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Skills

• Econometric Analysis: Factors Influencing the Purchase of Phytopharmaceutical Products
• Clustering Using Python
• Used statistical and visualization tools with R (ggplot2, lmtest, sandwich) for data processing and analysis.
• Conducted an in-depth econometric analysis using a database.
• Applied econometric models (log-log linear regression) to identify factors influencing the quantity of products purchased.
• Interpreted results to provide recommendations for optimizing supply and distribution strategies.
• Interpreted results, created visualizations, and dashboards.
• R Studio; Python; SQL
• Microsoft Office package; VBA
• Database management
• Economic analysis
• Economic risk analysis
• Econometrics and statistics
• Process optimization

Languages

• English
• French
• Russian
• Romanian

Experience

• Sales Manager - Internet Technology
  May 2024 - Aug 2024
  Chisinau, Moldova

  • Managed client relationships and communicated effectively with startups to understand their needs and propose tailored solutions.
  • Analyzed client data using a CRM system to identify growth opportunities and improve sales strategies.
  • Developed negotiation and sales skills, focusing on achieving business objectives.
  • Collaborated with internal teams to optimize support processes for startups.
  • Optimized profitability and costs.

• Volunteer - Grenoble Experimental Economics Laboratory (GAEL)
  Sep 2023 - March 2025
  Grenoble, France

  • Actively participated in experimental studies conducted by the laboratory throughout the year.
  • Contributed to data collection by acting as a participant in simulated economic scenarios.
  • Familiarization with research processes and the analysis of economic behaviors.

Projects

• Customer Data Analysis
  Nov 2024
  Grenoble, France
  • Analyzed customer data (annual income, spending score) to segment store customers into distinct groups.
  • Used unsupervised machine learning algorithms, such as KMeans and hierarchical clustering, to identify hidden patterns in the data.
  • Applied the Elbow method to determine the optimal number of clusters.
  • Visualized results using Python libraries like Matplotlib, Seaborn, and Scipy.
  • Developed a model to better understand customer behavior and optimize marketing strategies.

Education

• Bachelor's Degree in Economics and Management
  University Grenoble Alpes
  Specialization: Applied Economics and Data Analysis (E2AD)
  Sep 2022 - present

• High School Diploma
  Mihail Sadoveanu High School, Moldova
  Sep 2019 - May 2022.