
Gusman Akhmetzyanov
Kazan, Russia
Gusman Akhmetzyanov
developer, analyst, creator of reports in Power BI
Category : Testing and QA
Professional Profile
A skilled data analyst and programmer with comprehensive experience in financial analytics, market research, and data engineering. Proficient in the full data analysis cycle, from automating data collection via APIs to building interactive dashboards and generating actionable insights. Developed and implemented a novel algorithm for calculating pressure in inclined wells using sensor data and statistical methods. Automated key business processes, including data collection for e-commerce platforms and the generation of HTML reports. Created numerous dashboards in Power BI for financial reporting, market analysis, sales statistics, and warehouse management for various industries. Expertise includes building data models, performing ad-hoc analysis to identify sales trends, and developing internal tools and plugins for data processing.
Key Accomplishments:
Automated data collection from Wildberries using its API and built financial reports for internal dashboards.
Developed new metrics and data tables for in-depth analysis of advertising campaign performance.
Analyzed sales team performance based on call transcripts and created market intelligence dashboards for the polymer industry.
Built a model for calculating pressure in an inclined well and created a plugin for processing data from downhole sensors.
Developed educational materials for database courses and created BI reports for inventory forecasting and warehouse management.
Tech Stack: Python (Pandas, NumPy, SciPy, Matplotlib, Plotly), SQL (PostgreSQL), Power BI, Apache Superset, Apache Airflow, Git, 1C, Excel.
A skilled data analyst and programmer with comprehensive experience in financial analytics, market research, and data engineering. Proficient in the full data analysis cycle, from automating data collection via APIs to building interactive dashboards and generating actionable insights. Developed and implemented a novel algorithm for calculating pressure in inclined wells using sensor data and statistical methods. Automated key business processes, including data collection for e-commerce platforms and the generation of HTML reports. Created numerous dashboards in Power BI for financial reporting, market analysis, sales statistics, and warehouse management for various industries. Expertise includes building data models, performing ad-hoc analysis to identify sales trends, and developing internal tools and plugins for data processing.
Key Accomplishments:
Automated data collection from Wildberries using its API and built financial reports for internal dashboards.
Developed new metrics and data tables for in-depth analysis of advertising campaign performance.
Analyzed sales team performance based on call transcripts and created market intelligence dashboards for the polymer industry.
Built a model for calculating pressure in an inclined well and created a plugin for processing data from downhole sensors.
Developed educational materials for database courses and created BI reports for inventory forecasting and warehouse management.
Tech Stack: Python (Pandas, NumPy, SciPy, Matplotlib, Plotly), SQL (PostgreSQL), Power BI, Apache Superset, Apache Airflow, Git, 1C, Excel.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
- 🇬🇧 English
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