Open to opportunities

Joel Thomas Zachariah

@joelthomaszachariah

Message

Data analyst passionate about leveraging analytics for impactful decision-making.

United States

Message

What I'm looking for

I seek a dynamic role that fosters collaboration and innovation, offering opportunities for growth and impactful projects.

I am a dedicated data analyst with a strong foundation in analytics and machine learning, currently pursuing a Master of Professional Studies in Analytics at Northeastern University. My academic journey has equipped me with the skills to analyze complex datasets and derive actionable insights that drive strategic decisions. I pride myself on my ability to collaborate effectively with cross-functional teams, ensuring alignment with business goals while delivering high-quality results.

In my recent role as an OPS Data Analyst at Northeastern University, I successfully accelerated admissions decisions by 30% through data analysis and automation of workflows. My experience as a Business Analyst Developer at Equitas Bank allowed me to lead the development of a loan processing platform, significantly improving processing time and data accuracy. I have a proven track record of utilizing tools like Power BI and SQL to create dashboards and reports that enhance decision-making efficiency and transparency.

Experience

Work history, roles, and key accomplishments

Current

OPS–Data Analyst

Current

Northeastern University

Sep 2024 - Present (10 months)

Accelerated admissions decisions by 30% by analyzing applications in Slate and ensuring alignment with institutional criteria. Reduced manual processing time by 20% by automating data workflows in Python and leveraging SQL for data-driven insights.

Data Analysis Python SQL Power BI Data Visualization Workflow Automation KPI Tracking Data Driven Decision Making

Business Analyst Developer

Equitas Bank

Jun 2022 - Mar 2024 (1 year 9 months)

Collaborated with cross-functional teams to develop a loan processing platform using JavaScript, PL/SQL, and Oracle DB, reducing processing time by 40% and improving data accuracy by 90%. Led performance tuning efforts using SQL Profiler and ETL tools to analyze and optimize business workflows, improving system performance by 30% and reducing query execution time by 50%.

JavaScript Pl SQL Oracle ETL Tools Power BI Jira Data Anomalies Business Intelligence KPI Tracking

Education

Degrees, certifications, and relevant coursework

Northeastern University, College of Professional Studies

Master of Professional Studies, Analytics; Concentration: Applied Machine Learning

Grade: 4/4

Pursued a Master of Professional Studies in Analytics with a concentration in Applied Machine Learning. Relevant coursework included Data Mining Application, Data Mining and Big Data, and Communication and Visualization.