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