I'm Farid Hosseini, a Machine Learning Engineer and Data Analyst based in Bucharest, Romania. I specialize in Python, SQL, and cloud technologies (AWS, Azure, GCP). I work on building and deploying ML models, data preprocessing, statistical analysis, and automated dashboards for business intelligence. I enjoy turning complex data into actionable insights that drive decisions and optimize business outcomes. I have hands-on experience with deep learning, NLP, and generative AI using PyTorch and TensorFlow, and I strive to apply these tools to real-world problems to improve decision-making and outcomes for organizations.

Farid Hosseini

I'm Farid Hosseini, a Machine Learning Engineer and Data Analyst based in Bucharest, Romania. I specialize in Python, SQL, and cloud technologies (AWS, Azure, GCP). I work on building and deploying ML models, data preprocessing, statistical analysis, and automated dashboards for business intelligence. I enjoy turning complex data into actionable insights that drive decisions and optimize business outcomes. I have hands-on experience with deep learning, NLP, and generative AI using PyTorch and TensorFlow, and I strive to apply these tools to real-world problems to improve decision-making and outcomes for organizations.

Available to hire

I’m Farid Hosseini, a Machine Learning Engineer and Data Analyst based in Bucharest, Romania. I specialize in Python, SQL, and cloud technologies (AWS, Azure, GCP). I work on building and deploying ML models, data preprocessing, statistical analysis, and automated dashboards for business intelligence. I enjoy turning complex data into actionable insights that drive decisions and optimize business outcomes.

I have hands-on experience with deep learning, NLP, and generative AI using PyTorch and TensorFlow, and I strive to apply these tools to real-world problems to improve decision-making and outcomes for organizations.

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Work Experience

Junior Data Analyst at Olimp Company
March 31, 2025 - July 22, 2025
Analyzed 500GB+ sales datasets to identify performance trends, resulting in 12% revenue optimization. Created automated data visualization dashboards using Python and SQL, reducing reporting time by 40%. Technologies used include Pandas, Numpy, and Matplotlib.
Junior Machine Learning/Data Engineer (Freelance)
September 1, 2022 - Present
Delivered ML solutions for 15+ clients across healthcare, e-commerce, and finance sectors. Optimized existing codebases, improving algorithm performance on average by 35%. Built end-to-end machine learning pipelines from data collection to model deployment on cloud platforms. Technologies include PyTorch, Pandas, Numpy, and Matplotlib.
Junior Data Analyst at Olimp Company
March 31, 2025 - July 22, 2025
Analyzed 500GB+ sales datasets to identify performance trends, resulting in 12% revenue optimization. Created automated data visualization dashboards using Python and SQL, reducing reporting time by 40%.
Junior Machine Learning/Data Engineer (Freelance)
September 1, 2022 - Present
Delivered ML solutions for 15+ clients across healthcare, e-commerce, and finance sectors. Optimized existing codebases, improving algorithm performance by an average of 35%. Built end-to-end machine learning pipelines from data collection to model deployment on cloud platforms.
Junior Data Analyst at Olimp Company
March 1, 2025 - August 13, 2025
Analyzed over 500GB of sales data to identify performance trends which helped optimize revenue by 12%. Created automated dashboards for data visualization using Python and SQL that reduced reporting time by 40%.
Junior Machine Learning / Data Engineer (Freelance) at Freelance
September 1, 2022 - Present
Delivered machine learning solutions for over 15 clients in healthcare, e-commerce, and finance sectors. Optimized codebases to improve algorithm performance by an average of 35%. Built end-to-end ML pipelines from data collection to cloud model deployment.
Data Science Engineer at Olimp Company
March 1, 2024 - Present
Analyzed big data sales datasets to identify performance trends, resulting in 12% revenue optimization. Created automated data visualization dashboards using Python and SQL, reducing reporting time by 40%.

Education

BSc at WTIAU University
September 1, 2014 - July 31, 2019
BSc at WTIAU University
September 1, 2014 - July 31, 2019
MSc. Artificial Intelligence at University Politehnica of Bucharest, Faculty of Automatic Control and Computer Science
October 1, 2023 - January 1, 2025
BSc. Software Engineering at WTIAU University, Faculty of Computer Science
September 1, 2014 - July 1, 2019
MSc in Artificial Intelligence at University Politehnica of Bucharest
October 1, 2023 - September 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Retail, Software & Internet, Other, Professional Services