Mena Hasan - Data Analyst | ContraWork by Mena Hasan
Mena Hasan

Mena Hasan

Data analyst

New to Contra

Mena is ready for their next project!

Followed by Elisa C, Mamman U, and Chiaka I
Cover image for Outcomes :
1) The average price-to-earnings
Outcomes : 1) The average price-to-earnings ratio has exceeded the target. 2) Cash on hand and stock price exhibit a strong positive correlation. 3) According to the data cards in the document, the total liabilities remain high reflecting a heavy reliance on debts relative to equity. Prediction : Based on the forecast trends in both line charts, McDonald's total revenue and total earnings are steady upward growth through 2035.
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Title Linear Regression Analysis & Predictive Modeling (SPSS) Overview Executed an end-to-end linear regression analysis in SPSS to evaluate relationships between key financial/operational metrics, assess statistical significance, and build predictive models for decision-making. Key Analysis & Process Model Fitting & Diagnostics: Evaluated the overall goodness-of-fit ($R$, $R^2$, and Adjusted $R^2$) to quantify how effectively predictor variables account for variance in the target metric. ANOVA & Significance Testing: Verified model validity using ANOVA testing ($F$-statistic, $p < 0.05$) to ensure observed linear relationships were statistically significant rather than due to random chance. Coefficient Evaluation: Analyzed unstandardized and standardized ($\beta$) regression coefficients alongside $t$-statistics and $p$-values to measure the directional impact and individual predictive weight of each independent variable. Assumption Validation: Examined residual distributions and correlation outputs to ensure linear regression assumptions (linearity, normality of residuals, and homoscedasticity) were fully satisfied. Outcome Delivered a validated predictive model and actionable statistical outputs, enabling stakeholders to forecast future outcomes based on key data-driven metrics.
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Cover image for McDonald's Nutritional & Calories Visual
McDonald's Nutritional & Calories Visual Analytics (Tableau) Overview: Developed an interactive Tableau dashboard to analyze and visualize nutritional profiles across McDonald's food products, focusing on key metrics like calorie count and trans-fat composition. Tools: Tableau Key Analysis & Process: Nutritional Breakdown: Categorized menu items to compare caloric intake and trans-fat levels across different product categories. Visual Mapping: Built custom bar charts and comparison visuals in Tableau to highlight high-density nutritional values at a glance. Outcome: Delivered a clean, visual summary that allows users and stakeholders to quickly evaluate menu items based on health and nutrition metrics.
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Cover image for Electric Vehicle Market Share Analysis
Electric Vehicle Market Share Analysis & Segmentation (Power BI) Overview: Designed a visual analytics report in Power BI to analyze Electric Vehicle (EV) sales distribution across different vehicle categories (2-Wheelers, 3-Wheelers, 4-Wheelers, Buses, and Others). This project translates raw sales metrics into categorical market share insights.Key Analysis & Process:Categorical Data Segmentation: Aggregated and grouped raw EV sales quantities by vehicle type to evaluate relative market composition.Proportional Data Visualization: Implemented a custom pie chart visual to display market share percentages and unit distributions clearly at a glance.Data (http://glance.Data) Preparation: Cleaned underlying dataset tables (Vehicle_Category, Vehicle_Class, EV_Sales_Quantity) for accurate aggregation across categories.Outcome:Delivered an intuitive visual summary that highlights category dominance—showing that 2-Wheelers represent the largest market segment ($56.2%$)—allowing stakeholders to quickly identify top revenue drivers and growth opportunities.
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