Emmanuel

CHINEDU EMMANUEL OBIAJULU
Data Analyst | Business Intelligence | Machine Learning Analytics

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GitHub: github.com/objemmanuel

PROFESSIONAL SUMMARY
Results-driven Data Analyst with 6+ years of experience transforming complex datasets into actionable business
insights across fintech, blockchain, and AI sectors. Proven expertise in statistical analysis, predictive modeling,
and business intelligence, with a track record of improving operational efficiency by 40% and reducing
reporting time by 50%. Specialized in leveraging Python, SQL, Power BI, and machine learning algorithms to
drive data-driven decision-making and revenue growth. Expert in ETL pipeline development, data visualization,
and cross-functional collaboration with executive leadership.

TOOLS AND TECHNOLOGIES
Data Analysis & Visualization
Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) • SQL (MySQL, PostgreSQL) • Power BI • Tableau
• Excel (Advanced) • Google Analytics

Machine Learning & Statistics
Supervised Learning • Classification Algorithms • Regression Analysis • Time Series Forecasting • Predictive
Modeling • Feature Engineering

Data Engineering
ETL Pipeline Development • Data Warehousing • API Integration • Data Cleaning & Validation

Tools & Platforms
Git/GitHub • Jupyter Notebook • Jira • Google BigQuery • AWS S3

PROFESSIONAL EXPERIENCE

Data Analyst

AREA50 AI Firm | Remote | Mar 2025 – Oct 2025
 Analyzed 50,000+ resume datasets using Python (Pandas, NumPy) to develop ML-driven job matching
algorithms, increasing candidate-job match accuracy by 45%

Designed and implemented automated ETL pipelines processing 10,000+ daily records, reducing data
processing time from 4 hours to 35 minutes (85% improvement)

Built interactive Power BI dashboards tracking 25+ KPIs including user engagement metrics, conversion
rates, and system performance indicators for C-suite executives

Performed statistical analysis and A/B testing on user behavior data, identifying 3 critical UX
improvements that increased user retention by 32%

Conducted exploratory data analysis (EDA) on job market trends, producing weekly reports that informed
product strategy and resulted in 28% revenue growth

Developed predictive models using Scikit-learn with 89% accuracy for resume quality scoring and job
application success prediction

Collaborated with cross-functional teams to translate complex analytical findings into actionable business
recommendations, influencing $500K+ in strategic decisions

Cleaned and validated datasets of 100,000+ records, improving data quality scores from 72% to 96%
through rigorous data governance protocols

Data Analyst

Brainmatrixtech | Remote | Nov 2023 – Dec 2024

Engineered comprehensive BI dashboards analyzing blockchain transactions worth $50M+ daily,
providing real-time insights into token performance, market volatility, and trading patterns

Designed and deployed 15+ Power BI and Tableau dashboards for crypto analytics platforms, tracking
40+ financial metrics and reducing executive reporting time by 60%

Performed advanced statistical analysis on cryptocurrency market data (5M+ data points), identifying
trading patterns that generated 22% improvement in algorithmic trading performance

Built automated data pipelines integrating multiple APIs and blockchain data sources, processing 2TB+ of
data monthly with 99.7% accuracy

Conducted cohort analysis on 100,000+ users, segmenting customer base into 8 distinct groups and
recommending targeted strategies that increased customer lifetime value by 35%

Developed time series forecasting models using Python (ARIMA, Prophet) predicting market trends with
82% accuracy over 30-day periods

Collaborated with AI research teams to validate ML model outputs, performing hypothesis testing and
statistical validation on 20+ analytical models
 Created data quality frameworks and validation rules that improved reporting accuracy from 78% to 95%,
reducing decision-making errors by 40%

Led weekly data review sessions with stakeholders, presenting insights through data storytelling
techniques that influenced $2M+ in strategic investments

Data Analyst

Global Artisans Services Ltd | Awka, Nigeria | Feb 2020 – Dec 2020

Performed statistical analysis on operational data (50,000+ records), identifying inefficiencies that
reduced operational costs by 30% and improved productivity by 25%

Designed and implemented 10+ Power BI dashboards tracking business KPIs including revenue metrics,
inventory turnover, and employee performance

Conducted regression analysis on sales data (3 years historical), developing forecasting models with 85%
accuracy for inventory planning

Built automated data collection and ETL pipelines integrating multiple data sources (ERP, CRM, Excel),
processing 5,000+ records daily

Analyzed customer behavior data to identify purchasing patterns, resulting in targeted marketing
strategies that increased sales by 22%

Developed KPI frameworks tracking 25+ business metrics, providing real-time visibility into operational
performance for executive leadership

Performed data mining on customer datasets (10,000+ customers), segmenting markets and identifying 3
new revenue opportunities worth $200K+

Created comprehensive analytical reports using advanced Excel (pivot tables, VLOOKUP, macros) and
SQL queries, reducing reporting time by 50%

Ensured data integrity through rigorous validation protocols, improving data quality scores from 68% to
94%

Collaborated with management to establish data governance frameworks supporting continuous
operational improvement

EDUCATION
Master of Science in Electrical/Electronic Engineering
Nigerian Defence Academy | Kaduna State, Nigeria | 2025
Bachelor of Science in Electronics Engineering
University of Nigeria, Nsukka | Enugu State, Nigeria | 2019

CERTIFICATIONS
Machine Learning with Python Certificate – 2024

Google Cloud Data Analytics Certificate – 2021

Advanced SQL for Data Analysis – 2021

Python for Data Science and Machine Learning – 2019

Data Analytics Professional Certificate – 2018

Business Intelligence & Data Visualization – 2017

TECHNICAL PROJECTS
Predictive Analytics Platform for Job Market Trends

Developed end-to-end data pipeline analyzing 100,000+ job postings using Python, achieving 87%
accuracy in salary prediction models

Built interactive dashboards visualizing hiring trends across 50+ industries and 100+ job categories

Cryptocurrency Market Analysis System

Created automated ETL pipeline processing 5M+ transactions daily from 10+ blockchain networks

Developed time series forecasting models predicting price movements with 78% accuracy

Customer Segmentation & Churn Analysis

Performed clustering analysis on 50,000+ customer records using K-means and hierarchical clustering

Reduced customer churn by 28% through predictive modeling and targeted retention strategies

LANGUAGES
English – Fluent (Native)
ADDITIONAL INFORMATION
Nationality: Nigerian
Availability: Immediate
Work Authorization: Open to remote opportunities globally
Relocation: Willing to relocate for the right opportunity