Position: Data Scientist/Machine Learning engineer
Category: Python
English level: intermediate
Years of experience: 4


Data Science/Machine Learning Engineer at LLP "Alem Research", IT Company
Period: 06/2019 - 12/2021
- Designed, implemented and evaluated ML model to predict depression on social media posts using screening user's profile. Result: 66 teenagers with mental problems agreed to get professional help.
- Managed a process of classification complaint messages from social networks and media resources.
- Improve ML model to determined complaints on kazakh language from 53% to 78%(F1 score).
- Had re-trained ML model, using DeepPavlov, on russian and kazakh languages to identify NER on local area. Decreased to 30% per week manager's work to label posts.
- Developed recommendation process for managers to label social media posts by 15 areas based on ML model. New recommendation processes led to a 14% increase in managers productivity.
- Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale.

Data Science/Machine Learning Engineer at "Kaspi.kz", FinTech Company
Period: 12/2021 - Present
- Implemented the service to analyze and monitor conversation between manager and client using ML model and specific strict conversation rules which need to be abidance. Increased worst managers efficiency from 21% to 26 in 1 month, which helped to save company 197 million NPL.
- Led new metrics for evaluating the performance of managers.
- Researched, designed and implemented machine learning applications to solve business problems affecting more than 5 million of users, processing +100k calls per month.
- Implemented the model deployment process for the speech analytics team. New process allowed to reduce the deployment time by three times.
I want to improve my knowledge on deep learning, develop auto-learning ML models, learn about other deploy method, more coding.

I do not want to be data analytic.