Gaurav Hoskote

Gaurav Hoskote

Software Engineer

Followers of Gaurav Hoskote1000 followers
location of Gaurav HoskoteAustin, Texas, United States

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  • Timeline

  • About me

    AI/ML and Data @ UOPX

  • Education

    • Vidyanidhi Junior College of Science

      2013 - 2015
      Higher Secondary Education Computer Science 85%
    • St.Xavier's High School

      2004 - 2013
      SSC 90%
    • Arizona State University

      2022 -
      Master of Science - MS Computer Science

      Courses: Statistical Machine Learning, Foundations of Statistical Learning, Spatial Data Science and Engineering.

    • Pune Institute of Computer Technology

      2015 - 2019
      Bachelor of Engineering - BE Electronics and Telecommunication. 7.75
  • Experience

    • HSBC

      Jul 2019 - Jan 2020
      Software Engineer

      ● Customer Due Diligence: Enhanced the risk calculation module by refactoring it to incorporate distinct evaluation rules tailored for fraud detection and identification of defaulters.● Techstack used: Java Spring Boot, Mockito, JUnit, MySQL, Hibernate, Maven.

    • PhonePe

      Feb 2020 - Jul 2021
      Member Of Technical Staff

      ● Anomaly Detection: Developed and scaled an Anomaly Detection System, which proactively identified fluctuations in transaction success rates, preventing potential financial losses. The system's alerts helped stakeholders swiftly respond to system outages, avoiding losses exceeding a million dollars. For more details, visit the project on my blog.● Reconciliation Systems: Designed and constructed pipelines to reconcile transaction data with partner merchants, extracting information from various sources such as SFTP servers and REST APIs. Played a pivotal role in architecting scalable Reconciliation systems for industry leaders like Visa Cybersource, Airtel, and Billdesk, contributing to monthly revenues exceeding 5 million dollars.● Product API: Developed robust product service APIs customized for the Credit Card category, streamlining the Operations Team's workflow and slashing average ticket response times by over 67%.● Leadership and Engineering Excellence: As Product Owner of the Credit Card category, led a team to execute engineering excellence initiatives, resulting in a 21% increase in transaction success rates.● Hiring: Conducted over 15 technical interviews and hired new talent to join the company.● Techstack used: Java Spring Boot, Python, Swagger, Grafana, Foxtrot, Mockito, MySQL DB, Influx DB, Crontab, Junit, RabbitMQ. Show less

    • Seidman Research Institute

      Mar 2023 - Dec 2023
      Programming Technician (Data Science)

      ● Data Analytics: Worked on the Job Growth Project, which focused on creating an ETL pipeline that extracted publicly available job data from the government website and performed operations to find the percentage of job growth across different categories.● Techstack used: Python, AWS RDS, SQLAlchemy, Pandas, Numpy, etc.

    • DHL Global Forwarding

      Jun 2023 - now
      IT BPO Intern

      ● Data Analytics and Visualization Pipelines: Implemented a robust data pipeline to extract insights and visualize user engagement patterns in proprietary tools for DHL Global Forwarding and its clients. Designed schemas, built tables for efficient data management, and implemented SQL stored procedures for seamless information extraction. Utilized Qlik Sense for data visualization, resulting in a notable 22% surge in application usage.● D-container form Automation: Proficiently automated D-container form completion using the Appenate platform to streamline the data collection process for packages dispatched from the warehouse. Effectively utilized automation to enhance efficiency in gathering essential shipment information.● Techstack used: SQL Server Management Studio, QlikSense, Appenate. Show less

    • W. P. Carey School of Business – Arizona State University

      Aug 2023 - Dec 2023
      Teaching Assistant - CIS 591 Python for Data Science | CIS 508 Machine Learning for Business.

      ● Generative AI based Auto Grading: Developed an auto-grading system using generative AI that provided personalized feedback and maintained detailed student logs for enhanced grading efficiency. This is one of the few courses that has harnessed the power of Generative AI to grade the assignments and provide personal feedback to students.● Guidance: Worked on setting up student coding exercises and grading assignments.

    • University of Phoenix

      Aug 2024 - now
      AI/ML Data Engineer

      Working on Course Recommendations at University of Phoenix.

  • Licenses & Certifications