Skills

Programming Languages: Java, Python, R, JavaScript, PHP, SQL, C#

Tools/Software:
PowerBI, Tableau, GIT, Hadoop, Spark, Microsoft Power Platform, Django, Flask

Data Science: NLP, time series, Deep Learning(LSTM,RNN,CNN,GAN), Machine Learning (NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch), Recommendation Systems

Soft Skills: Teamwork, Creativity

Certifications
Oracle Cloud Infrastructure 2023 Certified Foundations Associate
DELF : Diplôme d'études en langue française (Level B2)
Interests
Kayak | Painting | Reading
Languages
English

Proficient

French
› DELF : 69/100
German

Pre-intermediate

Social networks
LinkedIn
nermine-ali
Consultant Risk Data Analyst / Data Scientist (H/F)

Nermine ALI

Data Science Engineer with 2+ years of experience in building data-driven applications. Proficient in data analysis, data mining algorithms, and predictive modeling.
+216 58 873 642
Work experience
Data scientist
Xquant
South Korea
From June 2021 to June 2023
  • Prompt engineering to extract fund and sub-fund names from the prospectus.

  • Generalize a script using table extraction and Openai API to generate an output in a specific format using a prospectus as an input document.

ESG Project - Analytix:

  • Collect ESG information from alternative data sources.

  • Extract ESG goals from sustainability reports over 5 year period of 200 big companies.

  • Build a pipeline of text extraction and ESG goal detection from CSR reports for the ESG Goal Tracker project.

TS-Expert project:

  • Automatically extract information from term sheets using OCR techniques.

  • Create a NER model with Spacy for keyword extraction from financial documents.

  • Table detection and extraction from financial records (IRS, FX, CRS...).

    Technologies: Python, PaddleOCR, Selenium, OpenAI API, Data Analysis

Data Science Intern | End-to-End ML Pipeline
InstaDeep
Tunisia
From February 2020 to August 2020

Develop an End-to-End Machine Learning Toolkit following the CRISP methodology.

  • Build a full report for the data overview.
  • Generate automatically high-quality and interactive visualizations.
  • Enhance data preprocessing for better data treatment by 75% efficiency.
  • Reduce about 50% the process of feature engineering.
  • Improve model selection and implement optimization methods for optimizing model performance.

Technologies: Python, Plotly, FeatureTools, Optuna, Ray.Tune, Pipelines, Scikit-Learn, Flask

Education
Computer Science Engineering
Private Higher School of Engineering and Technology(ESPRIT)
Tunisie
From September 2017 to December 2020
Bachelor’s Degree in Computer Science
Faculty of Sciences of Tunis
Tunis
From September 2014 to June 2017