Solomon ALBERT

Analyzed complex financial and operational datasets across multiple industries to support AI model training, benchmarking, and decision- making workflows. Evaluated data quality, consistency, and business relevance for large-scale AI training projects involving structured and unstructured datasets. Collaborated with cross-functional teams to improve AI model accuracy through financial reasoning validation, anomaly detection, and scenario-based analysis. Built data-driven insights and performance reports using analytical tools to optimize workflow efficiency and enhance project delivery timelines. Conducted financial interpretation and contextual analysis of real-world business cases to support advanced machine learning evaluation systems. Contributed to the development of scalable AI evaluation frameworks by validating outputs, identifying model limitations, and improving analytical precision.

Partnered with cross-functional consulting teams to assess client needs and deliver tailored BI solutions, achieving 95% on-time project delivery and increasing client retention by 15%. Designed and deployed Tableau and Power BI dashboards that automated KPI tracking and standardized reporting, reducing stakeholder analysis time by 30% and improving decision-making speed. Optimized SQL-based ETL pipelines by restructuring queries and enhancing validation logic, improving data integration efficiency by 20% and ensuring 100% accuracy across consolidated datasets. Applied time series forecasting and regression models to financial planning, delivering 90% predictive accuracy and enabling executives to anticipate risks and allocate resources effectively. Produced monthly market and performance insight reports that highlighted trends and operational gaps, supporting proactive strategy adjustments and improving client service KPIs by 10%.

Analyzed inventory valuation using SQL and Excel (Power Query), reducing overstocking costs by 20% through optimized reorder thresholds and SKU (Stock Keeping Unit) performance tracking. Automated integration of after-sales inventory data into P&L and balance sheet statements using Python, improving cost allocation accuracy by 10%. Extracted ERP and sales data to identify slow-moving and high-risk items, aligning inventory turnover with revenue trends and increasing profit margins by 5%. Built Power BI dashboards for operational KPIs (GMROI (Gross margin return on investment), stock-to-sales ratio, shrinkage rate), improving visibility and decision-making efficiency by 15%. Collaborated with finance and supply chain teams to implement a data-driven audit framework, reducing stock discrepancies and write-offs by 12%

Conducted financial analysis on property portfolios, improving pricing accuracy and supporting $80,000+ in closed deals through data-driven client acquisition strategies. Built Excel-based financial models to evaluate ROI, cash flow, and risk exposure, enabling leadership to prioritize high-value investment opportunities. Analyzed market trends and customer behavior to refine sales strategies, increasing qualified leads by 18%. Prepared weekly performance reports for senior management, improving visibility into sales cycles, revenue forecasts, and operational bottlenecks. Streamlined client onboarding documentation, reducing processing time by 25% and improving customer satisfaction scores.

Analyzed pension fund performance using Excel and SQL, identifying underperforming assets and contributing to a 10% improvement in portfolio returns. Consolidated multi-source financial data into unified reporting models, reducing monthly reporting time by 40% and improving data accuracy. Built dashboards to track contribution trends, withdrawal patterns, and fund growth, enabling proactive decision-making by senior management. Collaborated with compliance teams to ensure regulatory alignment, reducing audit exceptions and strengthening governance controls. Supported stakeholder engagement by preparing investment summaries and performance insights for clients, improving transparency and retention.

Assist and contribute to the success of the team as an intern. Re-confirm bank reconciliation documents and internal cash book. Ascertain tax deductions percentage on awarded state contracts. Carry out organization inventory for internal audit purpose. Attend to staffs query by relating it to a senior staff. Take notes of every activities within the department and attend to every necessary duties expected of an intern to gain technical knowledge.