As a Data analyst, I specialize in transforming data into actionable insights that drive business decisions. With data analysis, visualization, and reporting expertise, I help organizations understand their data, identify trends, and uncover growth opportunities. I am proficient in using tools such as SQL, Tableau and Power BI to create interactive dashboards and reports that provide clear and concise information to stakeholders. My analytical skills, combined with a strong business acumen, enable me to bridge the gap between technical data and strategic business objectives, ensuring data-driven success for my client
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Excel
Power BI
Python
SQL
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Objective: This project analyzes the nutritional content of McDonald's menu items (e.g., calories, fat, sugar, carbs) to uncover trends, identify unhealthy items, and compare categories.
Key Questions Explored: Which categories have the highest fat/sugar/carbs?, Are there "hidden sugar traps" in seemingly healthy items?, How do meal combos compare to daily recommended nutrient limits
Objective: This project analyzes Airbnb listings in New York City for the year 2019. The primary goal is to demonstrate strong data cleaning and exploratory data analysis (EDA) skills. Using Python, we uncover trends, identify data quality issues, and draw insights that can be useful for both hosts and potential guests.
Objective: This Power BI project explores a synthetic retail sales dataset, simulating a realistic retail environment with transactional and customer demographic data. The goal of this project is to apply exploratory data analysis (EDA) techniques to uncover key business insights and consumer patterns through data cleaning, modeling, DAX calculations, and dynamic visualizations.
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This IBM Professional Certificate is earned after successfully
completing 9 courses on various topics in Data Analytics. I got it after I
understands the core principles of data analysis and has worked
hands-on with a variety of data sources, project scenarios, and data
analysis tools, including Excel, SQL, Relational Databases, Python,
Jupyter Notebooks, and Cognos Analytics, gaining practical experience
with data manipulation, data analysis, and data visualization.
Learnt to think algorithmically and solve problems efficiently. It included abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Gained problem-solving skills in algorithms, data structures, and web development using C, Python, SQL, JavaScript, HTML, and CSS.Applied knowledge to real-world domains, including finance, cryptography, and forensics.
Learnt to think algorithmically and solve problems efficiently. It included abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Gained problem-solving skills in algorithms, data structures, and web development using C, Python, SQL, JavaScript, HTML, and CSS.Applied knowledge to real-world domains, including finance, cryptography, and forensics.
Thank you for taking the time to review my work.