
Ansh Maurya
@anshmaurya1
I build Python machine learning pipelines for fraud detection, NLP automation, and data-driven recommendations.
What I'm looking for
I've built Python-based machine learning solutions for fraud detection, NLP automation, and recommendation systems.
As a Project-Based Intern at Zetheta Algorithms Private Limited, I developed anomaly detection models and evaluated supervised and unsupervised approaches to identify irregular transaction patterns.
I also analyzed blockchain transaction data for on-chain Ponzi scheme detection, applying neural-network-based methods to flag suspicious activity.
My projects include a banking fraud detection pipeline using Logistic Regression and K-Means, plus PhytoMedAI, a bidirectional medicinal plant recommendation engine powered by NLP-based text processing and a proprietary dataset.
Experience
Work history, roles, and key accomplishments
Project-Based Intern
Zetheta Algorithms Private Limited
Nov 2025 - Apr 2026 (5 months)
Developed anomaly detection models using Python and unsupervised learning to identify irregular transaction patterns. Built and evaluated machine learning models for fraud detection, including classification and clustering approaches.
Education
Degrees, certifications, and relevant coursework
Madrid Software
Job-Ready Program in Data Science/Machine Learning, Data Science/Machine Learning
2025 -
Ongoing Job-Ready Program in Data Science/Machine Learning, started in November 2025.
GLA University
Bachelor of Technology, Computer Science
2021 - 2025
Bachelor of Technology in Computer Science from GLA University, completed in May 2025.
NPTEL Swayam
Design and Analysis of Algorithms, Algorithms
Completed the Design and Analysis of Algorithms certification from NPTEL Swayam.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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