Anshul P.

Data Scientist

https://www.opentalent.in/anshul-p

Curious.

Pune, MaharashtraMember since June 14, 2026

Key Strengths

Demonstrated proficiency in Python for data science and machine learning projects.
Experience with building AI-powered systems, including an XGBoost model for transaction classification and RAG for medical records.
Hands-on experience with neural networks from scratch (MLP for MNIST) and NLP concepts.
Familiarity with data analysis and visualization libraries (Pandas, Matplotlib, Seaborn).
Exposure to full-stack development (FastAPI + React) and various web technologies (TypeScript, JavaScript, CSS, HTML).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards AI and data science applications, aligning well with a Data Scientist role. The diversity of projects (finance, healthcare, agriculture) indicates adaptability and a broad interest in applying AI solutions across different domains. However, the projects are all personal, which might suggest a lack of experience in collaborative, production-level environments, potentially impacting cultural fit in a team setting. The absence of professional experience or education makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

MNIST_Neural_Network_from_Scratch

April 24, 2026 – Present

From-scratch implementation of a Multilayer Perceptron (MLP) in Python (NumPy) for MNIST classification, featuring manual forward/backpropagation, GD vs Adam comparison, and a simple Streamlit UI.

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breaking_enigma

April 18, 2026 – Present

Submission for Breaking Enigma Hackathon 2026.

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Natural_Language_Processing_Tutorial

April 7, 2026 – Present

A comprehensive collection of Jupyter notebooks covering NLP concepts from basics to advanced topics.

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Complete_EDA

April 7, 2026 – Present

A comprehensive collection of Jupyter notebooks covering Exploratory Data Analysis techniques using Python libraries like Pandas, Matplotlib, Seaborn, and Pandas Profiling.

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SAR_Platforms_for_banks

April 7, 2026 – Present

SAR Platform is an AI-powered system that automatically generates regulator-ready Suspicious Activity Reports (SARs) for banks. It uses an XGBoost model to classify transactions (GREEN/AMBER/RED) and routes high-risk cases through a 6-agent pipeline (Ingestion → Risk → Narrative → Compliance → Audit → Human Review), with full traceability in Neo4j.

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TriovaHealth_for_ChronicPatients

April 7, 2026 – Present

TRIOVA Health Platform is an AI-powered healthcare system for chronic patients that enables appointment booking with calendar integration, intelligent medical record querying (RAG), automated medication reminders from prescriptions, AI-based symptom triage, and a health dashboard with vitals tracking and insights.

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AgriAI_for_farmers

April 7, 2026 – Present

AI-powered smart farming system with specialized agents, live weather/market data, disease detection via Groq Vision, multilingual support, and an admin verification portal. Built with FastAPI + React.

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ACM--Triova-Health

April 2, 2026 – Present

ACM--Triova-Health — GitHub repository

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agri_ai

March 26, 2026 – Present

agri_ai — GitHub repository

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Sar-platform

March 22, 2026 – Present

Sar-platform — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python for data science and machine learning projects.
Experience with building AI-powered systems, including an XGBoost model for transaction classification and RAG for medical records.
Hands-on experience with neural networks from scratch (MLP for MNIST) and NLP concepts.
Familiarity with data analysis and visualization libraries (Pandas, Matplotlib, Seaborn).
Exposure to full-stack development (FastAPI + React) and various web technologies (TypeScript, JavaScript, CSS, HTML).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Anshul P.

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit