Titus Gideon

Research & Data Analysis Assistant - Academic Project

(2025-09 - 2026-03)

The Impact of Infrastructure on Economic Growth

Research Design & Data Collection: Participated in designing the study framework on the impact of infrastructure on economic growth, including defining variables, identifying data sources, and collecting secondary data from reliable economic databases and reports.
Data Cleaning & Preparation (Excel & SPSS): Organized and cleaned raw datasets using Microsoft Excel and SPSS, handling missing values, correcting inconsistencies, and ensuring data readiness for statistical analysis.
Statistical Analysis (SPSS): Conducted descriptive and inferential statistical analysis using SPSS, including correlation and regression analysis to examine the relationship between infrastructure investment and economic growth.
Data Visualization & Interpretation (Excel): Developed charts, tables, and graphs using Microsoft Excel to present trends and relationships in infrastructure spending and GDP growth for clearer interpretation.
Report Writing & Presentation: Summarized findings into a structured research report, interpreting statistical outputs and providing policy-oriented conclusions on how infrastructure influences economic growth.

Monitoring & Evaluation Attachee - Kenya Ports Authority

(2025-05 - 2025-08)

Monitoring & Evaluation: Assisted in collecting, verifying, and analysing operational data to monitor departmental performance, track key performance indicators (KPIs), and support evidence-based decision-making.
Research & Planning: Supported research activities by gathering, organizing, and interpreting economic and statistical data to inform planning processes, project implementation, and policy recommendations.
Statistical Analysis & Reporting: Compiled, cleaned, and analysed datasets using Microsoft Excel and SPSS, preparing statistical summaries, tables, and reports to support management reporting and operational reviews.
Data Management & Quality Assurance: Maintained accurate databases by validating records, identifying inconsistencies, and ensuring data integrity for planning and monitoring purposes.

Sales Data Analysis Assistant - Local Retail Enterprise - Nairobi

(2024-05 - 2024-08)

Sales Data Management: Collected, organized, and maintained daily sales records using Microsoft Excel to ensure accurate reporting and record-keeping.
Data Cleaning & Validation: Reviewed transactional sales data, corrected inconsistencies, and removed duplicate entries to improve data quality and reliability.
Sales Trend Analysis: Analysed daily, weekly, and monthly sales performance using Excel functions, PivotTables, charts, and conditional formatting to identify trends and top-selling products.
Inventory Analysis: Compared sales and inventory records to identify fast-moving and slow-moving items, supporting stock planning and replenishment decisions.
Reporting & Insights: Prepared weekly and monthly sales reports, summarizing key performance indicators and providing data-driven insights to support business planning and decision-making.

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