Position: Machine learning engineer, data scientist
Category: Data Science
English level: fluent
Years of experience: 2

- 1 journal article published in Applied Sciences (first author)
- 3 conference papers published at EMBC 2021 and APSIPA ASC 2020, 2021 (first author)
- Holder of UK EPSRC scholarship for postgraduate research 
- CodeJam to I/O for Women coding competition winner (February, 2019): As one of the top 150 competitors (out of 2000+ participants) won a ticket and reimbursement to offset travel expenses to Google I/O 2019, Mountain View, California, USA.
- 1st place at Hackathon 4.0: Data for Future by Microsoft (October, 2018): Created platform for analyzing the poverty rate in Kazakhstan within the 24 hours. Won 3000 USD for the team.
- 1st place at "Digitalization of the ecosystem of health and social protection. Blockchain” hackathon by Unicef (May, 2018): Created iOS mobile application with a synchronizable glucose measuring device for children suffering Type 1 Diabetes. Won 1000 USD for the team.
MPhil in Applied Maths (to be awarded), MSc in Electrical and Computer Engineering and just tech enthusiast experienced in academic research looking forward to start a career in industry. 

In 2021 got a full scholarship and stipend from Engineering Engineering and Physical Sciences Research Council for conducting research in numerical methods applied in chemistry as a PhD student at the University of Manchester. Developed mathematical approaches to infer kinetics as a
system of ODEs from catalytic reactions time-series data. Decided to transfer to MPhil, expected to graduate in February 2023. Technologies used: Python (numpy, sci-py, cvxpy), Matlab. 

Worked as a teaching assistant at the Department of Mathematics, University of Manchester. Taught tutorial sessions for Calculus (1st year undergrads),  Programming with Python (2nd year undergrads), Statistical Inference (3rd year undergrads). 

In 2019-2022 developed machine learning and signal processing methods for brain-computer interfaces as a research assistant in Applied Signal Processing laboratory. As a result published a journal article in Applied Sciences and 3 conference papers, including IEEE EMBC 2021 conference. Technologies used: Python (numpy, pandas, sklearn, pytorch), Matlab.  

Education: MPhil in Applied Maths, MSc. in Electrical and Computer Engineering, BEng. in Automation and Control.

Languages: English (IETLS: 7.5),  Russian (first language), Kazakh (second language)