Emmanuel Azubuike

Data Analyst | AI Project Support

LinkedIn

About

Detail-oriented Data Analyst with a strong foundation in pharmaceutical protocols and 3 years of industry experience, now specializing in advanced data analytics and visualization. Proficient in Python, SQL, Power BI, and AI tools, I leverage a keen eye for detail to transform complex datasets into actionable insights. Eager to apply robust problem-solving and data integrity skills to drive impactful AI-driven projects and optimize data-centric operations.

Work Experience

3MTT-Deeptech_Ready Fellow – Technical Training – Advanced Data Analytics and Visualization

NITDA / Federal Government of Nigeria

Mar 2025 - Sep 2025

Nigeria, NG

Led advanced data analytics and visualization projects, transforming raw data into actionable insights and interactive dashboards to support strategic decision-making.

  • Transformed complex raw datasets using Power Query and advanced data modeling techniques, developing interactive Power BI dashboards that enhanced data accessibility and decision-making.
  • Optimized relational databases (PostgreSQL, MySQL) through SQL-based joins, aggregations, and subqueries, significantly improving data retrieval efficiency and query performance.
  • Generated critical insights from medical and climate datasets using Python (Matplotlib, Seaborn, Plotly), creating statistical and animated visualizations that clarified complex trends.
  • Automated reporting processes by designing and deploying Power BI dashboards with stored procedures, views, and Role-Based Access (RLS), improving report generation efficiency and data security.
  • Delivered weekly data analytics assignments, including KPI dashboards and time-series forecasts, providing actionable insights that supported strategic planning and operational improvements.

Pharmaceutical Industry Apprentice

Loz Pharmaceutical limited

Jan 1998 - Dec 2001

Port Harcourt, Rivers State, NG

Supported clinical operations and managed pharmaceutical inventory, ensuring accuracy and compliance with medical and regulatory protocols.

  • Ensured meticulous adherence to medical and regulatory protocols, reviewing prescriptions for accuracy and compliance to maintain patient safety and operational integrity.
  • Managed comprehensive manual inventory of drug stocks, maintaining accurate records and optimizing supply tracking to support efficient pharmaceutical operations.
  • Handled daily cash sales and reconciled bank deposits, demonstrating strong financial management and accountability for transactions.
  • Collaborated effectively with healthcare professionals, including a nurse, two pharmacists, and a doctor, to support patient care and medication dispensing in a clinical setting.

Education

Information Technology

Sikkim Manipal University and Technology

Jan 2017 - Dec 2017

Gangtok, Sikkim, IN

Certificates

Career Essentials in Generative AI

Microsoft and LinkedIn

Jan 2025

Accenture Data Analytics and Visualization Job Simulation

Forage

Jan 2024

Data Analytics – HR Attrition Analysis

Forage

Jan 2024

Master Data Analyst MDA

10Alytics Training Institute

Jan 2024

Languages

English (Fluent) , Hausa (Fluent) , Yoruba (Basic)

Skills

Business Intelligence

  • DAX
  • M Language (Power Query)
  • Interactive Dashboards
  • Automated Reporting
  • Role-Based Access (RLS)

Data Governance & Compliance

  • Data Ethics
  • GDPR
  • HIPAA
  • CCPA
  • Data Privacy Regulations

Transferable Skills

  • Attention to Detail
  • Problem-Solving
  • Data Annotation
  • Fact-Checking
  • Regulatory Compliance
  • Inventory Management
  • Financial Handling
  • Cross-functional Collaboration
  • Clinical Support

Data Analysis

  • Power BI
  • Excel
  • Google Colab
  • Jupyter Notebook
  • Data Modeling
  • Data Visualization
  • KPI Dashboards
  • Time-Series Forecasting
  • Segmentation Analysis
  • Paginated Builder
  • ETL
  • Data Storytelling

Databases

  • PostgreSQL
  • MySQL
  • SQL
  • Relational Databases
  • Database Optimization
  • Stored Procedures
  • Views
  • Aggregation Tables

Programming

  • Python
  • SQL
  • Pandas
  • Seaborn
  • Matplotlib
  • Plotly
  • Dash