Intern
SkyBits Technologies Pvt. Ltd. [open]

Kolkata, India

Winter 2017

◦ Developed a Mood Detection model using pre-trained VGG-16 architecture which detects 6 different type of moods utilizing FER-2013 repository and deployed the model through an interactive webapp using Django.


Summer Intern
Hewlett Packard

Kolkata, India

Summer 2017

◦ Researched and presented a white paper on ”Demystify the Proposal of a Smart City in Bidhannagar and Rajarhat using Machine Learning, IoT and AI”.


Education
Master of Science (MSc) - Big Data Science
School of Electronic Engineering and Computer Science (EECS)
Queen Mary University of London, London, UK [open]

September 2022 - September 2023

◦ Defended masters thesis "Unveiling the Applicability of Topic Modeling Metrics in Resume Analysis"
Supervisors : Prof. Ignacio Castro, Lecturer, EECS, QMUL

BTech - Electronics and Communication Engineering
SRM Institute of Science and Technology, India [open]

June 2016 - May 2020

◦ Defended undergradute thesis "Carotid Artery Abnormalities using Computational Intelligence"
Supervisors : Prof. S. Dhanalakshmi, Professor, Dept. of ECE, SRM-IST KTR

We will not only use the machines for their intelligence, we will also collaborate with them in ways that we cannot even imagine. ~ Fei-Fei Li
(Template inspired from : Jon Barron)