Business Data Analyst expert in machine learning, financial modeling, and advanced data visualization. Delivering elite consulting-level insights and optimizing system architectures for strategic growth.
3+
Years Exp.
15+
Projects
20+
Tools Mastered
3
Key Domains
As a highly motivated Business Data Analyst with over 3 years of impactful experience and a Master's in Business Analytics from the University of Surrey, I excel at transforming complex data into actionable insights that drive significant business growth and operational efficiency.
My expertise spans machine learning, financial modeling, econometric analysis, and advanced data visualization. I have a proven record in optimizing business processes, developing robust financial models, and enhancing SAP systems.
University of Surrey • 2023 - 2024
Dissertation: Enhancing Sustainable Finance through GPU-Accelerated Value at Risk (VaR) Models in Central Banking
Great Lakes Inst of Mgmt • 2021 - 2022
BSA Crescent Institute • 2017 - 2021
Step8Up Group
Conducted market analysis to identify emerging trends, tracking sales metrics via Power BI. Collaborated cross-functionally to refine client targeting, leading to measurable improvements in conversion rates.
Aluzie (ITEK Program)
R&D on software architecture using machine learning. Utilized Neo4j and SQL to model code relationships, presented via Power BI. Awarded "Innovative Collaborator" for reducing dev onboarding time.
Tata Consultancy Services
Developed core Java adjustments for NSDL settlement. Executed robust CI/CD compliance validation, assuring seamless system integration and zero-defect enterprise deployment.
Master's Dissertation Project Developed GPU-accelerated Value at Risk (VaR) models to significantly enhance risk assessment speed for sustainable finance and ESG initiatives in central banking.
Collaborated on SAP systems optimization for Decathlon, focusing on streamlining data flows to improve operational efficiency in retail.
Conducted in-depth econometric analysis using Stata to derive robust market insights supporting long-term strategic planning.
Performed extensive data mining on a large UK Road Accident Dataset using SAS Viya to inform safety strategies.
Implemented optimization strategies for Rapid DNA operations, significantly improving police force turnaround times.
Designed a predictive model forecasting customer interest, boosting targeted marketing effectiveness for an insurance provider.
Estimate the potential cost savings of converting manual reporting to automated dashboards.
Estimated Annual Cost
$31,200
*Based on 52 working weeks. Automating this workflow drives permanent ROI.
Hover over each stage to view my methodology.
Extracting raw data from disparate sources (SQL, APIs, flat files) ensuring pipeline integrity and zero data loss.
Handling missing values, outlier detection, and normalizing features using Pandas to establish a single source of truth.
Applying statistical algorithms and machine learning (e.g., Random Forest, regression) to identify predictive trends.
Translating complex model outputs into intuitive, interactive dashboards via Power BI for executive stakeholders.
The ultimate goal: driving measurable cost reductions, automating workflows, and optimizing decisions.
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Years AnalyticsMy approach begins with strict feature engineering to ensure data quality. I then select algorithms (like Random Forest or XGBoost) based on trade-offs between interpretability and accuracy, followed by robust hyperparameter tuning and cross-validation to prevent overfitting.
I utilize frameworks like BPMN to visually document current-state ("as-is") workflows. By consulting cross-functional stakeholders, I identify redundancies and bottlenecks to propose a streamlined future-state ("to-be") model.
I prioritize data visualization via Power BI or Tableau to create intuitive dashboards. I avoid technical jargon and instead frame metrics purely around business impact—focusing on ROI, risk reduction, and strategic alignment.
Open to discussions, opportunities, and consulting.