NJOKU LOVETH CHINAZOR

Data Analyst

Port Harcourt, NG.

About

Highly skilled Data Analyst with a proven track record in leveraging SQL, Python, Power BI, and Excel to architect robust ETL pipelines, develop predictive models, and create interactive dashboards that consistently enhance reporting efficiency by over 30%. Expertly integrates business intelligence with Generative AI and workflow automation to streamline operations, reduce manual effort, and deliver actionable insights that drive strategic decision-making and identify growth opportunities.

Work

3MTT Deep-Tech DSN Nigeria

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Data Analyst Fellow

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Summary

Performed data consolidation, exploratory analysis, and reporting to support strategic decision-making within the fellowship program.

Highlights

Built robust ETL pipelines using SQL and Python, effectively consolidating diverse data from multiple disparate sources.

Executed comprehensive exploratory data analysis, identifying key risks and pinpointing significant growth opportunities.

Maintained and updated critical Power BI reports, directly supporting and influencing strategic decision-making processes.

Deep-Tech Ready Nigeria

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Generative AI Fellow

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Summary

Spearheaded the integration of Generative AI tools and workflow automation to enhance reporting and data tool connectivity.

Highlights

Integrated advanced Generative AI models, including ChatGPT and Gemini, to automate reporting and documentation processes, improving efficiency.

Developed and implemented n8n workflows, successfully connecting various AI models with critical data tools for seamless operations.

AINOW Incubator Hub

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Data Analyst

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Summary

Led data analysis initiatives at AINOW Incubator Hub, focusing on automation, predictive modeling, and dashboard development to significantly enhance reporting efficiency and data reliability.

Highlights

Automated data cleaning processes using Python and Power Query, successfully reducing manual preprocessing time by over 30%.

Developed and implemented advanced predictive forecasting models in Python, providing critical insights for identifying emerging market trends.

Constructed dynamic Power BI dashboards, incorporating DAX and Python visuals, which improved reporting efficiency by a confirmed 30%.

Engineered and deployed comprehensive data validation routines, substantially enhancing overall dataset reliability and integrity.

Ladies in Tech Africa

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Junior Data Analyst

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Summary

Provided foundational data analysis support, focusing on SQL querying, statistical analysis, and report optimization to inform business decisions.

Highlights

Authored complex SQL queries utilizing JOINs, CTEs, and window functions to extract and analyze data for diverse business teams.

Applied rigorous statistical analysis methodologies to accurately identify market and product trends, guiding strategic product decisions.

Redesigned and optimized Excel reports with advanced PivotTables, significantly reducing report delivery time by 25%.

Education

University of Port Harcourt, Nigeria

Port Harcourt, Rivers State, Nigeria
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B.Sc. Human Anatomy Grade:

Languages

English

Certificates

Data Analysis and Visualization

AINOW Incubator Hub

Generative AI Fellowship

3MTT Deep-Tech

Data Analysis Fellowship

3MTT DSN Nigeria

Skills

Data Analytics

Power BI, Excel, Power Query, DAX, Looker Studio, KPI Reporting, Data Cleaning, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Data Storytelling.

Programming

Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn.

Databases

SQL Server, MySQL, ETL, Data Modeling, JOINs, CTEs, Window Functions.

Automation

Generative AI, ChatGPT, Gemini, n8n, Workflow Automation.

Projects

Enterprise Business Performance Analysis - SQL

Summary

Analyzed Adventure Works Cycles dataset to identify key categories driving revenue and business performance.

Retail Profitability Optimization - Excel

Summary

Developed Excel dashboards to identify high-margin products and analyze unprofitable shipping routes for retail operations.

Corporate Operations Dashboard - Power BI

Summary

Designed and implemented a Power BI dashboard with a star schema model to visualize and analyze corporate sales data.

Predictive Classification - Python

Summary

Utilized Python libraries Pandas and Scikit-learn to perform classification analysis for predictive modeling.