Fedi Haddadi

Developed and benchmarked machine learning models for business relationship classification, and designed NLP pipelines for entity extraction. Led process engineering to streamline data workflows and collaborated on algorithmic design for relationship graph construction.

Built coreference-enhanced entity extraction workflow and automated regulation extraction pipeline, reducing manual compliance review time by 60%. Developed greenwashing detection pipeline using linguistic pattern analysis and transformer models.

Developed clustering algorithms, time series analysis, and panel data models to identify ESG performance trends. Created data visualizations and dashboards to communicate NLP findings to non-technical stakeholders.

Developed machine learning model for detecting and classifying cyberattacks on IoT systems, achieving 99% classification accuracy. Conducted exploratory data analysis and statistical modeling to extract actionable insights.

Created action plans and quality assurance documentation for process execution. Developed monthly dashboards to track progress and analyzed social media metrics to inform data-driven decisions.

Conducted 5 comprehensive market research studies for diverse clientele. Designed questionnaires and surveys for data collection and produced data-driven recommendations using statistical analysis.

Grade: 3.17/4

Bachelor of Science in Business Administration with a major in Business Analytics and a minor in Information Technology, achieving a GPA of 3.17/4.

Completed the AWS Machine Learning Foundations certification in 2023.

Completed the Data Analysis Nanodegree in 2022.

Earned the Microsoft Certified: Azure Data Fundamentals certification in 2022.

Completed the Introduction to Data Science in Python course on Coursera in 2022.

Completed the Data Analysis with Python certification in 2021.