Avtar Singh Panwar

Avtar Singh Panwar

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New Jersey, United States

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Résumé


Jobs verified_user 0% verified
  • Sardine
    Data Scientist
    Sardine
    Jul 2025 - Current (1 year 4 months)
    • Developed graph-based fraud detection models on real-time payment networks using PySpark and XGBoost, identifying mule
    networks and increasing fraud capture rate by 12% globally.
    • Engineered streaming feature pipelines using Kafka and Spark Structured Streaming, reducing fraud detection latency from 800ms to
    250ms across high-volume, real-time transaction processing systems.
    • Collaborated with compliance and risk stakeholders to optimize transaction monitoring thresholds, enabling scalable onboarding of
    financial institutions while ensuring regulatory compliance and minimizing false positive alerts.
    • Implemented continuous model monitoring and automated retraining pipelines using MLflow and Airflow, mainta
  • HCL TECH
    Data Scientist
    HCL TECH
    Jun 2021 - Dec 2023 (2 years 7 months)
    • Designed gradient boosting fraud models on card and wallet transactions, increasing detection precision by 13% while keeping false
    alerts controlled during peak transaction spikes.
    • Built probability of default and loss given default models using transactional and behavioral signals, improving risk differentiation
    accuracy by 9% across unsecured digital lending portfolios.
    • Implemented end-to-end feature engineering pipelines with automated validation and versioning, reducing model deployment
    turnaround time from four weeks to ten days across client programs.
    • Applied SHAP and stability metrics to explain model decisions, cutting regulatory review cycles by three weeks and enabling faster
    approvals fr
  • Tala
    Data Analyst
    Tala
    Apr 2019 - May 2021 (2 years 2 months)
    • Analyzed mobile lending application data to identify credit risk patterns, building Power BI dashboards that reduced early default
    rates by 6% across 1.2M loan applications in India market.
    • Partnered with product and risk teams to define underwriting metrics, validating model inputs through SQL analysis that improved
    approval accuracy by 4% within six months for borrowers.
    • Designed end-to-end ETL workflows for transaction and repayment datasets, automating data quality checks that cut reporting
    latency from five days to one day during monthly risk reviews.
    • Conducted A/B analysis on loan pricing experiments, quantifying customer response and revealing segments that increased net
    interest revenue by
Education verified_user 0% verified
  • New Jersey City University
    Master of Science in Business Analytics & Data Science
    New Jersey City University
    Jan 2024 - Dec 2025 (2 years)
  • Vikram university
    Bachelor of Science in Computer Science
    Vikram university
    May 2016 - May 2019 (3 years 1 month)