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Anshuman

AI Analyst @ Impact Analytics | SAP Hackfest’25 Winner | Final Year CS @ MIT Manipal

Bengaluru

1+ year of work experience

Impact Analytics
Jan 20269 moPresent

Bengaluru, Karnataka, India

Working on data-driven and AI-powered decision systems to support large-scale business analytics, forecasting, and optimization. Involved in model development, data pipelines, and transforming business problems into deployable AI solutions.
YES BANK
May 20253 mosJul 2025

Mumbai, Maharashtra, India

• Led a team of interns in testing and quality assurance of enterprise platforms, documenting bugs, validating workflows, and collaborating with developers to resolve key issues. • Designed and enhanced SharePoint-based internal workflow systems and automated business processes using Power Automate, contributing to greater operational efficiency and reliability.
Alethe Consulting Pvt. Ltd.
Dec 20242 mosJan 2025

Gurugram, Haryana, India

• Developed a Corrosion Condition State Classification model using ResUnet with multihead attention, accurately segmenting image pixels into Severe corrosion, Bad, Fair, and Background categories. • Implemented unsupervised learning models to detect fraudulent bank transactions, enhancing anomaly detection capabilities.

Anshuman’s AI Stack

codex
codex
cursor
cursor
openai
openai
openclaw
openclaw
windsurf
windsurf

Education

Manipal institute of technology

Manipal institute of technology

20224 yrs2026
Open Minds A Birla School

High School Diploma

Open Minds A Birla School

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Headline

AI Analyst @ Impact Analytics | SAP Hackfest’25 Winner | Final Year CS @ MIT Manipal

About

I’m an AI Analyst at Impact Analytics, where I work at the intersection of machine learning, business intelligence, and real-world decision systems - helping transform raw data into deployable, high-impact AI solutions. I’m currently pursuing a B.Tech in Computer Science at Manipal Institute of Technology and have hands-on experience building end-to-end AI products, from research and modeling to full-stack deployment. My work spans: • Machine Learning & Deep Learning — NLP, Computer Vision, Transformers, ResUNet, anomaly detection • AI Product Engineering — turning models into usable platforms • Data & Analytics — extracting insights that drive business outcomes Some highlights: •Built SetuAI, an AI-powered compliance engine that reduced vendor onboarding time by 70%, with live government API checks, OCR, and risk scoring •Developed a corrosion classification system using ResUNet with multi-head attention •Researched the fractal structure of song lyrics using NLP and embeddings (BERT, Word2Vec, GPT) •Winner in SAP Hackfest 2025 Previously, I’ve worked with: •Yes Bank (Enterprise systems, automation, QA) •Alethe Labs (AI for fraud & vision) •MIT Manipal Research Labs (NLP & ML) I’m deeply interested in: AI systems that replace slow, manual processes and create measurable business impact. Portfolio → https://ansh0eman.netlify.app/

Location

Bengaluru

AI stack

codex

cursor

openai

openclaw

windsurf

Work experience

Data Scientist at Impact Analytics, Jan 2026 - Present · 9 mo, Bengaluru, Karnataka, India, Working on data-driven and AI-powered decision systems to support large-scale business analytics, forecasting, and optimization. Involved in model development, data pipelines, and transforming business problems into deployable AI solutions.

Software Engineering Intern at YES BANK, May 2025 - Jul 2025 · 3 mos, Mumbai, Maharashtra, India, • Led a team of interns in testing and quality assurance of enterprise platforms, documenting bugs, validating workflows, and collaborating with developers to resolve key issues. • Designed and enhanced SharePoint-based internal workflow systems and automated business processes using Power Automate, contributing to greater operational efficiency and reliability.

Machine Learning Engineer at Alethe Consulting Pvt. Ltd., Dec 2024 - Jan 2025 · 2 mos, Gurugram, Haryana, India, • Developed a Corrosion Condition State Classification model using ResUnet with multihead attention, accurately segmenting image pixels into Severe corrosion, Bad, Fair, and Background categories. • Implemented unsupervised learning models to detect fraudulent bank transactions, enhancing anomaly detection capabilities.

Education

Manipal institute of technology

High School Diploma, Open Minds A Birla School

Public links

github: https://github.com/ansh0eman

ansh0eman.in: https://ansh0eman.in/

Anshuman - Data Scientist in Bengaluru | Tal