Open to opportunities

Saija Alli

@saijaalli

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Senior Business Data Analyst with expertise in predictive modeling.

Zimbabwe

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What I'm looking for

I seek a role that challenges my analytical skills and fosters growth in a collaborative environment.

I am a dedicated Senior Business Data Analyst with a strong background in data analytics and machine learning. My experience includes spearheading the development of customer churn prediction models and creating comprehensive dashboards that track financial KPIs. At Bank of America, I led a cross-functional team to implement an A/B testing framework that significantly increased mobile banking adoption.

Previously, I worked at HSBC, where I architected a machine learning-based anomaly detection system that reduced fraud detection time by 60%. My analytical skills have enabled me to develop time series forecasting models and automated reporting systems that save significant man-hours and improve business strategies. I am passionate about leveraging data to drive business decisions and enhance customer experiences.

Experience

Work history, roles, and key accomplishments

Senior Business Data Analyst

Bank of America

Jan 2024 - Present (1 year 5 months)

Spearheaded development of customer churn prediction model, analyzing 1M+ customer records to identify at-risk accounts, resulting in 25% improvement in retention through targeted interventions. Engineered comprehensive Power BI dashboards integrating data from 5 different sources to track financial KPIs, enabling real-time monitoring of $2B+ in transactions and reducing reporting lag by 80%.

Power BI Data Integration Customer Segmentation

Senior Business Analyst

HSBC

Nov 2018 - Present (6 years 7 months)

Architected machine learning-based anomaly detection system analyzing 100K+ daily transactions, reducing fraud detection time by 60% and false positives by 35%, saving approximately $3M annually. Developed time series forecasting models using Python, analyzing 5 years of financial data to predict market trends with 84% accuracy, enabling proactive business strategy adjustments.

Machine Learning Anomaly Detection Python Time Series Statistical Analysis

Business Analyst

Citibank & AT&T

Jul 2015 - Present (9 years 11 months)

Analyzed 500K+ monthly financial transactions and customer interactions using SQL and Python, identifying patterns that led to 35% reduction in fraudulent activities and improved regulatory compliance (Basel, GDPR) reporting by 40%. Developed comprehensive data analytics dashboard monitoring 20+ KPIs across customer service metrics, resulting in 25% improved SLA adherence and reduction in average

SQL Python Data Analytics KPIs Customer Feedback Analysis

Education

Degrees, certifications, and relevant coursework

University of Central Missouri

Master of Science, Data Analytics

Pursued a Master of Science in Data Analytics, focusing on advanced statistical methods and machine learning techniques. Gained expertise in predictive modeling, data visualization, and business intelligence tools.

Princeton Engineering of Technology for Women

Bachelor of Engineering, Computer Science

Completed a Bachelor of Engineering in Computer Science, covering core concepts such as programming languages, algorithms, and data structures. Developed foundational skills in software development and problem-solving.