Имеется собственный автомобиль

Права категории B

Objective Development quantitative, analytical skills, broadening the horizons and searching for new contacts. Education (Bachelor) Lomonosov Moscow State University Faculty of Economics (Student of high academic load group) 2017 – 2021 GPA – 4,9 (5) Working experience Summer internship from July to August 2019 at Coca-Cola HBC Russia at the Finance National Key Accounts Department. During the internship I had worked on and supported several projects within the department’s functionality. I had automated the monthly reporting process, improved the structure and usability of the sampling ordering tool, created the generation of automatic P&L statements and had been an active contributor to the setting up of the new variance analysis tool. I had also taken on parts of the Financial Business Partners’ workload in composing plan-fact analysis presentations, and determining and explaining the causes for variances. Activities 0) Prohack 2020 participation 1) Top-33 in Econometrics Universiade 2020 2) Graduation of the Center of Mathematical Finance (ЦМФ). September 2019 – February 2020. 3) Participation in International summer school of financial mathematics 26 – 30 August 2019. 4) Participation in case championships: • Supply Chain Cup 2019 (HQ 25%) • Cup Moscow 2019 (HQ 25%) • Cup Russia 2019 (Semi final) • RASUM 2019 (Participant) - PwC Case championship • Ernst & Young Forensic Case Battle 2019 • Participation in the final stage of the program «Выше мечты». February, 2020. 5) Victory in the research projects competition at the course «Макроэкономика-2» in Lomonosov MSU Faculty of Economics 2019 6) Course teaching "Загадочная история Бенджамина Грэхема" investment assessment course for schoolchildren in EMSch at Lomonosov Moscow State University Faculty of Economics 2017 – 2018 7) Topic of course work - « Developing automated trading algorithms and evaluation of their effectiveness» Relevant subjects Econometrics, Mathematical Statistics, Machine Learning, Quantitative analysis, Mathematical Finance, Finance, Economics, Macroeconomics, Statistics. Language knowledge English (Pre-Advanced), Deutsch (A2), French (A1) Сomputer literacy Python (Numpy, Pandas, Scikit-learn, Matplotlib, … continuing), R (continuing), SQL (continuing)*, VBA (continuing), MS Office (advanced). Recommendations will be provided upon request *Stepik, Data Camp, Slack (ODS), Coursera