Projects
Diving Deeper into My Projects"
Akademiska Hus
Akademiska Hus, a property company, wanted to optimize energy consumption and improve indoor air quality in their buildings.
- Approach:
- Used sensors to collect CO2 level data across different rooms, floors, and times of day.
- Employed Tableau to create interactive dashboards visualizing CO2 concentration trends.
- Analyzed data to identify areas and times with the highest CO2 levels, correlating them with room occupancy and ventilation patterns.
- Outcomes:
- Pinpointed areas with consistently high CO2 levels, suggesting potential ventilation issues or overcrowding.
- Provided data-driven recommendations for optimizing ventilation schedules, room usage, and building management systems to improve air quality and energy efficiency.
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Weather Data Analysis
- To gain experience in data cleaning, analysis, and visualization using Python
- Approach: Obtained historical weather data for Stockholm spanning 20 years.
- Used Python (with Pandas and NumPy) to clean, organize, and analyze the data.
- Explored temperature trends, wind speeds, and precipitation patterns and identified anomalies across seasons.
- Created visualizations (maps, graphs) to effectively communicate findings.
- Outcomes: Identified the hottest and coldest months on record, the windiest periods, and unusual weather patterns.
- Developed skills in data manipulation, analysis, and visualization using Python.
- Created a compelling data story showcasing the insights derived from the analysis.
Joina (Sports App)
Challenge: Joina, a sports app, was experiencing high churn rates. To improve engagement and retention, they needed to understand user behaviour.
- Approach: Utilized Mixpanel to analyze user data, focusing on key actions, feature usage, and drop-off points.
- Segmented users based on demographics, behaviour, and engagement levels.
- Conducted cohort analysis to track user retention over time.
- Compare Joina’s user engagement with competitors to identify best practices.
- Outcomes: Identified key factors contributing to churn, such as lack of personalized content and infrequent app usage.
- Developed data-driven recommendations for improving onboarding, personalization, and engagement features.
- Presented findings and recommendations to the Joina team, providing actionable insights to improve user retention.
I am Zahra Dasizadeh Data Analyst Hyper Island Student Seeking Internship
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“I can help you analyze customer data, identify trends, improve efficiency, and gain valuable insights to drive strategic decision-making.”