Resume from October 2, 2019 PRO

Filimonchuk Alexey

Data Scientist, Machine Learning Engineer


25 years

Contact information

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Work experience

Head of NOC

from 07.2016 to 06.2017 (11 months)
Speedflow, Одесса (Telecom & Software)

Leading a support team of 8 people
Analysis and optimization of technical processes
Developing new features in company software solutions
HR operations for new employees
Monitor, coach, motivate and improve skills of the team
Description regulations

Noc VoIP Engineer

from 08.2012 to 05.2019 (6 years 9 months)
Speedflow, Одеса (Telecom & Software)

Handling requests from clients, providers and sales department
Analyzing and resolving clients’ issues via e-mail, messengers and phone
Troubleshooting any issues appeared on routes controlling the process until successful resolution and customer’s satisfaction
Monitoring network to detect system issues and/or alarms.


Institute of refrigeration, cryotechnology and ecoenergetics named after V. S. Martynovsky

COMPUTER ENGINEERING: computer systems and networks, Одеса
Higher, from 09.2010 to 07.2015 (4 years 10 months)

Additional education

  • Data Scientist with Python ( (2019, 1 month)
  • Math and Python for Data Analysis (2019, 1 month)
  • Data Analyst with Python ( (2019, 1 month)
  • Python Programmer ( (2019, 1 month)

Language proficiencies

  • English — average
  • Russian — fluent
  • Ukrainian — fluent

Additional information

Developed traffic classification system: Fraud/not Fraud traffic. Were used several ways to solve this problems. First way, classification of traffic and each call from Call Detail Record in DecisionTreeClassifier and KNeighborsClassifier (Scikit-learn). Second way, feature generation technics, adding new features and XGBoost as classifier. Result model allows to provide better analysis of voice traffic, protect suppliers from blocking, minimal loss of money when a client was hacked.

Kaggle Competitions, Coursera and DataCamp courses, Medium articles and GitHub code.

Time management
Excellent verbal and written communication skills
Conflict resolution
Experience in leadership as Department Head of Technical Support
Fast Decision Making
Strong analytical and interpersonal skills including developing instructions, researches and reports to high-level executives
Description task development
Ability to work under pressure
Data analyse
Machine Learning (Regression, Classification, Clustering, Supervised Learning, Unsupervised Learning)
Libraries (Scikit-learn, Pandas, Matplotlib, NumPy, XGBoost, Keras, LightGBM, CatBoost, Seaborn, Jupyter Notebook)
A/B Testing (Statistical Testing and Experiment Design)

Data Analyst with Python
Python Programmer
Data Scientist with Python

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