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ShahlaQizil/README.md

Sheila Rahmani

Junior Machine Learning Engineer · Predictive Modeling & Data Analysis
Based in Amsterdam, Netherlands

LinkedIn Email Location Open to work


About

Machine Learning Engineer with a strong foundation in data analysis, predictive modeling, and statistical methods, experienced working with real-world datasets across HR-tech, finance, and market analytics.

I combine technical expertise from a Computer Engineering background (IDW-evaluated as HBO Informatica) with analytical thinking from a Master's in Economics — recently complemented by a Data Analytics & AI program in the Netherlands.

Fully authorized to work in the Netherlands. no visa sponsorship required.

Tech Stack

Python Scikit-learn PyTorch Pandas NumPy SQL Jupyter Git

Focus areas: data preprocessing, feature engineering, classification & prediction models, statistical analysis, model evaluation.

Currently Working On

  • Strengthening deep learning foundations in PyTorch (neural network architectures, model evaluation)
  • Building end-to-end ML projects with real-world datasets
  • Microsoft AI & Machine Learning certifications (latest: AI and Machine Learning Algorithms and Techniques, Mar 2026)
  • Improving Dutch toward professional proficiency

Featured Work

Customer Insights & Lead Generation : LIVREA BV (2025) Data analysis on HR software market datasets. Collected and processed structured data via Python from LinkedIn Sales Navigator, Apollo, and KVK. Applied segmentation to identify 50+ high-potential companies for B2B outreach.

Wine Market Data Engineering : Vivino (2024–2025) Extended a Python web crawler to collect and enrich structured wine-producer data, supporting pre-visit selection for an Italian wine-sourcing partnership.

Adjusted Altman Bankruptcy Model (Master's Thesis, 2018) Built a logistic-regression model in Python to improve bankruptcy prediction accuracy on real market data.

Education & Certifications

  • M.Sc. Economics : University of Tehran (2015–2018)
  • B.Sc. Computer Engineering : Payame Noor University (IDW-evaluated as HBO Informatica)
  • Data Analytics : Amsterdam Data Academy (2025)
  • Microsoft: Foundations of AI and Machine Learning (2026), AI and Machine Learning Algorithms and Techniques (2026)

Open to Machine Learning Engineer and Data Science opportunities — let's connect.

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