A Data Analyst with experience in project management, and data visualization. I have worked on development projects funded by organizations like the World Bank and JICA, delivering data-driven insights to support strategic decision-making. Proficient in Excel, SQL, Python, and Power BI, I excel at translating complex data into actionable solutions. I am a strong communicator and collaborator, committed to driving impactful results through thorough analysis and effective project management.
Experienced in finance, data analysis, and development projects, skilled in Excel, SQL, Python, and data visualization. Proven track record of driving data-driven insights and process optimizations in multilateral agency-funded initiatives.
AiD is an international consulting organization that provides development and management consulting services in the Engineering, Environment and Social Sectors.
Below are the sample Data Analytics projects on SQL, Python, Power BI.
Using SQL queries, I extracted insights on trends and valuations, with a particular focus on the FinTech sector.
Performed exploratory data analysis on Amazon sales data using Python to improve the customer experience.
In the "Health Project" Power BI analysis, I examined hospital data on patient care, including admissions, diagnoses, and billing. I created dashboards to analyze demographics, disease prevalence, and treatment outcomes, providing insights into patient admissions, follow-up efficiency, and financial performance to enhance decision-making and optimize care..
This project analyzes Microsoft stock data from Kaggle using SQL. Key queries focus on average prices, trading volumes, yearly trends, and price-volume relationships, uncovering patterns in stock performance.
This analysis examines a dataset of music tracks, revealing insights into artist collaborations, streaming performance, and musical features. Key findings include trends in release years, the impact of playlist appearances on streaming success, and the diversity of musical characteristics across tracks.
This project analyzes coffee sales data in Excel. Duplicates were removed, and lookup functions were used to identify trends, focusing on which coffee products are generating the most sales. The goal is to uncover key sales drivers and inform business decisions.
In the "Store Sale Analysis" Excel project, I analyzed sales data to uncover trends in store performance, using pivot tables and charts. Key findings included top-selling products, sales trends, and customer purchasing patterns, providing insights for inventory management and marketing strategies.
Analyzed social media usage to identify trends and engagement patterns, assessing performance across platforms. Key insights included audience demographics, peak activity times, and content effectiveness, informing strategies for improved reach and engagement.
Below are the details to reach out to me!
Islamabad, Pakistan
