Motivated teamwork-oriented & responsible Data Analyst with significant experience in increasing comprehension of detailed reports to increase revenue. Energetic presenter and confident communicator with the ability to c…
Motivated teamwork-oriented & responsible Data Analyst with significant experience in increasing comprehension of detailed reports to increase revenue. Energetic presenter and confident communicator with the ability to circulate information clearly, efficient & beneficial for end users. Seeking opportunities where I can utilize my analytical, mathematical, and technical skills to solve real-life problems related to analyzing a big volume of datasets to draw insights that can help with business decisions. I believe in transferring the knowledge because
Reviewed and updated marketing, sales, financial, and project management KPIs, working with leadership to meet overall goal of a 5% increase in customer retention.
Built a logistic regression model to help the SEO team decide which keywords to target, resulting in a 15% lift in site visitors & boosting successful sales efforts by 12%.
Created clusters in Python to identify inactive clients likely to require future service, providing insight to marketing and sales teams to increase renewals by 8%.
Worked closely with the engineering and business team using scrum/agile methodology.
• Built out the data models & reporting infrastructure from the ground up using Power
BI & SQL to provide real-time insights into the product & business KPIs.
• Evaluation & analysis of client’s dataset using, Normal & T-distribution. Removed
outliers using Python and Pandas.
• Received, cleaned, and prepped data from client using Python, SQL, and Power BI to
help data scientists build marketing mix models that lifted ROI by 4 basis points.
Built out the data models & reporting infrastructure from the ground up using Power BI & SQL to provide real-time insights into the product & business KPIs.
Evaluation & analysis of client’s dataset using, Normal & T-distribution. Removed outliers using Python and Pandas.
Received, cleaned, and prepped data from client using Python, SQL, and Power BI to help data scientists build marketing mix models that lifted ROI by 4 basis points.
Reviewed and updated marketing, sales, financial, and project management KPIs, working with leadership to meet the overall goal of a 5% increase in customer retention.
Built a logistic regression model to help the SEO team decide which keywords to target, resulting in a 15% lift in site visitors & boosting successful sales efforts by 12%.
Created clusters in Python to identify inactive clients likely to require future service, providing insight to marketing and sales teams to increase renewals by 8%.
Worked closely with the engineering and business team using scrum/agile methodology.
Built out the data models & reporting infrastructure from the ground up using Power BI & SQL to provide real-time insights into the product & business KPIs.
Evaluation & analysis of client’s dataset using, Normal & T-distribution. Removed outliers using Python and Pandas.
Received, cleaned, and prepped data from client using Python, SQL, and Power BI to help data scientists build marketing mix models that lifted ROI by 4 basis points.
• Reviewed and updated marketing, sales, financial, and project management KPIs,
working with leadership to meet overall goal of a 5% increase in customer retention.
• Built a logistic regression model to help the SEO team decide which keywords to target,
resulting in a 15% lift in site visitors & boosting successful sales efforts by 12%.
• Created clusters in Python to identify inactive clients likely to require future service,
providing insight to marketing and sales teams to increase renewals by 8%.
• Worked closely with the engineering and business team using scrum/agile
methodology.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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