P

Pooja Pilla

About

Detail

New York, United States

Timeline


work
Job
school
Education

Résumé


Jobs verified_user 0% verified
  • JPMorganChase
    Senior AI/ML Engineer
    JPMorganChase
    Oct 2023 - Apr 2026 (2 years 7 months)
    ▪ Spearheaded development of enterprise-scale machine learning platforms using Python 3.10, TensorFlow 2.13, PyTorch 2.1, and Apache Spark 3.4, enabling predictive analytics capabilities for fraud detection, credit risk evaluation, and transaction monitoring across high-volume financial systems processing millions of transactions daily. ▪ Architected machine learning pipelines using Databricks Runtime 13.x and MLflow 2.x, enabling automated experiment tracking, model lifecycle management, and high-capacity model training across enterprise financial datasets. ▪ Crafted deep learning architectures using TensorFlow and PyTorch frameworks, powering predictive models capable of identifying anomalous transaction patterns and improving fraud detec
  • American Express
    Senior Machine Learning Engineer
    American Express
    Jun 2022 - Sep 2023 (1 year 4 months)
    ▪ Engineered enterprise machine learning systems using Python 3.x, Scikit-learn 1.x, Apache Spark 3.x, and AWS SageMaker, enabling predictive analytics platforms supporting financial fraud detection and transaction monitoring systems. ▪ Architected distributed data processing pipelines using Apache Spark cluster computing frameworks, enabling efficient analysis of high-volume financial transaction datasets across enterprise analytics environments. ▪ Established fraud detection models using classification algorithms including Gradient Boosting and Random Forest, strengthening anomaly detection across payment processing systems. ▪ Constructed credit risk scoring models enabling financial institutions to evaluate customer creditworthiness and
  • BlueCross BlueShield of South Carolina
    Machine Learning Engineer
    BlueCross BlueShield of South Carolina
    Jul 2021 - May 2022 (11 months)
    ▪ Produced enterprise predictive analytics systems using Python 3.x, Scikit-learn 1.x, and statistical modeling techniques, enabling detection of fraudulent healthcare insurance claims across large-scale healthcare datasets containing millions of claim transactions. ▪ Architected distributed machine learning pipelines using Apache Spark 3.x and PySpark frameworks, enabling thorough datasets across distributed analytics environments supporting enterprise healthcare platforms. ▪ Established anomaly detection models using Isolation Forest and clustering techniques, enabling identification of irregular insurance claim patterns and improving fraud detection effectiveness across healthcare analytics systems. ▪ Assembled feature engineering pipel
  • I
    Software Engineer
    Indus Asuka Software Pvt Ltd
    Feb 2019 - Oct 2020 (1 year 9 months)
    ▪ Produced backend data processing pipelines using Python and SQL-based analytics frameworks, enabling enterprise analytics platforms supporting business intelligence reporting and operational analytics systems. ▪ Constructed relational database architectures using MySQL and PostgreSQL database platforms, enabling efficient storage and retrieval of enterprise datasets used for analytics reporting systems. ▪ Established ETL pipelines enabling ingestion and transformation of large enterprise datasets into analytics-ready formats. ▪ Produced analytics dashboards using Tableau visualization tools, enabling business teams to track operational performance metrics and analytics insights. ▪ Assembled high-throughput data processing pipelines suppor
Education verified_user 0% verified
  • V
    Vignan's Institute of Information Technology
    Vignans Institute Of Information Technology
    Jan 2015 - Jan 2019 (4 years 1 month)