# Fedi Haddadi

Fedi Haddadi is a remote worker on Himalayas, AI Engineer at NexDiscovery, based in Tunisia.

Source: https://himalayas.app/@fedihaddadi

```text
AI Engineer at NexDiscovery building NLP pipelines to extract business relationships and entities from unstructured text.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Tunisia |
| Authorized to work in | Tunisia |
| Salary expectations | 40k+ USD |
| Job categories | AI Engineer, Data Scientist, Data Science Intern |
| Skills | Machine Learning, Natural Language Processing, Named Entity Recognition, Coreference Resolution, Entity Extraction, Text Classification, Sentiment Analysis, Fine Tuning, Semantic Similarity, Statistical Analysis, Data Mining, Time Series Analysis, Panel Data Analysis, Clustering, Feature Engineering |
| LinkedIn | https://linkedin.com/in/fedi-haddadi-9178621a3 |
| GitHub | https://github.com/Fedi-Haddadi |

## About

```text
At NexDiscovery, I develop and benchmark machine learning models for business relationship classification. I also build NLP pipelines that extract relationships and entities from unstructured text, turning business data into structured insights.

At Control Mapping, I built a coreference-enhanced entity extraction workflow using FastCoref and spaCy NER, improving organization name linking accuracy by 40%. I also developed an automated regulation extraction pipeline that reduced manual compliance review time by 60%.

My independent research evaluated how linguistic vagueness affects transformer-based sentiment classifiers, finding prediction stability above 95% for DistilBERT and RoBERTa. I work with Python and tools including PyTorch, HuggingFace Transformers, and spaCy.
```

## Experience

### AI Engineer (current)

NexDiscovery. Jan 2026 - Present

```text
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.
```

Skills: Machine-Learning, NLP, Entity-Extraction, Data-Pipelines, Algorithm-Design

### Data Scientist

Control Mapping. Nov 2024 - Dec 2025

```text
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.
```

Skills: SpaCy, FastCoref, NER, Fuzzy-Matching, Transformers, Python

### Data Science Intern

Control Mapping. Feb 2024 - Oct 2024

```text
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.
```

Skills: Clustering, Time-Series-Analysis, Panel-Data, Data-Visualization, Regression-Modeling

### Data Science Intern

Keystone Group. Jul 2023 - Aug 2023

```text
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.
```

Skills: Machine-Learning, Feature-Engineering, Model-Optimization, EDA, Statistical-Modeling

### Communications Director

TBS Junior Enterprise. Jul 2021 - Jun 2022

```text
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.
```

Skills: Action-Planning, Quality-Assurance, Dashboarding, Social-Media-Analytics, Market-Trends

### Market Research Consultant

TBS Junior Enterprise. Oct 2020 - Jun 2021

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

Skills: Market-Research, Survey-Design, Statistical-Analysis, Data-Visualization

## Education

### Tunis Business School

Bachelor of Science, Business Analytics. 2020 - 2024. Grade: 3.17/4

```text
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.
```

### Udacity

AWS Machine Learning Foundations, Machine Learning. 2023 - 2023

```text
Completed the AWS Machine Learning Foundations certification in 2023.
```

### Udacity

Data Analysis Nanodegree, Data Analysis. 2022 - 2022

```text
Completed the Data Analysis Nanodegree in 2022.
```

### Microsoft

Microsoft Certified: Azure Data Fundamentals, Data Fundamentals. 2022 - 2022

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

### University of Michigan

Introduction to Data Science in Python, Data Science. 2022 - 2022

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

### freeCodeCamp

Data Analysis with Python, Data Analysis. 2021 - 2021

```text
Completed the Data Analysis with Python certification in 2021.
```

## Tech stack

- NumPy
- Pandas
- Python
- Java
- TensorFlow
- PyTorch
- scikit-learn
- SpaCy
- SQL
- vLLM
- Llama.cpp
- Seaborn
- Matplotlib
- Power BI

To contact Fedi, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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