---
title: "Manas Kumar Jha - Senior Data Analyst, Product Owner in Bengaluru | Tal"
description: "Meet Manas Kumar Jha, Product & AI @ Signzy | AI PM | 0→1 & 1→10 Products | LLM Products, Prompt Engineering | PRD & Roadmap | FinTech based in Bengaluru. AI stack includes claude code, claude, and gemini. Explore public work links including github and medium."
image: "https://tal.club/meet/manas-kumar-jha/share-image"
---

# Manas Kumar Jha on Tal

## Headline

Product & AI @ Signzy \| AI PM \| 0→1 & 1→10 Products \| LLM Products, Prompt Engineering \| PRD & Roadmap \| FinTech

## About

I'm a technically grounded product professional with 2\+ years at Signzy, owning products end to end for enterprise clients, from problem definition and PRDs through cross\-functional execution and launch\. I own 8 product areas across identity verification, fraud detection, background verification, and compliance\. I built a unified background verification platform from scratch, led product definition for MuleShield \(a configurable fraud\-scoring product for bank onboarding\), and grew my pod's monthly revenue 200%\+ while scaling to 15M\+ API calls in production\. Lately I've moved deeper into AI product work, building LLM\-based extraction APIs that turn unstructured documents into structured data for enterprise clients\. I work hands\-on with prompt engineering, LLM integration, and API design\. Outside work I built PM Copilot, an AI tool using Google Gemini that turns a product problem into a structured PRD in under 30 seconds\. I use it to pressure\-test whether a problem is worth solving before building\. My strength is turning complex technical systems into product decisions that ship\. I go deep into SQL, Python, Elasticsearch, and LLMs to find the insight, then turn it into a roadmap call, a PRD, or a working prototype\. Stack: SQL, Python, Elasticsearch, AI/ML, LLMs, Prompt Engineering, Jira, Figma, Tableau\. I care most about building products where AI meets real enterprise problems\. Always open to connecting with people working on hard problems in that space\.

## Location

Bengaluru

## AI stack

claude code

claude

gemini

lovable

midjourney

openai

## Work experience

Senior Data Analyst, Product Owner at Signzy, Oct 2025 \- Present · 1 yr, 0→1 Product Ownership: Built and shipped MuleShield \(shell\-company and mule\-account detection\), Fraud Shield \(risk scoring for enterprise onboarding\), and eBGV \(unified background verification for white\-collar and blue\-collar checks\), all from scratch and live in production with enterprise banking clients\. 1→10 Platform Expansion: Scaled the risk intelligence platform from 3 core products to 40\+ APIs across legal compliance, digital identity, location intelligence, EPFO, phone & KYC, and cyber intelligence, covering the full customer onboarding lifecycle\. Revenue & Scale: Grew pod monthly revenue 200%\+ and scaled to 15M\+ API calls in production, owning roadmap and prioritization across the suite\. Product Judgment: For MuleShield, chose a configurable scoring engine over a fixed model after finding banks weigh risk signals differently by onboarding journey, letting each bank tune its own weightage without a custom rebuild\. Cross\-Functional Leadership: Led a team across Engineering, Sales, QA, and Design, writing PRDs, prioritizing backlogs, and negotiating trade\-offs to ship regulatory features on deadline\. AI Product Work: Contributing to LLM\-based extraction and face\-liveness APIs, doing prompt engineering and integrating AI models to turn unstructured documents into structured data for enterprise clients\.

Data Analyst at Signzy, Oct 2024 \- Sep 2025 · 1 yr, Performance: Built optimized SQL and Python solutions that cut data processing latency 30%, enabling real\-time fraud flagging for high\-volume merchant transactions\. Data Infrastructure: Used Elasticsearch to retrieve and analyze data across multiple product use cases, supporting faster, evidence\-based product decisions\. Product Insight: Ran deep\-dive investigations into user transaction patterns to surface emerging fraud trends, giving the product team the data behind roadmap pivots and system\-logic changes\. Client\-Facing: Represented the product team in enterprise banking client meetings, explaining product workflows and technical processes to drive adoption and resolve implementation queries\.

Data Analyst Intern at Signzy, Feb 2024 \- Sep 2024 · 8 mos, Product Discovery: Built analysis\-ready datasets and surfaced user and market trends that shaped early feature hypotheses and product direction\. Collaboration: Worked with cross\-functional teams to turn data findings into inputs for product development and feature prioritization\.

Data Science Intern at Tata Steel, Jun 2023 \- Jul 2023 · 2 mos, Jamshedpur, Jharkhand, India, 𝑽𝒊𝒅𝒆𝒐 𝑨𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔 𝑺𝒐𝒍𝒖𝒕𝒊𝒐𝒏 Developed and implemented a video\-based traffic violation detection system using OpenCV for image processing and EasyOCR for optical character recognition\. Designed an efficient pipeline to capture and process video frames in real\-time, accurately extracting and recognizing vehicle number plates\. The system utilized advanced image pre\-processing techniques, such as Gaussian blurring and edge detection, to enhance the accuracy of number plate detection, ensuring compliance with traffic regulations\. 𝑺𝒕𝒐𝒄𝒌 𝑷𝒓𝒊𝒄𝒆 𝑷𝒓𝒆𝒅𝒊𝒄𝒕𝒊𝒐𝒏 Designed and deployed a Long Short\-Term Memory \(LSTM\) model, a type of Recurrent Neural Network \(RNN\), to forecast the share prices of Tata Steel for the upcoming quarter\. The model was trained on historical time\-series data, leveraging features such as past prices, trading volume, and macroeconomic indicators\. Developed an interactive dashboard in Tableau, enabling users to visualize predictive analytics and assist in portfolio management and investment decision\-making strategies\.

Data Science Intern at The Sparks Foundation, Jun 2023 \- Jul 2023 · 2 mos, Remote, 𝑫𝒂𝒕𝒂 𝑽𝒊𝒔𝒖𝒂𝒍𝒊𝒛𝒂𝒕𝒊𝒐𝒏 𝑷𝒓𝒐𝒋𝒆𝒄𝒕𝒔 Successfully executed a range of data visualization projects with high precision, adeptly handling structured, semi\-structured, and unstructured data types\. Utilized advanced visualization tools such as Tableau, Power BI, and Matplotlib to create dynamic and interactive dashboards, facilitating intuitive understanding and exploration of complex datasets\. Implemented custom visualizations and employed data aggregation techniques to highlight key metrics and trends\. 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝒇𝒐𝒓 𝑫𝒂𝒕𝒂 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 Leveraged both supervised and unsupervised learning algorithms to extract actionable insights from data\. Implemented models such as decision trees, random forests, and support vector machines for classification and regression tasks\. Utilized clustering techniques like K\-means and hierarchical clustering for segmentation and pattern recognition\. Conducted feature engineering and selection, hyperparameter tuning, and model evaluation to optimize performance and achieve business objectives\.

## Education

Bachelor of Technology \- BTech, Computer Science, Manipal University Jaipur

dav schools network

## Public links

- github: https://github\.com/ManaskrJha
- medium: https://medium\.com/@manasjha1611

[View the original profile](https://tal.club/meet/manas-kumar-jha)

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