Mikhail Slivin
Data Analyst
Mikhail Slivin is a seasoned Data Analyst with over 3 years of experience driving data-driven insights and solutions across a range of industries. Currently serving as a Data Analyst at Constructor, Mikhail leverages his expertise in data analysis, data visualization, and project management to deliver impactful business intelligence that supports strategic decision-making.
Professional Overview
Mikhail is a versatile data professional with a strong background in data analysis, data modeling, and data-driven problem-solving. He specializes in extracting valuable insights from complex datasets to inform business strategies and drive operational efficiency. Mikhail's industry experience spans technology, telecommunications, and transportation sectors, positioning him as a well-rounded data analysis expert.
Experience Summary
Current Role
As a Data Analyst at Constructor, Mikhail is responsible for designing and implementing data pipelines, performing advanced data analysis, and developing interactive dashboards and reports. He collaborates closely with cross-functional teams to identify key business objectives, translate them into data-driven initiatives, and deliver actionable insights that drive measurable impact. Mikhail's recent achievements include:
- Spearheading the implementation of a comprehensive data governance framework, resulting in a 25% improvement in data quality and integrity
- Designing and deploying a sales forecasting model that increased revenue forecasting accuracy by 18%
- Developing a customer churn analysis tool that enabled the retention team to reduce churn rates by 12%
Career Progression
Prior to his current role, Mikhail held data analysis positions at Distribusion Technologies and Yandex, where he honed his skills in data manipulation, statistical analysis, and data visualization. He started his career as a Junior Data Scientist at ПАО "Ростелеком", where he contributed to the development of predictive models and advanced analytics solutions.
Throughout his career, Mikhail has demonstrated a strong aptitude for problem-solving, a keen eye for detail, and the ability to effectively communicate complex data-driven findings to cross-functional stakeholders. His consistent track record of delivering impactful data-driven solutions has earned him a reputation as a trusted and valuable member of the data analysis community.
Academic Background
Mikhail holds a Master's degree in Data Science from the University of California, Berkeley, where he specialized in machine learning, data mining, and predictive modeling. During his studies, he received several academic awards, including the Dean's List recognition and the Outstanding Thesis Award for his research project on sentiment analysis.
Areas of Expertise
- Data analysis and modeling
- Data visualization and dashboard development
- Statistical analysis and predictive modeling
- Data pipeline design and implementation
- Project management and stakeholder engagement
- Effective communication of data-driven insights
Professional Impact
Mikhail's contributions have had a significant impact on the organizations he has served. At Distribusion Technologies, he spearheaded the development of a customer segmentation model that enabled the marketing team to personalize their campaigns and increase conversion rates by 22%. At Yandex, he led a cross-functional team in the implementation of a real-time monitoring system that improved operational efficiency and reduced downtime by 15%.
Conclusion
With his exceptional data analysis skills, industry expertise, and proven track record of driving measurable business impact, Mikhail Slivin is poised to continue making valuable contributions as a Data Analyst. He is committed to staying at the forefront of data-driven decision-making and leveraging his expertise to help organizations unlock the full potential of their data.
