Cosmin Calinov

• Became experienced with Tensorflow, Keras and Python (Numpy, Pyplot, Plotly, Pandas)
• Developed different machine learning models for solving classification, regression, denoising with autoencoders and image segmentation problems, different models using physics datasets, like weather forecasting (with time-series and the and the data provided by the Max Planck Institute of Biogeochemistry) and charged density mapping
• Applied data preprocessing techniques (scaling, normalization, stratified sampling)
• Collaborated using GitHub for version control and teamwork

I was the leader of a hackathon team of 4. We had the opportunity to make an application for an oil company, more exactly an oil transportation system, that was represented by a graph with 3 levels: refineries, tanks and clients. We used Python for its simplicity to write algorithms and OOP for organizing large amounts of data to achieve our goals.

Helped students with Object Oriented Programming in C++ and Multivariable Calculus a semester each.

• Company Overview: Financial and insurance activities
• Website https://www.bancatransilvania.ro/
• Managing the bank archive converting physical files into digital format
• Organizing data using the Microsoft Office Package
• Organizing documents
• Financial and insurance activities