Data Analyst

About My Work Experience

I am a Full-Stack IT Professional with a diverse background spanning IT support, web development, and data analysis. With hands-on experience as an IT Technician, Web Specialist, and Data Analyst, I have developed a strong foundation in troubleshooting technical issues, designing and optimizing websites, and turning complex data into actionable insights. My multidisciplinary expertise allows me to tackle challenges holistically, ensuring innovative and efficient solutions in every project I undertake.

Data Analyst

Working as a Data Analyst has been one of the most rewarding chapters of my professional career. The role allowed me to leverage my technical skills and analytical mindset to extract meaningful insights from complex datasets, enabling data-driven decision-making for organizations. Here, I share my journey as a Data Analyst, including the courses that prepared me, the opportunities I seized, and my impactful work at TecAlliance in Moscow, Russia.

Building My Skillset Through Education

My academic background provided a solid foundation for my work as a Data Analyst. I pursued a Master of Science in Data Analytics at George Washington University, which equipped me with advanced analytical and technical skills. Key courses that shaped my expertise included:

  • Programming for Analytics (Python): This course taught me how to write efficient code for data analysis and automation.
  • Introduction to Big Data & Analytics: I gained exposure to handling and analyzing large datasets.
  • Applied Machine Learning: This provided practical experience in building and deploying machine learning models.
  • Database Management: I developed strong skills in managing and querying databases using SQL.
  • Exploratory Data Analysis (R): This course honed my ability to uncover patterns and trends in data using visualization techniques.
  • Data-Driven Policies: It allowed me to understand how data informs strategic decisions in policy-making and business.

Prior to this, I earned a Master of Science in Innovative Software System: Development, Design, and Application from the National University of Science and Technology in Moscow, Russia. Here, I took courses like Machine Learning, Artificial Neural Networks, and Web Services and SaaS Design that expanded my knowledge of advanced technologies and data science applications.

Achievements and Key Contributions

Throughout my career, I’ve been fortunate to contribute to impactful projects and achieve significant milestones, including:

  • Optimizing Data Pipelines: I built and optimized data workflows that ensured data consistency and accuracy, resulting in higher-quality datasets.
  • Uncovering Actionable Insights: By analyzing large-scale datasets using Python, R, and SQL, I delivered actionable insights that informed strategic decisions.
  • Automating Reporting Processes: Using tools like Power BI and Excel, I automated reporting processes, which improved efficiency and clarity in communicating insights to stakeholders.
  • Cross-Functional Collaboration: Partnering with cross-functional teams, I addressed specific data needs, contributing to initiatives such as expanding market engagement in CIS countries.
  • Training and Documentation: I documented and standardized workflows while training 14 internal team members and 5 external clients on the TecDoc system, enhancing operational efficiency.

One of my standout achievements was leading a data-driven strategy at TecAlliance that improved market engagement, showcasing the power of data to drive business growth.

My Role at TecAlliance in Moscow, Russia

Working at TecAlliance from August 2021 to February 2023 was a transformative experience. TecAlliance is a global leader in data management solutions for the automotive industry, and my role as a Data Analyst provided opportunities to:

  • Analyze and interpret complex datasets to uncover trends, patterns, and insights that supported key decision-making processes.
  • Collaborate with internal teams and external clients to ensure the reliability and clarity of datasets.
  • Implement quality control measures to enhance data accuracy and usability.
  • Optimize data pipelines and automate workflows, resulting in a more efficient data management system.
  • Train and mentor colleagues and clients on data systems, including TecDoc, ensuring successful adoption and usage.

This role deepened my understanding of how data analytics can drive operational efficiency and strategic success, particularly in an international context.

Conclusion

My experience as a Data Analyst reflects a journey of continuous learning and impactful contributions. The combination of academic rigor, technical expertise, and professional opportunities—especially my tenure at TecAlliance—has enabled me to excel in analyzing data and driving meaningful outcomes. I am proud of the milestones I’ve achieved and am committed to leveraging my skills to solve complex challenges and create value in the ever-evolving field of data analytics.

Any Opportunities?

For collaborations in any research or gig, reach out to me here