About me
I am Mahsa Beglari
Experienced Product Analyst with a strong background in driving user engagement and developing data-driven solutions. Known for exceptional analytical thinking, keen attention to detail, and a passion for continuous learning.
Skills
Technical Skills: SQL, Python, R, Excel, Tableau, Power BI, Data Cleaning and Wrangling.
Analytical Skills: Statistical Analysis, Data Modeling, Critical Thinking, Root Cause Analysis, Gap Analysis.
Communication Skills: Data Storytelling, Presentation, Collaboration.
Descriptive Statistics: Mean, Median, Mode, Variance and Standard Deviation, Range, Percentiles, Quartiles.
Inferential Statistics: Hypothesis Testing, Correlation and Regression Analysis, Data Distributions, Time Series Analysis.
Probability Skills: Random Variables, Distributions, Central Limit Theorem.
Industry Experience
Anessa
Product QA Analyst
delivering high-quality products, enhancing user satisfaction, and minimizing post-release defects.
GSS International
Product Analyst
driving product strategy, optimizing user experiences, and ensuring alignment between market needs and business objectives.
Education
I have an educational background that includes an MBA with a Data Analytics major and an undergraduate degree in Industrial Engineering.
This combination provides me with a strong foundation in both Data Analytics management and technical problem-solving, enabling me to drive product strategy, analyze customer behavior, and design data-driven roadmaps effectively.
Projects
Anessa AD.A
Anessa AD•A is a software tool developed to help project developers, consultants, and operators assess the financial and technical feasibility of their anaerobic digestion projects, using advanced simulation tools and data-driven models.
Anessa AD.O
Anessa AD•O is a software tool developed to optimize the operations of anaerobic digestion facilities. It focuses on improving the performance and management of existing anaerobic digestion plants
Anessa AD.M
Anessa AD•M is a management software developed to support the monitoring and maintenance of anaerobic digestion facilities. It is designed to help operators and managers effectively plan, track, and manage plant operations.
Alpha Robots
Alfa is an e-banking robot that helps users to do many of their tasks such as getting gift cards, money transfers, and bill payments.
Shast (60) Application
60 is a financial application, serving users with different range of online services like e-transfer, pay-bill, managing accounts.
Takhfif Bartar
Takhfif Bartar is an online retailer that provides products with high discounts. it uses Machine learning algorithm for recommendation.
Other Data Analytics Projects
Sales prediction & Customer Behavior Analysis:
*Developed a customer segmentation model based on loyalty factors using K-means clustering in Python, providing actionable strategies that increased customer retention by 15%.
*Built a sales prediction model using multiple regression algorithms (Linear Regression, Random Forest, etc.), achieving a 90% accuracy in predicting monthly sales.Spotify Most Streamed Songs:
*Analyzed a dataset of 1,000+ Spotify tracks using Python to identify the top-streamed artists and their ranking by streams, providing insights into listener preferences and trends.Cyclistic User Behavior Analysis:
*Conducted an in-depth analysis of Cyclistic's rider behavior using Python and Tableau, identifying key user segments that contributed to conversion rates. Recommended personalized marketing strategies that increased membership sign-ups.Prediction model for MBA Admission database with Random Forest algorithm
*Built a prediction model for MBA admissions using Random Forest on a dataset of 2,000 applicants, achieving 91% accuracy. The model predicted admission likelihood based on academic, demographic, and professional factors.
Contact me
Phone: +1(506) 292-2954
Email: [email protected]