ILLIA LOBACHOV
DATA SCIENTIST
Lausanne,VD
Summary
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Quality Assurance and Business Analisys.
Experienced with complex data analysis and advanced statistical techniques to uncover actionable insights. Utilizes machine learning & deep learning models to solve real-world problems and enhance business outcomes. Knowledge of Python and data visualization tools to communicate findings effectively.
Overview
5
5
years of professional experience
3
3
Languages
2
2
Certificates
Work History
Technical Implementation Specialist
Brightfin
11.2021 - Current
- Collaborated with international clients and partners to gather requirements and deliver tailored technical solutions, demonstrating strong stakeholder communication, and agile methodologies.
- Maintained and upgraded ServiceNow instances by implementing performance optimization techniques and system patching, and leveraged data pipelines to monitor system metrics.
- Resolved client incidents within defined SLAs, ensuring rapid response and detailed incident management, akin to scalable data solutions prototyping.
- Developed JavaScript scripts to enhance system features, indirectly supporting backend data flow, and integration efforts.
- Authored detailed technical documentation for internal and external use to streamline onboarding, troubleshooting, and cross-functional collaboration.
- Managed multiple implementation projects concurrently, maintaining strict deadlines without compromising quality or scope.
- Developed strong relationships with clients, fostering trust and confidence in the implementation process.
- Conducted detailed requirements analysis for each project, creating customized solutions based on client needs.
- Served as a subject matter expert for both internal teams and clients during the implementation process, providing guidance and clarification when needed.
QA Engineer
TestTeamNow
04.2020 - 11.2021
- Allocated tasks and coordinated responsibilities among team members to ensure streamlined testing processes and efficient project management.
- Conducted regression, functional, integration, and smoke testing across multiple projects (e.g., East West Bridge, Sekta_shop, Smart-Tel), applying statistical analysis to validate system performance.
- Tracked versions and executed thorough testing prior to deployment, ensuring data quality and system reliability, akin to robust data management practices.
- Facilitated clear communication between testing and development teams to integrate feedback and address technical discrepancies quickly.
- Mentored and supported new team members, fostering an environment of continuous improvement and efficient, data-driven decision-making.
- Utilized APIs for web application testing, reinforcing a hands-on approach to troubleshooting and data extraction for performance insights.
- Contributed to successful product launches through meticulous end-to-end testing of applications.
- Collaborated with developers to identify and resolve software issues, leading to higher product reliability.
- Optimized test coverage by maintaining a well-organized, up-to-date library of test cases corresponding to application requirements changes over time.
Skills
Python programming: Pandas, NumPy, MatplotLib, Seaborn
Machine learning & Deep learning: Scikit-Learn, PyTorch,
Statistical analysis
SQL databases
Feature engineering
Optimization techniques
ETL Development
Spark Framework
Data pipeline design
Hadoop Ecosystem
SQL programming
Data analysis
Database design
Certification
Licensed ServiceNow Administrator
Work Preference
Work Type
Full TimeContract WorkLocation Preference
RemoteHybridImportant To Me
Work-life balanceCareer advancementHealthcare benefitsCompany CulturePersonal development programsWork from home optionLanguages
English
Ukrainian
Polish
Education
Master of Science - Computer Science: Data Science
Coursework: Data Science, Data Engineer, Data Analysis/Visualization, Project Management, Cloud computing, DB basics, Python course.
- 3.9 GPA
- 96% Average
Interests
Hiking
Cycling
Self-developing
Gaming
Car Racing