Parth Oza

Parth Oza

About

Detail

United States

Contact Parth regarding: 
Flexible work
Starting at USD55/hour
id_card
Internships
Open to unpaid internships
groups
Networking

Timeline


work
Job
school
Education
folder
Project

Résumé


Jobs verified_user 0% verified
  • Northern Trust
    AI Engineer
    Northern Trust
    Jul 2024 - Current (1 year 11 months)
    • Built and deployed AI-powered chatbot solutions using RAG architecture, improving customer experience and reducing manual query handling. • Developed end-to-end ML pipelines on Azure processing large-scale financial datasets, improving data processing efficiency by 30%. • Designed AI-driven document automation systems, reducing manual effort and streamlining internal workflows. • Deployed scalable applications using Docker and Kubernetes, ensuring reliable real-time performance and system availability. • Collaborated with business and compliance teams to deliver secure, production-ready AI solutions aligned with enterprise standards. • Implemented prompt engineering and evaluation techniques to improve response accuracy and reduce halluci
  • ValueLabs
    Machine Learning Engineer
    ValueLabs
    Nov 2022 - Nov 2023 (1 year 1 month)
    • Developed AI-based product matching system using embeddings and similarity search, processing 1M+ records with high accuracy • Built automation solutions using LLMs and RAG frameworks, reducing manual effort in client workflows • Designed and optimized data pipelines on AWS and Azure, improving performance and reliability of ML systems • Created interactive tools and dashboards for business users, enabling data-driven decision-making • Worked closely with cross-functional teams to deliver client-focused AI solutions in fast-paced environments
  • InfoLabz
    ML intern
    InfoLabz
    Jan 2021 - Dec 2022 (2 years)
Education verified_user 0% verified
  • Roosevelt University
    Master of Science in Computer Science
    Roosevelt University
    Jan 2024 - Dec 2025 (2 years)
    Chicago, IL
Projects (professional or personal) verified_user 0% verified
  • S
    Stock Market Forecasting Model
    Jan 2025 - Feb 2025 (2 months)
    • Developed time-series forecasting model to predict stock trends using historical data • Improved prediction accuracy using feature engineering and model optimization techniques • Utilized Tableau and Microsoft Power BI for advanced data visualization, creating interactive dashboards to display historical stock movements, trading volumes, and key technical indicators, which facilitated the identification of meaningful trends. • Leveraged Power BI to construct real-time reporting dashboards that tracked model predictions against actual stock performance, enabling clear interpretation of results for stakeholders. • Effectively communicated complex data insights and model outputs to non-technical audiences through clear and actionable visuali
  • A
    AI-Powered Recruitment & Performance Prediction System
    Aug 2024 - Sep 2024 (2 months)
    • Built predictive models to identify top candidates, improving hiring decision accuracy by developing a comprehensive AI-powered recruitment and performance prediction system. • Developed an end-to-end pipeline for data processing, feature engineering, and model training, ensuring robust data handling and model development workflows. • Leveraged business intelligence concepts through tools like Tableau and Microsoft Power BI to present model outputs, including hiring funnel metrics, candidate scoring trends, and performance prediction insights, in a clear and actionable format for stakeholders. • Translating complex data such as candidate match scores, recruitment pipeline status, model performance, and prediction summaries into understand