AJAYI BABATUNDE CHARLES
Nigeria
� - | �-� LinkedIn https:linkedin.com/in/ajayi-babatunde | � GitHub https://github.com/charle89
� PROFESSIONAL SUMMARY
Results-driven Data Analyst with 4+ years of experience transforming raw data into insights, dashboards, and
automation that drive business growth. Proven success working with real-time vehicle pricing data, building
interactive BI dashboards (Power BI, Tableau, Looker), and writing efficient SQL queries to analyze trends,
regional variance, and mileage curves. Adept at automating workflows using Python (Pandas, Jupyter),
streamlining CRM pipelines via Apollo and Zapier, and collaborating with ML + product teams to deliver data
that powers smarter decisions. Known for speed, independence, and visual storytelling.
� CORE SKILLS
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Data Analysis & Visualization (Power BI, Tableau, Looker)
SQL Querying (PostgreSQL, MySQL, BigQuery)
Python (Pandas, Jupyter, Matplotlib, NumPy)
Real-Time Vehicle Market Data Monitoring
Dashboard Development & Data Storytelling
CRM & Lead Data Automation (Apollo, Zapier, Google Sheets)
Data Cleaning & ETL (Excel, Power Query, Python scripts)
Collaboration with ML/Product Teams
Predictive Modeling & Trend Analysis
KPI & Performance Metrics Reporting
� PROFESSIONAL EXPERIENCE
Senior Data Analyst
Lagos School of Programming (Remote)
� Oct 2023 – Present
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Built Power BI dashboards analyzing vehicle pricing trends, improving pricing decision accuracy by 35%.
Wrote SQL queries to track mileage curves, depreciation rates, and region-based price variance.
Collaborated with product + ML teams to highlight outlier pricing and generate model-ready data sets.
Used Python (Pandas, Matplotlib) to build ad-hoc scripts and visual reports for internal teams.
Reduced dashboard refresh time by 40% through query optimization and scheduled updates.
Data Analyst – CRM & Market Analytics
HNG Africa (Remote)
� May 2022 – Nov 2022
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Used Apollo.io to source 1,000+ leads from vehicle-related startups lacking online presence.
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Automated cold email outreach using Apollo sequences and synced data to Google Sheets via Zapier.
Tracked lead engagement and created visual summaries of cold outreach performance, increasing
appointment setting by 25%.
Designed internal dashboards to surface market gaps and inform product development.
Data Analyst (Virtual Internship)
PwC Switzerland – Forage Simulation
� Jul 2023 – Sep 2023
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Created HR and finance dashboards in Power BI, reducing reporting time by 30%.
Automated data prep with Excel Power Query and SQL joins across large datasets.
Delivered executive-ready visuals for internal performance review dashboards.
Data Scientist (Simulation)
British Airways – Forage Program
� Mar 2023 – Jun 2023
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Built predictive models on customer behavior using Python and Jupyter.
Processed over 100,000 rows of flight and customer data to build actionable segments.
Achieved a 70% precision rate in forecasting likelihood of repeat purchases.
� KEY ACHIEVEMENTS
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Built dashboards used in live vehicle pricing apps; contributed to 20% faster decision cycles.
Automated CRM lead tracking and appointment setting pipeline, saving 10+ hours/week.
Improved SQL query efficiency by 40%, reducing load time for data reports.
Conducted mileage vs. price correlation studies that improved pricing model calibration by 15%.
� EDUCATION
M.Sc. Computer Science – University of Ilorin, Nigeria | 2014 – 2016
B.Sc. Computer Science – University of Ilorin, Nigeria | 2008 – 2012
� CERTIFICATIONS
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✅ Microsoft Certified: Power BI Data Analyst Associate
✅ PwC Switzerland Power BI Simulation Certificate
✅ British Airways Data Science Certificate (Customer Segmentation)
✅ Certificate in Payment Data Analytics – HNG