Ijabani Festus

Data Analyst with 2+ years of experience analyzing healthcare, retail, and marketing data. Strong background in Statistics with hands-on expertise in SQL, Python, Power BI, and Excel. Experienced in cleaning and modeling datasets up to 10,000+ records and building dashboards that guide targeting, forecasting, and performance tracking. Skilled at translating business questions into measurable insights.

Data Analyst - Remote at Lluvia Health Organization (2024-03 – Present)

• Cleaned and structured 386+ healthcare beneficiary records using Excel and Python to identify food insecurity patterns and household vulnerability trends.
• Generated insights on meal access, coping strategies, and distribution coverage, enabling program teams to refine beneficiary targeting.
• Designed KoboTool box data collection workflows with validation rules and skip logic, improving field data accuracy and reducing submission errors.
• Monitored enumerator submissions in real time and exported analysis-ready datasets to SQL and Power BI for reporting.
• Built dashboards to track beneficiary demographics and intervention reach for decision-making.

Data Analyst - Remote at HNG Tech (2024-01 – 2024-03)

• Collected, cleaned, and analyzed large datasets to uncover insights aligned with business objectives.
• Developed interactive dashboards using Tableau and Power BI to visualize key performance indicators and track trends.
• Collaborated with cross-functional teams to identify opportunities for process improvements through data analysis.
• Strengthened SQL proficiency by writing complex queries for data extraction, transformation, and reporting.
• Supported the development of predictive models to improve forecasting accuracy and inform strategic decisions.

Bachelor of Science in Statistics – University of Abuja

Diploma in Data Analysis/ Data Science – Artificial Intelligent Technology (2024-05 – 2024-11)

Specialization in Machine Learning Specialization – Coursera