I consider myself to be an experienced Full-Stack Data Scientist and Quant Researcher with a great understanding of Machine Learning and Econometrics. What I found exciting about my career and expertise is that it allows me to nimbly jump across different industries and engineering domains. I argue that the true Data Scientist value lies in the ability to understand the stakeholder's needs and plan an appropriate strategy or data-driven framework that will deliver answers, explainable recommendations, and measurable value with statistical significance.
Experience Background
currently, I am a Lead Data Scientist at Tidio, a fast-growing SaaS startup providing CX solutions for e-commerce, where I mainly solve problems connected to Product Analytics, Monetization, Pricing, and Segmentation
previously, I was Data Scientist at Uber, where I delivered recommendations across Product and Marketplace Analytics, forecasted the demand, had a direct impact on the strategy, and successfully deployed ML models into production that saved costs and generated incremental revenue
I have also spent time as Quant Analyst and Quant Researcher at one of the biggest asset managers in the region (acquired by Goldman Sachs in '22), where I helped to build data-driven infrastructure from scratch and delivered impactful trading signals via algorithms and dashboards
I started my working experience as Goldman Sachs Intern, where I was a part of the project management team responsible for high-profile IT infrastructure migration, which resulted in substantial savings for the bank and a full-time offer for me
also, I am a freelancer for hire experienced in building Data Science projects, strategy and frameworks inside startups and corporations, from scratch or from a plan, just contact here via e-mail or here via LinkedIn
Education Background
BSc in Computer Science and Econometrics graduate, where I learned how to efficiently work with multidimensional datasets, differentiate correlation from causation, build communities and projects from scratch as well as been Class of '19 Student Counsel
MSc in Data Science graduate (summa cum laude), where I mastered my statistical modeling skills, learned more about advanced statistics, probability, econometrics, and machine learning algorithms
when I am not solving the world problems with statistics working
I dedicate my time to QuantFin Foundation as Chief Scientist (Member of the Board), where we try to make quantitative finance and FinTech careers more accessible to young students and professionals
or I develop algorithmic investment strategies as a side hustle in between watching the latest Formula 1 Grand Prix!
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