Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 4


With over three years of professional experience in the data science field, I began my journey as a mentor for R and Python programming languages. Since then, I have had the opportunity to work across diverse industries including banking/finance, retail, advertising, consulting. 
Throughout my career, I have been involved in a variety of projects such as micro-scoring, IFRS, Churn, Pricing (Interest Rate Rejection) modelling and Time Series Models.
In all of these projects, my main focus was to solve business problems with AI  and drive impact.
Moreover, I have a strong understanding of automating processes and developing pipelines to enhance business efficiency. My skills include statistical analysis, machine and deep learning, data visualization, have a proven ability of extracting insights from large datasets using Python and PLSQL and presenting findings in a clear, and compelling manner to non-technical people. 
Also I have obtained Tensorflow Developer Certificate and possess expertise in Deep Learning methodologies.
Moreover i have my hands on with  broad range of technologies, such as Mlflow, AIrflow, Docker, and Flask (to develop simple APIs ).