Archishman Bandyopadhyay

AI Researcher

Gurugram, Haryana, India8 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in machine learning and NLP techniques.
Developed tools that significantly enhance efficiency.
Proven track record in AI-based project development.

Stackforce AI infers this person is a Data Scientist specializing in AI and machine learning solutions for Fintech and SaaS industries.

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Skills

Core Skills

Natural Language Processing (nlp)Machine LearningExplainable-ai

Other Skills

Artificial Intelligence (AI)Computer VisionData AnalysisData ScienceData StructuresDeep LearningFlask DeploymentImage ProcessingMicrosoft ExcelMicrosoft PowerPointPyTorchPython (Programming Language)SQL

About

As a Senior Data Scientist at Circle K, I specialize in applying machine learning, deep learning, and NLP techniques to deliver innovative solutions. With a strong background in data science and engineering from Birla Institute of Technology and Science, Pilani, I have contributed to impactful projects involving AI-based document parsing and regression model explainability modules. My expertise includes ML, NLP with a focus on building tools that enhance efficiency. Previously, I developed a custom annotation tool and automated workflows using clustering algorithms, significantly reducing manual efforts. My goal is to continue leveraging advanced technologies to address complex business challenges and drive impactful outcomes.

Experience

Circle k

2 roles

Senior Data Scientist

Promoted

May 2025 – Present · 10 mos · On-site

Data Scientist

Feb 2023 – May 2025 · 2 yrs 3 mos · On-site

Highradius

3 roles

Associate Software Engineer - I

Jun 2021 – Feb 2023 · 1 yr 8 mos

AI-Based generic document parser
Developed generic document parser using a NLP transformer based content classification model
and unsupervised algorithms..
Developed a pdf parser package which parsed text-based pdfs of any pdf format.
Custom Annotation Tool for NLP tasks
Developed a custom annotation tool from scratch which reduced the annotation time estimate
by a great factor.
AI Worklist Prioritization
Developed an automated collector worklist using Machine Learning Clustering Algorithm and
heuristics and reduced manual effort and time from collector’s end.
Regression Model Explainability Module
Developed a use-case agnostic Regression Model Explainability module using SHAP library that
is able to automatically generate simple customer (and value) specific prediction explainable
reports.

Natural Language Processing (NLP)Explainable-AIPython (Programming Language)Deep LearningMachine LearningPyTorch

Machine Learning Intern (Highako)

Jun 2020 – Jun 2021 · 1 yr

Payment Date Prediction-Implementation
Developed and Deployed regression based machine learning model [Random Forest / XGB /
LGBM] for FORTUNE 500 CPG companies to predict invoice payment date.

Python (Programming Language)Data AnalysisSQLMachine Learning

Summer Intern

Apr 2020 – Jun 2020 · 2 mos

AI-Enabled FinTech B2B Invoice Management Application
Developed a full-stack application integrated with a machine learning model which helps in
predicting the date of payment for invoices.

Python (Programming Language)SQLFlask DeploymentMachine Learning