Anastasia G
@anastasiag
Data analyst passionate about uncovering insights and improving efficiency.
What I'm looking for
I am a dedicated data analyst with extensive experience in both corporate and client-based projects, specializing in remote work. My proficiency in various analytical tools allows me to efficiently process, analyze, and visualize complex data. I thrive on uncovering valuable insights that help companies enhance their efficiency and achieve strategic goals.
Throughout my career, I have successfully conducted data collection and analysis, focusing on brand perception and market segments. My role as a Pre-sale Data Analyst at Reputation House has honed my skills in sentiment analysis, competitive analysis, and data transformation using SQL and Excel. I take pride in preparing comprehensive analytical reports and presentations that guide clients in optimizing their reputations and marketing strategies.
In addition to my corporate experience, I have worked as a self-employed data analyst, where I developed Python scripts for data processing and modeling. My projects have included e-commerce sales analysis and LTV forecasting for mobile applications, showcasing my ability to deliver actionable insights through statistical analysis and visualization techniques.
Experience
Work history, roles, and key accomplishments
Data Analyst
Self-Employed
Aug 2023 - Present (1 year 11 months)
Developed and optimized Python scripts for data processing, modeling, aggregation, segmentation, and building analytical models. Utilized data tools such as Power BI and Matplotlib to visualize and present analytical insights, providing recommendations to improve business processes.
Pre-sale Data Analyst
Reputation House
Mar 2024 - Present (1 year 4 months)
Conducted data collection and analysis on brand, individual, and market segment perception, including building semantic cores and analyzing sentiment. Prepared internal analytical reports in Power BI and client presentations in English, including charts, descriptions of obtained results, and marketing strategy recommendations.
Financial Specialist
DNS
Oct 2019 - Sep 2022 (2 years 11 months)
Regularly conducted financial statement analysis to identify discrepancies and implemented corrective measures to ensure data accuracy and reliability. Performed detailed reconciliation of payment transactions and participated in the implementation of the Cloud Cash Registers module.
Education
Degrees, certifications, and relevant coursework
Voronezh State Technical University
Bachelor's Degree, Financial Management
Grade: 4.76/5
Completed a Bachelor's Degree in Financial Management. Achieved a GPA of 4.76/5, demonstrating strong academic performance in the field.
Availability
Location
Authorized to work in
Portfolio
drive.google.com/certificatesJob categories
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