---
title: "Vedang Bhardwaj - Founding Senior Data Scientist in Bengaluru | Tal"
description: "Meet Vedang Bhardwaj, Lead Data Scientist @Alaan | KaggleX Mentor | Ex- Nirvana Insurance, Khatabook, NPCI | Microsoft Azure Machine Learning Scholar | SUSE Cloud Native Scholar based in Bengaluru. AI stack includes claude code, cursor, and hugging face."
image: "https://tal.club/meet/vedang-bhardwaj/share-image"
---

# Vedang Bhardwaj on Tal

## Headline

Lead Data Scientist @Alaan \| KaggleX Mentor \| Ex\- Nirvana Insurance, Khatabook, NPCI \| Microsoft Azure Machine Learning Scholar \| SUSE Cloud Native Scholar

## About

As the Founding Senior Data Scientist at Alaan الآن, I contribute to the development of data\-driven solutions, leveraging machine learning and analytics to address complex business challenges\. Previously at Nirvana Insurance, I spearheaded impactful projects, including the TRS v4\.0 Accident Frequency Model and a Knowledge Graph\-Based Model Orchestration Framework, achieving measurable improvements in key metrics such as loss ratios and premium increases\. With a B\.Tech in Computer Science from SRM University and expertise in data science, machine learning, and Python, I am committed to designing innovative solutions that drive measurable outcomes\. My experience in automation, advanced modeling, and fostering diversity aligns with my goal to empower organizations through technology and data\-driven decision\-making

## Location

Bengaluru

## AI stack

claude code

cursor

hugging face

langchain

n8n

openclaw

## Work experience

Founding Senior Data Scientist at Alaan الآن, Mar 2026 \- Present · 6 mos, Bengaluru, Karnataka, India

Senior Data Scientist I at Nirvana Insurance, Aug 2025 \- Mar 2026 · 8 mos, Bangalore Urban, Karnataka, India

Data Scientist II at Nirvana Insurance, Jan 2024 \- Aug 2025 · 1 yr 8 mos, Bengaluru, Karnataka, India, \- Spearheaded and developed TRS v4\.0 Accident Frequency Model: Designed and implemented a high\-performance predictive model leveraging advanced telematics data \(10\-second samples\), geospatial, and operational features\. Developed sophisticated aggregation techniques for speed, distance, and utilization metrics, achieving a \+4\.18% loss ratio improvement and driving a $7\.14Mn net premium increase\. \- Designed and devloped Knowledge Graph\-Based Model Orchestration Framework: Architected a graph traversal\-based orchestration system to optimize model scoring and management\. Utilized connected component analysis for pre\-computed feature reuse across models and versions, employing object\-oriented instantiation at node and graph levels for enhanced modularity and scalability\. \- Developed Risk Checker Score \- Appetite Lite: Created an innovative, lightweight risk assessment solution for commercial vehicles, integrating FMCSA BASIC and LNI features with advanced scoring algorithms\. Orchestrated the flow using Metaflow, enabling cross\-functional consumption and improving agency submission quality and DOT risk stratification\. \- Built Fleet Insurance Cancellation Prediction Model: Developed a cutting\-edge predictive model using FMCSA datasets, integrating behavioral, temporal, and operational themes\. Engineered a feature\-rich dataset and implemented sophisticated statistical and machine learning techniques to achieve a 52% high risk cohort prediction accuracy within 25% of the overall population, enabling proactive risk mitigation\.

Data Scientist 2 at Khatabook, Oct 2023 \- Jan 2024 · 4 mos, Bengaluru, Karnataka, India, \- Spearheaded the design, development, and seamless deployment of Underwriting collections models tailored to DPD base 1 and DPD base 2\-10 segment utilizing advanced cohort analysis, feature engineering, and boosting algorithms\. \- Achieved a significant improvement in collection efficiency, resulting in a month\-over\-month increase of over INR 30 Lakhs, a 28% boost\. \- Orchestrated end\-to\-end automation of the model serving and deployment pipeline, integrating DBT, Airflow, and AWS S3\.

