As a business intelligence analyst with extensive training from the Y Combinator Startup School and Founders Institute, I have gained a unique perspective on business and data analysis. My experience has equipped me with…
As a business intelligence analyst with extensive training from the Y Combinator Startup School and Founders Institute, I have gained a unique perspective on business and data analysis. My experience has equipped me with the skills and knowledge necessary to thrive in fast-paced startup environments, and I am passionate about using data to drive business decisions.
Throughout my career, I have honed my ability to analyze complex data sets and extract actionable insights. I am well-versed in a variety of data analysis tools and techniques, and I am comfortable working with large volumes of data from diverse sources
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
• Analysed data to target high-value customers based on demographics and attributes
• Developed dashboards to communicate findings with visuals
<p>Completed a job simulation where I strengthened my PowerBI skills to better understand clients and their data visualisation needs<br>
Demonstrated expertise in data visualization through the creation of Power BI dashboards that effectively conveyed KPIs, showcasing the ability to respond to client requests with well-designed solutions<br>
Strong communication skills reflected in concise and informative email communication with engagement partners, delivering valuable insights and actionable suggestions based on data analysis</p>
<p>Completed a simulation involving creating data visualizations for Tata Consultancy Services<br>
Prepared questions for a meeting with client senior leadership<br>
Created visuals for data analysis to help executives with effective decision making</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>
Analysed data to target high-value customers based on demographics and attributes<br>
Developed dashboards to communicate findings with visuals</p>
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