Data Analyst with a passion for analyzing and interpreting data to address real-world problems and promote business success. Excellent communication skills: oral and written, goal oriented, highly collaborative with a wi…
Data Analyst with a passion for analyzing and interpreting data to address real-world problems and promote business success. Excellent communication skills: oral and written, goal oriented, highly collaborative with a willingness to learn and simplify complex processes
● Conducted in depth marketing data analysis using data sampling, regression, hypothesis testing to determine reason for increase in MRI and IPTs conducted by 17 of PROCO’s Clinics
● Integrated data from Salesforce to Power Bi to create comprehensive reports and dashboards to communicate marketing performance metrics to stakeholders ultimately improving data-driven decision making by 15%
● Utilized software tools like Python for regression analysis, predictive modelling to optimize marketing strategies which led to increasing return on return on investment by 35 %
● Conducted A/B testing to evaluate the effectiveness of 30+ campaigns and recommend improvements to the marketing department
<p>Conducted in depth marketing data analysis using data sampling, regression, hypothesis testing to determine reason for increase in MRI and IPTs conducted by 17 of PROCO’s Clinics<br>
Integrated data from Salesforce to Power Bi to create comprehensive reports and dashboards to communicate marketing performance metrics to stakeholders ultimately improving data-driven decision making by 15%<br>
Utilized software tools like Python for regression analysis, predictive modelling to optimize marketing strategies which led to increasing return on return on investment by 35 %<br>
Conducted A/B testing to evaluate the effectiveness of 30+ campaigns and recommend improvements to the marketing department</p>
<p>Analyzed data with SQL to filter entries in dataset showing yearly trends from pre COVID and post COVID time periods to identify revenue changes between both years<br>
Created graphs using ggplot2 in R and Tableau to present the results of monthly traffic for Lakeshore, Oneida Lake, Salmon River and Tug hill whilst identifying the months with the highest and lowest lodging rate<br>
Constructed charts and interactive dashboards using AWS Quicksight to display simplistically the highest revenue for each month and presented to Stakeholders on Power Point<br>
Interpreted data using Microsoft excel to communicate the reason for variances in the length of stay for customers in each region</p>
<p>Collected, cleaned, and analyzed data from the Office of International Students using SQL and Cloud DataPrep to predict the effect of COVID on international students’ admissions application<br>
Designed surveys and opinion polls to collect relevant data for proposing alternative ways to support study abroad students with transitioning post COVID<br>
Used Google analytics API to automatically collect and analyze data to provide insights for debugging system integrations, improving operating efficiency by 15%<br>
Prepared and Recommended data driven solutions to management for requesting an increase in the departments yearly budget leading to a 24% budget increase</p>
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