Ghazal A.
Expert Data Scientist
Experience: Internship, Department of Language Sciences and Technologies, Laboratoire Interdisciplinaire Des Sciences Du Numérique (LISN), Centre national de la recherche scientifique (CNRS), France o Applied Audio signal processing techniques and implemented the Fourier transform for audio spectrum analysis o Utilized machine learning models (CNN, kNN regression) for predicting voice strength o Conducted Principal Component Analysis (PCA) for data dimensionality reduction o Applied scikit-learn library for machine learning tasks and utilized seaborn and matplotlib for visualization Data Operations Intern, BlackRock, Budapest, Hungary o Ensured data accuracy and integrity through data validation, cleaning, and transformation using SQL, Unix, and Python o Generated and delivered analytics reports for client reporting, adhering to strict timelines o Utilized the Aladdin platform for data analysis, portfolio management, and risk assessment Data Analyst, Philippine Red Cross, Manila, Philippines o Conducted data collection, analysis, visualization, and cleaning for daily operations and natural disaster trends o Created comprehensive reports and dashboards for managers, providing insights on testing data and emergency/non-emergency incidents o Optimized ambulance response times across all chapters of the Philippine Red Cross using R, Google Data Studio, and Excel Education: Master of Science in Big Data Management and Analytics, Centrale Supélec, Université Paris Saclay o Courses: Deep Learning, Machine Learning, Reinforcement Learning, Decision Modeling, Massive Graph Management and Analytics, Visual Analytics o Research Project: Predicting well layers tops from well log data using various Machine learning models Master of Science in Business Analytics, Central European University o Courses: Data Analysis with RStudio and Python, Data Engineering in SQL, Cloud computing, Data Visualization with RStudio, Python, and Tableau, Natural language Processing, Web Scrapping o Capstone Project: Predicting the Transaction Price on Property Market for Budapest and major cities in Hungary Other Skills: • Tools: Git, MS Office, Power BI, Tableau, Adobe Photoshop, Jupyter Notebooks, Colab Notebooks, Google Looker Studio, Google Analytics, Google Sheets, Praat, KNIME, Amazon Comprehend, Amazon Transcribe, Amazon Translate, Databricks • Frameworks/Libraries: Keras, TensorFlow, PyTorch, Scikit-Learn, Seaborn, NumPy, SciPy, Scrapy, Pandas, NLTK, BeautifulSoup, Matplotlib, Ggplot • Programming Languages: Python, R, HTML, SQL, JavaScript • Interpersonal Skills: Enthusiastic learner, Multi-lingual, Management, Leadership, Team Building
Earnings and projects
Last 6 months ÷ 6
Earnings, last 30 days
Tracked from Oct 10, 2026.