My Story
I hold a bachelor's degree in Industrial and Manufacturing Engineering. After completing my degree, I chose to serve in the military for a noble cause. Unfortunately, fate intervened, and due to an injury, I had to retire from service. During my studies, I developed a strong foundation in statistics, applied mathematics, and artificial intelligence, with a particular focus on data for process analysis and business process improvement cycles.
After my military service, I returned to pursue a career in data analytics, a field closely aligned with my academic background. I have since completed multiple internships with esteemed companies, including KPMG Australia and British Airways. Currently, I am working as a Marketing Operations Analyst with an American SaaS-based company.
In addition to my passion for data analytics, I have strong oratory skills and enjoy debating on topics that impact society and youth. My debating prowess has been recognized at regional and national levels, where I’ve represented my school and won first prize in a university competition. Outside of academics, I actively participate in sports like football and table tennis.
Shoaib Hassan
Experience
Certifications
Portfolio
Customer Analysis
Conducted customer analysis, which involved examining customer demographics such as gender, wealth segment, geographical location, industry, and age.
Type: Data Visualization | Tools: Google Sheets / Power BI
Sales Dashboard
Developed a sales dashboard that highlights key metrics such as sales, profits, orders, products with profits or losses, top customer cities, and detailed sales segmentation and categorization.
Type: Data Visualization | Tools: Microsoft Excel / Power BI
Global Terrorism
Created a dashboard analyzing terrorism data from the past 30 years, key metrics include total attacks, attacker groups, citizens killed and wounded, and property loss.
Type: Data Visualization | Tools: Excel / Power BI
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Prediction Modeling
Performed advanced data collection and cleaning techniques, and developed machine learning model to predict sales using customer sales data.
Type: EDA & Visualization | Tools: PyCharm
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