FATEMEH REZAEI
Melbourne,Australia
Summary
Data Analyst and Data Scientist with a PhD in Statistics and extensive experience in predictive modeling and variable pricing. Proven ability to deliver actionable insights through advanced analytics and machine learning techniques. Proficient in Python, R, SQL, and data visualization tools like Power BI and Tableau. Adept at end-to-end data workflows, from data collection and preprocessing to model deployment and storytelling. Passionate about leveraging data to drive business growth and innovation.
Overview
10
10
years of professional experience
1
1
Certification
Work History
Data Analyst (Internship)
Center of Technology Infusion
11.2024 - Current
- Company Overview: La Trobe University - Australia
- Worked in a team-oriented environment to analyse methane emission data, supporting sustainable agricultural practices
- Developed functions to filter good data, improving the accuracy of models by 10%
- Exercised critical thinking by developing statistical models in R using "dplyr, pracma, lme4" packages and MATLAB to identify trends and actionable insights
- Applied problem-solving techniques to preprocess and clean data, ensuring accuracy and reliability for statistical analysis
- Partnered with researchers through cross-functional collaboration, achieving impactful research results and advancing environmental goals
Data Analyst (Remote)
Frafan Toos Co
03.2024 - 09.2024
- Worked with Python programming with libraries Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn and Power BI
- Leveraged problem-solving skills to address challenges in forecasting accuracy and data inconsistencies across large, diverse datasets
- Collaborated with cross-functional teams on Sales Forecasting, Customer Segmentation, Dynamic Pricing Analysis, and Inventory Optimization projects to improve decision-making
- Applied machine learning techniques in Python, including: K-Means Clustering to enhance customer segmentation, Linear Regression to evaluate pricing strategies, Random Forest Regression to capture non-linear relationships between sales drivers like seasonality and inventory
- Designed and delivered interactive Power BI dashboards to track KPIs and share insights with stakeholders, fostering transparency and collaboration
- Demonstrated critical thinking to develop strategies that increased forecast accuracy by 10%, boosted revenue by 5%, and reduced stockouts by 5%
Statistician/Data Scientist
Frafan Toos Co
01.2015 - 01.2017
- Worked with R programming.
- Utilized problem-solving skills to optimize pricing strategies for industrial molds, leading to a 5% increase in sales revenue
- Engaged in cross-functional collaboration with marketing and sales teams to conduct market segmentation and competitor analysis, driving improved business outcomes
- Developed a logistic regression model that predicted customer purchasing behaviour with 78% accuracy, showcasing strong critical thinking and technical expertise
- Analysed advertising effectiveness for archery bows by working closely with stakeholders, improving targeting strategies for recreational customers aged 28-45
- Demonstrated teamwork by effectively collaborating across departments to solve complex data challenges and deliver actionable insights.
Education
M.Phil. - Biostatistics
The University of Melbourne
Melbourne, VIC09.2024
Ph.D. - Statistics
Shahid Beheshti University
Iran11.2020
Skills
- Python
- R
- SQL
- MATLAB
- Power BI
- Tableau
- Data Storytelling
- Problem Solving
- Collaboration and Teamwork
- Strategic Thinking
- Data visualization and presentations
- Data cleaning
- Machine learning
- Data modeling
Certification
- Python Programming, Sanjide Education Community, 2021
- Python for Data Science and Machine Learning Bootcamp, Udemy, 2023
- Advanced SQL, Kaggle, 2024
- Learning Power BI Desktop, LinkedIn, 2024
- Microsoft Azure Fundamentals (AZ900) Cloud Concepts by Microsoft Press, LinkedIn, 2024
- AWS Certified Cloud Practitioner (CLF-C01) Cert Prep: 1 Cloud Concepts, LinkedIn, 2024
- From Excel to Tableau, LinkedIn, 2024
- Data science on British Airways Job Simulation, Forage, 2024
- Data science on BCG Job Simulation, Forage, 2024
- Member, Statistical Society of Australia (SSA), 2024
Accomplishments
- Published several research papers in well-renowned journals including 'Simulation Computation' and 'Theory Methods', both part of 'Communication in Statistics' (Taylor Francis).
- Received Full scholarship for PhD (Melbourne Research Scholarship) from University of Melbourne.
- Achieved 8th at the Statistics National Olympiad in Iran 2012.
- Won several top ranks in highly competitive national entrance exams for PhD and Masters.
Timeline
Data Analyst (Internship)
Center of Technology Infusion
11.2024 - Current
Data Analyst (Remote)
Frafan Toos Co
03.2024 - 09.2024
Statistician/Data Scientist
Frafan Toos Co
01.2015 - 01.2017
M.Phil. - Biostatistics
The University of Melbourne
Ph.D. - Statistics
Shahid Beheshti University
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