I am a data analyst with experience in using various tools and technologies to organize, collect, analyze and visualize data to inform business decisions. I have a solid understanding of data analytics techniques such as dashboard building, report writing, data mining, data merging, statistics, and critical thinking.
Creating a structured collection of data for efficient data management, which includes defining the schema, selecting a management system, creating and populating the database, and optimizing its performance.
Cleaning, transforming, and preparing raw data by removing irrelevant or duplicate data, correcting errors, handling missing values, converting data types, and reshaping data into a suitable format.
To discover meaningful patterns and relationships in the data through identifying the research question, collecting and cleaning the data, exploring and visualizing the data and conducting statistical analysis.
Use of visual formats like charts, graphs, and maps to help people understand and analyze data more easily, with the goal of communicating complex data insights quickly and effectively.
Highly proficient in a wide range of Excel functions including VLOOKUP, INDEX-MATCH, SUMIF, COUNTIF, and pivot tables, with a proven ability to use these tools to analyze complex data and derive meaningful insights.
Proficient in Python for data analysis, machine learning, web scraping, and automation, with expertise in libraries such as NumPy, Pandas, MatPlotLib, Seaborn, Scikit-Learn and BeautifulSoup.
Expertise in writing complex queries, designing and managing databases, and using SQL to extract and analyze large datasets, resulting in streamlined data processing and informed decision-making.
Proficient in Tableau for data visualization, with expertise in creating interactive dashboards and visualizations that effectively communicate complex data insights to both technical and non-technical stakeholders.
