Data Analyst with less than a year in Power BI, SQL, and Python
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Mission-driven Junior Data Analyst based with specialist skills in Power BI dashboard development, SQL data extraction and data cleaning, python analysis with direct experience applying data analysis across various sectors in Nigeria. Committed to translating complex business datasets into clear, actionable decision-support tools that help organizations improve outcomes, reduce inefficiencies, and serve communities better. Onsite-ready and immediately available to contribute to health-tech, NGO, fintech, or multinational teams in home and abroad seeking a dedicated, analytically rigorous junior analyst.
Chukwu Emeka Odumegwu Ojukwu University, Anambra, Nigeria
B.Sc. · Mass Communication
August 1, 2022 – June 30, 2026
Tech Studio Academy
Graduate · Data Analytics
N/A – Present
Nigeria Malaria Trend Analysis
June 19, 2026 – Present
Analyzed 50,000+ malaria case and mortality records across Nigeria using Python (Pandas) to identify incidence trends and high-burden states between 2015 and 2022 — directly relevant to digital health reporting needs. Applied Pearson correlation analysis and descriptive statistics to quantify the relationship between case volume and seasonal rainfall periods, producing Matplotlib visualizations suitable for NGO and government reporting. Built a Google Sheets stakeholder report with automated summary formulas replicating the structured data delivery format used by public health organizations such as eHealth4everyone and NMCP.
Retail Sales Performance Dashboard
June 19, 2026 – Present
Designed a Power BI dashboard tracking sales performance across 6 product categories, enabling management to isolate loss-making SKUs and reallocate resources — cutting estimated reporting time by 65%. Wrote SQL queries to extract and clean 3 years of transactional records, joining multiple tables and handling data quality issues before loading structured output into Power BI via Power Query. Identified a repeating seasonal demand pattern through trend analysis, documenting findings in a formal stakeholder report with clear charts and data-backed recommendations.
PROCUREMENT & SUPPLY CHAIN ANALYTICS
June 19, 2026 – Present
Analyzed procurement, transportation, and shipment operations data to identify causes of delivery delays, rising transportation costs, and operational inefficiencies. Conducted route efficiency analysis to identify high-delay routes, bottlenecks, and delivery performance trends across multiple cities. Evaluated transportation and fuel expenses to identify major cost drivers and opportunities for cost reduction. Analyzed the relationship between delivery distance, transportation cost, and delivery duration to support logistics optimization initiatives. Performed customer payment analysis to identify unpaid shipments, outstanding revenue exposure, and customer payment patterns. Assessed high-priority shipment performance and measured delivery effectiveness across transport modes and service levels. Designed and developed interactive Power BI dashboards featuring KPIs, trend analysis, operational monitoring, cost analysis, and executive reporting. Created executive-level performance metrics including Delivery Success Rate, Delay Percentage, Average Delivery Days, Transportation Cost, Fuel Cost, Unpaid Shipment Percentage, and High-Priority Delivery Success Rate. Generated actionable business insights and strategic recommendations to reduce delivery delays, improve route efficiency, optimize transportation spending, and enhance customer satisfaction.
Tech_Studio Data Analytics Professional Certificate
Tech Studio Academy
January 1, 2026 – Present
Microsoft Power BI Data Analyst
Microsoft
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows diversity in application domains (retail sales, public health, supply chain), indicating adaptability and a broad interest in applying data analysis to different business problems. The stated commitment to 'mission-driven' work and improving outcomes aligns with a positive cultural fit for organizations focused on impact. The target role of Data Analyst aligns well with the demonstrated skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, report writing, and stakeholder communication skills through project descriptions. Their availability for onsite and hybrid roles, along with familiarity with collaboration tools like MS Teams and Google Workspace, indicates good operational fit. The use of LLM tools suggests an openness to leveraging modern technologies for efficiency.