Deloitte

◦ Leading and Developing GenAI solutions in the Tax & Legal space
◦ Senior Data Scientist in the Data & AI team within Tax & Legal - Digital Innovation

Manager - Senior Data Scientist

Flipped.ai

◦ 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%.

Data Science Lead

Senior Data Scientist

◦ Joined the founding team (veterans from NYU and University of Cambridge) as a software engineer. Contributed significantly to the mission of empowering the next 3 billion mobile users, enabling seamless interaction, transactions, and monetization within local content and communities.

◦ Architected and implemented a robust backend infrastructure, comprising multiple microservices, to support the hyperlocal engagement platform's ambitious vision. This involved creating scalable solutions that ensured efficient connectivity to the last mile.

◦ Innovatively developed an edge-based content-ad engine, integrating Vickrey auction principles from game theory. This led to the incubation of the solution at Meta (Facebook) London Accelerator in '19.

Data Scientist

◦ Offered PPO (Pre Placement Offer) for great work and collaboration!

Data Science Intern

Parakrama

* A short stint in my entrepreneurial journey! *

Pioneered the conceptualization of Parakrama, a groundbreaking personalized geriatric care solution powered by AI. 

Led Parakrama to :
- Incubation at WEBEL Tech Incubation Centre.
- Secured a position in the top 10% of applicants at Y Combinator's S'21 cohort.
- Finalist at the Texas Healthcare Hackathon '21, with additional support for incubation.

Co-Founder

SRM University (Sri Ramaswamy Memorial University)

Supervisor : Prof. S. Dhanalakshmi
◦ Delved into cutting-edge research on Carotid Artery Abnormalities using Computational Intelligence.
◦ Implemented novel pre-processing techniques and benchmarked results, leveraging Capsule Network to enhance predictive accuracy and overcome translational variance.

Supervisor : Prof. A. Shanthini
◦ Collaborated in the Prognosis of Microaneurysm and early diagnosis system for non-proliferative diabetic retinopathy. 
◦ Applied Deep Convolutional Neural Networks, recommending optimal algorithms and models to achieve maximum validation accuracy within the given dataset.

Supervisor : Prof. P. Eswaran
◦ Engaged in research on Smart Water Irrigation for Industry 4.0. 
◦ Developed a microprocessor prototype managing MQTT communications and implemented an interactive web interface through Flask, contributing to the advancement of efficient and sustainable water management practices.

Skills : Python · Pandas · Numpy · skLearn · Tensorflow · CNN · MQTT Protocol · Arduino · ESP8266 · Flask · Firebase(FCM)

Undergraduate Research Assistant

Indian Institute of Technology, Kharagpur

Supervisors : Prof. Niloy Ganguly and Dr. Madhumita Mallick

◦ Investigated "Transient Anomaly Detection in Smart Homes" as a key contributor within the Complex Networks Research Group [CNeRG] at IIT Kharagpur.

◦ Applied expertise in data analytics by implementing the Apriori Algorithm and utilizing a fault injection method incorporating Weibull Distribution and a 2-state Markov Model. This approach correlated sensor data from Smart Devices to predict Transient Anomalies based on Activity of Daily Life (ADLs).

Research Intern

SkyBits Technologies Pvt. Ltd.

◦ 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.

Skills : Python · Pandas · Numpy · skLearn · Tensorflow · CNN · Django

Computer Vision Intern

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

◦ Explored innovative approaches to urban development by integrating Machine Learning, IoT, and AI technologies, providing valuable insights and strategic recommendations for the transformation of Bidhannagar and Rajarhat into Smart Cities.

Summer Intern

Arko is a Manager - Senior Data Scientist at Deloitte UK in the Data & AI team - Digital Innovation under Tax & Legal service line. 

He brings proven track record of over 6 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 led AI research and Product at flipped.ai, spin out of NYU that's revolutionizing talent intelligence capabilities through 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 :)

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