Clara Ijeoma Nwanmuo
Lagos
Summary
Data Scientist with expertise in Python and SQL, proficient in data manipulation using Pandas and NumPy. Skilled in data visualization with advanced Excel and foundational Tableau knowledge, complemented by strong database management abilities. Experienced in machine learning fundamentals, KPI development, and performance metrics analysis, driving effective business intelligence solutions. Recognized for analytical thinking and problem-solving skills, with a commitment to enhancing Tableau proficiency for better business insights.
Overview
2
2
years of professional experience
1
1
Certification
Work history
Planning & Performance Analyst
Pacific Energy Group
Papalanto
01.2014 - 01.2016
- Dashboard Development: Built interactive Excel dashboards with pivot tables & VBA macros, cutting reporting time by 25%.
- KPI Tracking: Automated weekly performance reports in Tableau, improving management decision-making speed by 20%.
- Process Optimization: Collaborated with engineering teams to streamline workflows, reducing operational delays by 15%.
Education
MSc - Data Science
In Progress
BSc - Energy & Petroleum Studies
- Second Class Upper
- GPA: 3.7
Skills
- Programming: Python (Pandas, NumPy, Scikit-learn, TensorFlow), SQL (PostgreSQL, MySQL)
- Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
- Machine Learning: Regression, Classification (Logistic, Random Forest, XGBoost), Clustering (K-Means), NLP
- Data Engineering: ETL, Data Cleaning, Feature Engineering, Big Data (Apache Spark)
- Tools: Excel (Advanced Formulas, Pivot Tables, VBA), Git, Jupyter Notebook, Streamlit
- Cloud: Azure
- Big Data analytics
- Critical analysis
- Machine learning
- NoSQL Databases
Certification
IBM Data Science Professional – Big Data, Machine Learning (Apache SystemML)
Projects
1. Cognitive Screening Web App (AI + Education), Developed a Python-based web app using Streamlit to assess cognitive skills (memory, attention) in children., Applied supervised learning (Random Forest) to generate personalized learning plans, achieving 85% accuracy., Deployed model via Flask API and integrated with a React frontend., 2. Word Difficulty Predictor (NLP for Hearing Loss), Built a classification model (Logistic Regression, XGBoost) to predict challenging words for hearing-impaired children., Performed EDA, feature engineering, and hyperparameter tuning, improving model precision to 92%., Deployed via Streamlit with an interactive UI for educators., 3. Sales Performance Dashboard (Power BI + SQL) (Hypothetical – Add if needed), Created a real-time sales analytics dashboard in Power BI, pulling data from SQL Server., Reduced monthly reporting time by 40% and identified high-growth regions contributing to 15% revenue increase.
Timeline
Planning & Performance Analyst - Pacific Energy Group
01.2014 - 01.2016
Pan-Atlantic University - MSc, Data Science
Novena University - BSc, Energy & Petroleum Studies
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