ghazal ebrahimi
Data Scientist with 4+ years of experience in the industry and a strong academic research background operating neural networks, machine learning models, computer vision, data processing, and data mining algorithms to solve challenging real-world problems and biological questions using Python, R, Scala, PySpark.
REVIEWS FROM CLIENTS
Guided mentees to solve different machine learning and algorithmic problems for over 50 hours during one-on-one sessions.
Comple...
Guided mentees to solve different machine learning and algorithmic problems for over 50 hours during one-on-one sessions.
Completed more than 150 freelance projects in machine learning, deep learning, algorithms, and general programming.
Earned an average rating of 5/5 in over 70 reviews from clients.
Created an integrative data analysis tool to gain a deeper understanding of transcriptomic landscape changes in non-obstructive azoosp...
Created an integrative data analysis tool to gain a deeper understanding of transcriptomic landscape changes in non-obstructive azoospermia. This tool achieved a 20-fold reduction in running time compared to previous methods, and a 2-fold increase in accuracy.
Discovered top 15 non-obstructive azoospermia biomarkers through statistical analysis of RNA-seq data using a combination of hypothesis tests and machine learning models.
Launched a recommendation system using content-based and collaborative filtering models to suggest relevant ads to users. This resulte...
Launched a recommendation system using content-based and collaborative filtering models to suggest relevant ads to users. This resulted in a 5\% increase in the click-through rate (CTR) on ad pages.
Developed a comprehensive house price prediction model using a machine learning algorithm, which processed and analyzed a combination of numerical, categorical, and text features. The model was able to predict house prices with an error rate of less than 10\%.
Employed big data systems to analyze gigabytes of user activity data, gaining insights into user behavior and calculating product metrics.
Developed a truthful auction strategy aimed at maximizing profits through the determination of optimal reserve prices and the recommendation of relevant auctions to boost profitability.
Designed and executed different A/B tests and statistical experiments to inform data-driven product decision making.
Delivered coaching and guidance to data science interns and established a mentorship program for new members of the data science team.