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Work Background
SpringboardData Science Trainee | Python, SQL, Data Analysis, Machine Learning
Mar. 2024San Francisco, California, United StatesMastered skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.
• Capstone Project 1: Automated product classification and counting using image processing and CNNs, applying critical thinking to streamline supermarket checkout processes. • Capstone Project 2: Conducted an in-depth analysis of salary trends in Data Science by aggregating data from over 1,000 job postings and salary surveys; identified critical factors influencing compensation levels for data professionals.
• Capstone Project 3: Developed a pricing model for Big Mountain Resort by analyzing consumer demand and competitor strategies, identifying optimal price points to maximize revenue without sacrificing customer volume.
ProEventSystem Analyst | System Analysis, Data Analysis
Jun. 2021 - Oct. 2023Moscow, RussiaMapped system requirements with UML diagrams, optimizing workflows and enabling the successful development of an event booking management application within one year. Collaborated with a cross-functional team to develop and implement an event booking management application, utilizing adaptability and teamwork to enhance operational efficiency.
GeekBrainsSysten Analyst Intership
Jan. 2021 - Jun. 2021Moscow, RussiaAnalyzed system requirements with UML and BPMN, enhancing workflow efficiency.
Collaborated on cross-functional projects, focusing on system architecture and data-driven solutions.
Used Jira, Power BI, and Tableau for managing tasks and visualizing data.
Gained hands-on experience in system analysis and developed practical skills in process modeling, Python programming, and data visualization, which strengthened my ability to tackle complex technical challenges.
PolusResearch Engineer | Data-Driven Research, Product Quality Improvement
Jun. 2014 - Oct. 2020Tomsk, RussiaDeveloped a systematic approach for tracking and analyzing device failure rates using Power BI and Excel, which led to a 30% reduction in production defects over a 12-month period.
Led cross-functional teams in the investigation of discrepancies, coordinating research efforts to pinpoint root causes and implement corrective actions.
Created detailed failure reports and visualizations, utilizing statistical analysis to inform actionable plans that significantly reduced defects and improved overall product reliability.
Implemented data-driven strategies based on research findings, boosting production efficiency and enhancing product quality.
National Research Institute of Applied Mathematics and MechanicsSenior Research Engineer | Gas Dynamics, Combustion Analysis, Data Analysis
Mar. 2014 - Sep. 2019Tomsk, RussiaDesigned and tested gas dynamic tract configurations; analyzed performance data from over 100 simulations to identify optimal airflow paths, increasing the efficiency of combustion chambers across applications.
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