---
title: "P Samson Silvester - Data & Operations Analyst in Bengaluru | Tal"
description: "Meet P Samson Silvester, Data Scientist | AI/ML Engineer | LLMs • RAG • Fraud Detection • Demand Forecasting • MLOps | 94% Precision • 99.5% Uptime | M.Sc. AI & ML (3.9/4.0) based in Bengaluru. AI stack includes hugging face, langchain, and ollama."
image: "https://tal.club/meet/p-samson/share-image"
---

# P Samson Silvester on Tal

## Headline

Data Scientist \| AI/ML Engineer \| LLMs • RAG • Fraud Detection • Demand Forecasting • MLOps \| 94% Precision • 99\.5% Uptime \| M\.Sc\. AI & ML \(3\.9/4\.0\)

## About

I build systems that turn noisy, high\-volume data into measurable operational outcomes\. Not models in notebooks — production systems engineered to survive real\-world data, scale under load, and deliver results a business can act on\. What I've shipped: 🔹 Fraud Detection → 94% precision · 89% recall · 58% fewer false positives · 500K\+ txns/day at <100ms · 99\.5% uptime 🔹 RAG & LLM System → 87% retrieval accuracy · 99\.2% response quality · 40% faster resolution · \~150 FTE hrs/week saved 🔹 Demand Forecasting → 91% accuracy \(MAPE 9%\) · 42% fewer stockouts · 28% less inventory cost · 1,000\+ SKUs 🔹 A/B Experimentation Engine → 290,000\+ users · O'Brien\-Fleming monitoring · prevented a false deployment 🔹 Customer Segmentation → 250,000\+ customers · 24% retention lift · 31% lifetime value increase Each built end\-to\-end — feature engineering, model training, deployment, monitoring, rollback — with the same rigor I'd bring to any live enterprise environment\. What I bring: → Generative AI & RAG — LangChain, LlamaIndex, Pinecone, Agentic AI workflows → MLOps & Infra — Kubernetes, Docker, MLflow, Airflow, CI/CD, AWS EC2 → Stats & Experimentation — A/B Testing, Bayesian Inference, Causal Inference → Languages — Python, SQL, PySpark, TensorFlow, PyTorch, XGBoost M\.Sc\. Computer Science — AI & Machine Learning · GPA 3\.9/4\.0 I'm actively looking for Data Scientist, ML Engineer, and Applied Scientist roles where I own the full pipeline — from raw data to production model to measurable business outcome\. If that's the problem your team is hiring for, let's talk\. 📩 samsonsilvester07@gmail\.com · 🔗 github\.com/RedSamurai07

## Location

Bengaluru

## AI stack

hugging face

langchain

ollama

openai

## Work experience

Data & Operations Analyst at HP, Nov 2022 \- Feb 2024 · 1 yr 4 mos, Bengaluru, Drove data\-led operational improvements across a large\-scale enterprise support function — applying pattern recognition and structured analysis directly mirroring production ML workflows\. • Analyzed 100\+ monthly support cases using structured data tracking to identify recurring failure trends, cutting repeat escalations by 15% through targeted process interventions\. • Built a knowledge\-base system by mining historical case data, reducing average handling time by \~20% and enabling faster, consistent triage across the team\. • Designed a closed\-loop customer feedback system from raw CSAT data, lifting satisfaction scores from 8\.5 to 9\.0/10 — later standardized across 3 team members\. • Onboarded onto the HP Poly headset line \(part of a $10B acquisition\) and delivered cross\-functional data integration within 60 days, maintaining a 95% quality benchmark throughout\. → Skills applied: data pattern recognition · KPI tracking · structured reporting · insight extraction

Data Annotation & NLP Specialist at Fiverr, Jul 2021 \- Nov 2022 · 1 yr 5 mos, Bengaluru, Delivered high\-accuracy NLP data annotation for AI training pipelines across 18 months — building the unstructured data processing instincts that directly inform my ML feature engineering work today\. • Processed and annotated large\-scale unstructured audio datasets at 97% accuracy, contributing directly to NLP and speech recognition model training pipelines for multiple clients\. • Engineered personal quality\-control and data validation frameworks that reduced revision requests by \~25% while maintaining 100% on\-time delivery across all 18 months\. • Extracted structured, usable information from domain\-specific noisy audio inputs — developing deep expertise in preprocessing unstructured data, a core skill in real\-world ML feature engineering\. • Managed end\-to\-end project delivery including scoping, QA, and client communication — building a reliable freelance track record that generated consistent repeat business\. → Skills applied: Data labelling · NLP preprocessing · quality assurance · unstructured data processing · audio data processing

## Education

Master of Computer Science, Specialization in Data Science, Machine learning & AI, Woolf

Bachelor of Engineering \- BE, Electronics & communication Engineering, Visvesvaraya Technological University

[View the original profile](https://tal.club/meet/p-samson)

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