Fundamentals of Data Science - course RUB 28,875. from SF EDUCATION, training 5 months, Date November 28, 2023.

Experience (more than 10 years of experience in finance):
- 2 years at Wells Fargo (USA)
- 7 years at Goldman Sachs (USA)
- Went from trainee to VP at GS (NYC)

Education: Master of Finance, University of Utah; BS, Computer Engineering, University of Utah

Achievements:
- In five years, he worked his way up from a junior analyst to a vice president at a leading international investment bank - Goldman Sachs. There he was co-leader of the international committee of analysts. Managed a team of 20 people before leaving for a promotion to Wells Fargo Bank;
- Worked at Wells Fargo for about two years, leading an international team of 180 people. At the bank he transformed the Agency Lending Trading business area.
. Left with a promotion to the Silicon Valley Innovation Center in 2020 to the position executive (operating) director, where he manages the digital transformation of Fortune companies 500;
- In the Silicon Valley Innovation Center (SVIC), over a year and a half of work, he developed and helped implement innovative strategies of such companies as: BDO, AB InBev, AstraZeneca, Suncorp Australia, DLL Group. Increased the revenue of the company's consulting department by 6 times during this period;
- In his first position in IT, he participated in a project to create a robotic arm for the disabled (he was involved in the encapsulation of chips in the head);
- In his master’s program at the David Eccles School of Business (University of Utah), he won a scholarship for outstanding academic results. Now at the university he acts as an adjunct professor in the Data Science course.

Specializations: applied mathematics, analytics, programming, Data Science, computer vision, artificial intelligence

- IT Resume - CEO, Founder
- Pharmacy Center – Executive Director
- Aurum – Data Scientist (Computer Vision)
- Invitro (regions) – Data Scientist

Achievements:
- Founder and lead developer of a platform for preparing for technical interviews and developing IT Resume skills
- Developed the company’s analytical infrastructure in a pharmacy chain: data collection, reporting automation, visualization, automatic reporting
- At Aurum, he was involved in the creation of a web service for recognizing people from public events. Led a project to identify employees at enterprises using artificial intelligence
- Engaged in the scientific development of algorithms and methods of data processing: classification, interpolation, time series processing, neural networks. Periodically published in cited publications and takes part in scientific conferences

Specializations:
Computational finance, mathematical programming, derivatives

Experience (over 9 years in computational finance):
Citi, J.P. Morgan, BNP Paribas, hedge funds

Education:
MSc, Complex Systems Science at Ecole Polytechnique; MSc, Applied Mathematics at the University of Warwick; BSc, Applied Mathematics and Physics at MIPT

Achievements and biography:
Worked in computational finance on both sell-side (banks) and buy-side (hedge funds and government organizations);
Expert in pricing derivatives (equity derivatives) and risk assessment (interest rate and regulatory risks);
Technology stack: C++, Python and SQL

Master the Kotlin programming language - learn to use the integrated development environment and create object-oriented applications.

Let us help you build a career in Data Science from scratch. You will learn to solve problems in the field of medicine: process data on cardiovascular diseases, oncology, EEG signals, X-ray images. All this using neural networks and machine learning.

Training. The program volume is 72 hours. This distance program is designed for anyone who wants to learn mathematical methods programming, as well as for engineering students, students specializing in the field applied mathematics.