Atefe Mahdaviadel
Barcelona
Summary
As a Data Science Master's candidate at Aberdeen University, I'm honing my analytical prowess and programming expertise, with a keen interest in applying these skills in a practical setting. My academic journey has equipped me with a foundational knowledge in Wolfram Language, Python, and the principles of statistical analysis. Eager to contribute to data-driven projects, I am looking for an opportunity to bring fresh insights and efficiency to a dynamic team, blending my technical capabilities with a natural curiosity for solving real-world challenges.
Overview
11
11
years of professional experience
Work History
Data Analytics Engineer
MTN Irancell
01.2017 - 01.2022
- Employed statistical models and data analytics to inform strategic decision-making, significantly enhancing financial performance and operational processes.
- Enhanced business decision-making by creating user-friendly dashboards and visualizations that communicated complex data trends effectively.
- Increased revenue generation through targeted marketing campaigns informed by comprehensive customer segmentation analyses.
- Developed customized data analytics solutions for specific client needs, leading to increased customer satisfaction.
- Analyzed data to identify root causes of problems and recommend corrective actions.
- Implemented business intelligence solutions to increase operational efficiency.
- Identified opportunities for cost savings through thorough analysis of operational data and implementation of recommended improvements.
- Evaluated new analytics tools and technologies, making recommendations for adoption based on potential impact on organizational goals.
- Collaborated with cross-functional teams to define key performance indicators and develop actionable insights from large datasets.
Economic Analyst
Iran Khodro Company
01.2011 - 01.2016
- Leveraged data analysis to streamline procurement and market strategies, leading to marked improvements in efficiency and market alignment.
- Streamlined data collection methods for improved efficiency in generating economic reports and recommendations.
- Analyzed qualitative and quantitative research to deliver economic policy analysis.
- Conducted sensitivity analyses on proposed projects or initiatives, assessing potential impact of various scenarios on financial performance outcomes.
- Improved overall understanding of macroeconomic trends within organization by producing timely and informative reports for internal stakeholders.
- Contributed to budgeting processes by providing accurate projections of market conditions based on rigorous quantitative analysis techniques.
- Developed and refined forecasts for areas affecting market.
- Studied economic and statistical data.
- Taught theories, principles and methods of economics at university level.
- Supported merger and acquisition activities with targeted economic analyses, highlighting potential synergies and risks associated with new ventures.
- Enhanced economic forecasting accuracy by conducting thorough research and analysis on market trends and indicators.
Education
Master of Science -
Aberdeen University
Aberdeen, UK05.2025
Skills
Programming Languages and Tools:
- Wolfram Language:Data structures and data manipulation
Time series and temporal data analysis
Pre-processing techniques: cleaning, querying, explorations, transformations, smoothing, and discretizing
- Python Libraries:Matplotlib: Competent in creating various types of visualizations to represent data insights effectively
NumPy: Proficient in performing numerical computations and manipulating large datasets for data analysis
Pandas: Skilled in data manipulation, cleaning, and analysis using DataFrames to manage complex datasets
- R Packages:ggplot2: Experienced in data visualization, creating advanced plots to communicate data findings
Modelr: Proficient in building and evaluating statistical models to derive meaningful insights
Tidyverse: Skilled in data manipulation, using a suite of R packages designed for data science
Data Science Techniques:
- Descriptive Statistics: Proficient in summarizing and describing the main features of datasets
- Inferential Statistics: Skilled in making predictions or inferences about a population based on sample data
- Time Series Analysis: Experienced in analyzing time series data to identify trends, seasonal patterns, and other temporal structures
Skills - Programminglanguagestools
- Wolfram Language, Proficient in leveraging Wolfram for comprehensive data analysis, visualization, and tackling complex computational tasks.
- Python, Well-versed in Python for data science, including data manipulation with Pandas, numerical analysis with NumPy, visualization with Matplotlib, and introductory machine learning with Scikit-learn.
- R, Familiar with R for statistical analysis and visualization, utilizing various CRAN packages for insightful data exploration and presentation.
- Statistical Software, Introduced to specialized software and languages for advanced statistical analysis and modeling, ready to apply these tools to derive meaningful insights from data.
Personal Information
- Hobbies: Engaged in continuous learning, particularly in data science and analytics, focusing on the practical application of programming and statistical modeling., Advocate for Women in STEM, working towards increasing representation and opportunities in the field., Passionate about exploring different cultures through travel, broadening my understanding of global perspectives.
- Date of Birth: 09/09/1987
Languages
English
Advanced (C1)
Timeline
Data Analytics Engineer
MTN Irancell
01.2017 - 01.2022
Economic Analyst
Iran Khodro Company
01.2011 - 01.2016
Master of Science -
Aberdeen University
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