Skills
Microsoft Excel & Google Spreadsheet
I honed my proficiency in Microsoft Excel/Spreadsheets, mastering techniques such as data cleaning, pivot tables, VLOOKUP and XLOOKUP functions, descriptive statistics, hypothesis testing, correlation analysis, and deriving insights and recommendations from data analysis. This expertise in Excel allowed me to effectively manipulate and analyze data, providing valuable insights and actionable recommendations for decision-making purposes.
SQL
I developed strong proficiency in SQL, including SQL aggregate functions, date manipulation, joins, and window functions. Additionally, I gained experience in cohort analysis and using SQL to derive insights and make recommendations based on data analysis.
Python
I acquired advanced proficiency in Python for data analysis, encompassing skills in data cleaning, scaling, applying clustering algorithms like the Elbow Method and Silhouette Method, conducting correlation analysis, performing logistic regression, and conducting benefit-cost analysis. These skills enabled me to derive actionable insights and make informed recommendations based on comprehensive data analysis.
Tableau
I developed strong proficiency in Tableau, which involved tasks such as data cleaning, blending and combining datasets, creating calculated fields, utilizing parameters and filters, and crafting impactful visualizations. This expertise empowered me to translate complex data into compelling visual stories, enabling me to derive actionable insights and make informed recommendations based on thorough analysis.
Proficient
Soft Skills
1
Agile
2
Analytical Thingking
3
Collaborative
4
Data Communication
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During my time at Revou, I immersed myself in an intensive online course covering full-stack data analytics. This comprehensive program included practical assignments, collaborative learning, and expert guidance, which equipped me with a diverse skill set necessary for success in data analytics.
I have developed proficiency in defining business questions, cleaning and interpreting data, creating visualizations, extracting insights, and making recommendations using tools such as Spreadsheet/Excel, SQL, Python, Looker, and Tableau. These skills have prepared me to leverage data effectively for strategic decision-making in practical business settings.
When approaching a new data set or problem, I start by understanding the context and defining clear objectives. I then proceed with data cleaning and exploratory analysis to identify patterns and insights. I enjoy applying statistical methods and data visualization techniques to derive meaningful conclusions.
I am proficient in using tools like Tableau and Looker to create impactful visualizations that communicate complex insights clearly. For example, in my course projects, I have developed interactive dashboards to present findings and trends from data analysis.
I prioritize data accuracy and completeness by employing techniques such as data imputation and validation. In situations where data is incomplete, I leverage statistical methods to make informed decisions and mitigate risks.
I have experience translating technical findings into actionable insights for non-technical stakeholders. For instance, I have prepared concise reports and presentations that effectively convey data-driven recommendations to senior management.
During my course, I collaborated with peers on group projects that involved data analysis. I played a key role in data preparation, analysis, and visualization, demonstrating my ability to work effectively within cross-functional teams.
I believe in continuous improvement, and I view mistakes as opportunities for learning and growth. For instance, in one project, I initially overlooked a key data source, but I quickly rectified the error by recalibrating my approach and validating the data to ensure accuracy.