A mid-level data analyst with more than 4 years of experience with a strong background in statistical analysis and data manipulation. Skilled in extracting insights from large datasets and effectively
communicating findi…
A mid-level data analyst with more than 4 years of experience with a strong background in statistical analysis and data manipulation. Skilled in extracting insights from large datasets and effectively
communicating findings to stakeholders. Strong problem-solving abilities and a proven track record of contributing to data-driven decision-making
Performed data cleaning, visualization and analysis for datasets
Used Excel and necessary libraries for data cleaning and analysis in Python, including pandas, matplotlib, and seaborn
Completed a simulation focused on advising a client on customer targeting with the Data, Analytics & Modelling team
Assessed data quality and completeness in preparation for analysis
Analyzed data to target high-value customers based on demographics and attributes
Developed dashboards to communicate findings with visuals
Used Excel to prepare and clean data for analysis, including data type conversions, column deletion, and handling missing or duplicate data
Created an interactive sales dashboard using Tableau
Used Python to clean data and built a high-accuracy classification model for diagnosing diabetes using logistic regression algorithms
Used Excel to clean data by removing duplicates, handling missing data, and performing necessary transformations
Developed an interactive dashboard using Tableau for data visualization
Worked on database to extract, joint, modify and add information
Built dashboards for data visualizations using Excel
Conducted the results of students using Excel sheets, data visualization, representation and wrote reports
Performed data analysis for projects
Gave consultations for researchers about sample size, sampling techniques and data collection tools
Created visually beautiful data visualizations, including charts and graphs, to effectively communicate complex information to stakeholders using Tableau and Excel
Implemented data cleaning and preprocessing techniques to ensure data quality and consistency using Python, SQL, SPSS and Excel
Performed data analysis and extracted powerful insights to drive business decision-making
Used statistical techniques and predictive modeling to identify trends, patterns, and opportunities for process optimization and improvement
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