Requests
5
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Network Power<100 people
Roles
💸100%
Marketing
✔️100%
IT
👍100%
Sales & BizDev
Geos
🇷🇸100%
Serbia
Work Background
YandexSoftware Analyst
Mar. 2023Belgrade, SerbiaDeveloping ETL processes, preparing data marts, data analysis and other clever words.)
Tele2Senior Data Analyst
May. 2022 - Jul. 2023Moscow, Moscow City, RussiaWorking in a department of Client business management I:
· Built and deployed an ML model (multiclassification based on LGBM) to predict the propensity of the offers acceptance
· Developed a recommendation system to conditionally recommend loyalty program offers based on the order history. Increased activations by 11% per week.
· Conducted ad-hoc analysis, made statistical research, and visualized data of target campaigns · Built daily operational report to track CVM campaigns performance
CloveriData Scientist (internship)
Jan. 2022 - Feb. 2022· In partnership with the product team developed a recommendation engine (based on Implicit) to raise up purchasing a conversion
· Exploratory Data Analysis and Future Engineering
· Recommendation Models build and evaluate
I-TecoData Analyst
Nov. 2021 - May. 2022Moscow, Moscow City, Russia· Jira data analysis to monitor the solution development process and evaluate the performance
· Building KPIs dashboards with Developer Teams
· Made ad-hoc analytics for Data Intelligence and development process evaluation
· Made custom analysis and data visualization with Python
Ministry of energy of Russian FederationData Analyst
Jun. 2020 - Oct. 2021Moscow, Moscow City, Russia· 5 years of historical data analysis to find insights about electrical system outages and electricity consumption
· Developing digital power outages profiles of Russian Power Operations
· COVID lockdown and energy consumption exploration
· Assessed transmission system operators’ performance
SkillFactoryData Scientist
Dec. 2019 - Jun. 2021Some of my projects: Estimation of people’s age in a streaming video
· Created a neural network model in Python, that outperformed the mean absolute error on cross-validation by 4.0%.
· Combining model with OpenCV library to launch on the local webcam Image classification
· Created a neural network model in Python, that defines a car model based on the car image. The final accuracy of more than 97% Car market price prediction
· Created a car price prediction engine that contains two different decision tree models, the NN model to process tabular data, the NLP model for processing car descriptions, and the NN model for processing car images. Final MAPE - 12.6%
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