Mentor \- KaggleX BIPOC Mentorship Program at Kaggle, Jul 2023 \- Nov 2023 · 5 mos, Remote, \- Mentored Mentee in Machine Learning and Data Science: Guided through foundational and advanced concepts, hands\-on projects, and practical applications\. Provided personalized learning paths and regular feedback to enhance skills and knowledge\. Delivered Key Presentation on Credit Risk Modelling: \- Delivered keynote presentation on the "Importance of Choosing Correct Evaluation Metrics in Credit Risk Modelling\." Explained the significance of metrics like ROC\-AUC, Gini index, KS score, LGD and Credit Migration Matrices using case studies to illustrate best practices\. \-Promoted Diversity and Inclusion: Supported BIPOC representation in data science, fostering an inclusive learning environment\. Engaged the cohort through interactive sessions, enhancing overall understanding and application of concepts\.

Data Scientist 1 at Khatabook, Sep 2022 \- Sep 2023 · 1 yr 1 mo, Bengaluru, Karnataka, India, \- Co\-developed underwriting model for active platform users pertaining to MSME segment, utilising activity, bureau, ledger, parsed SMS data and profiling, resulting to 2\.5x better credit lines and 4x infra cost reduction\. \- Spearheading Khatabook's underwriting model \- serving and deployment front, established end to end model deployment pipeline and setup monitoring, observability and proactive data drift and anomaly alerting, leading to 3x faster RCA, on\-fly anomaly detection and 2x better model reconciliation\. \- Developed User risk segmentation model, and derived inferences pertaining to fraud risk associated across user segments\.

Associate Data Scientist at National Payments Corporation Of India \(NPCI\), Nov 2021 \- Sep 2022 · 11 mos, Hyderabad, Telangana, India, \- Spearheaded UPI P2M fraud detection model project, successfully developed and deployed highly tuned and calibrated on\-fly ML backed solution, accomplishing 64%\+ hit rate MOM and 1:20 FPR overall effectuating to save 3\.2 \~4 Mn INR on an avg monthly basis\. \- Successfully established ELK stack Analytics dept\. wide solution for near real time data searchability, model observability and alerting resulting in quick RCA and 3x faster analysis coupled with rich visualisation support\. \- Co\-led and developed Low Balance transaction decline prediction model with 96%\+ recall on daily avg basis, while maintaining 0\.10\~0\.14 Rs\. exposure per transaction ratio\. \- Delivered organization\-wide training sessions on advanced data visualisation topics utilising ELK stack and mentored cross\-functional teams to develop department specific dashboards and data alerts\.

Data Scientist at National Payments Corporation Of India \(NPCI\), Nov 2020 \- Nov 2021 · 1 yr 1 mo, Hyderabad, Telangana, India

## Education

Bachelor of Technology, Computer Science, SRM IST Chennai

Project Lead Developer \- HUII, Computer Technology/Computer Systems Technology, Harvard University

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

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/vedang-bhardwaj#person",
      "name": "Vedang Bhardwaj",
      "url": "https://tal.club/meet/vedang-bhardwaj",
      "image": "https://tal.club/meet/vedang-bhardwaj/profile-photo.jpg",
      "description": "Meet Vedang Bhardwaj, Lead Data Scientist @Alaan | KaggleX Mentor | Ex- Nirvana Insurance, Khatabook, NPCI | Microsoft Azure Machine Learning Scholar | SUSE Cloud Native Scholar based in Bengaluru. AI stack includes claude code, cursor, and hugging face.",
      "jobTitle": "Founding Senior Data Scientist",
      "worksFor": {
        "@type": "Organization",
        "name": "Alaan الآن"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "Founding Senior Data Scientist"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Bengaluru"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "SRM IST Chennai"
        },
        {
          "@type": "EducationalOrganization",
          "name": "Harvard University"
        }
      ],
      "knowsAbout": [
        "claude code",
        "cursor",
        "hugging face",
        "langchain",
        "n8n",
        "openclaw"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/vedang-bhardwaj#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/vedang-bhardwaj#webpage",
      "url": "https://tal.club/meet/vedang-bhardwaj",
      "name": "Vedang Bhardwaj on Tal",
      "description": "Meet Vedang Bhardwaj, Lead Data Scientist @Alaan | KaggleX Mentor | Ex- Nirvana Insurance, Khatabook, NPCI | Microsoft Azure Machine Learning Scholar | SUSE Cloud Native Scholar based in Bengaluru. AI stack includes claude code, cursor, and hugging face.",
      "dateModified": "2026-08-07T03:47:42.071Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/vedang-bhardwaj#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/vedang-bhardwaj/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/vedang-bhardwaj/profile-photo.jpg",
        "caption": "Vedang Bhardwaj profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```