GODWIN DAVIS.

Business / Data Analyst.

Transforming data into actionable insights.

Statistical testing and decision-support modeling.

Bridging data and business decisions.

About Me

Godwin Davis

Detail-oriented Business/Data Analyst with a strong foundation in Statistics and Computer Science, experienced in transforming data into actionable business insights. Skilled in data analysis, business requirement interpretation, and decision-support reporting using Python (Pandas, SciPy, Statsmodels), SQL, and Power BI.

Experienced in data cleaning, exploratory analysis, and statistical testing to identify trends and support strategic decision-making. Adept at problem-solving, stakeholder-focused analysis, and building data-driven dashboards to improve business performance and operational efficiency.

Road Accident Risk Factor Detection & Analytics Dashboard

Road Accident Risk Factor Detection & Analytics Dashboard

Road Accident Analysis and Risk Factor Detection — Presented at Plutonia 2026, Department of Physical Sciences, Kristu Jayanti (Deemed to be University).

Research Paper: A Statistical Approach to Forecasting Price Volatility and Modeling Consumer Response Patterns

Research Paper: A Statistical Approach to Forecasting Price Volatility and Modeling Consumer Response Patterns

Served as the Main Author of a research paper presented at ICASDA 2026, focusing on statistical forecasting of price volatility and its impact on consumer demand behavior.

 AI Job Market Analysis

AI Job Market Analysis

Analyzed 1,500 AI job listings using Python, SQL, and Power BI to explore salary trends, job demand, and geographic differences in the AI job market. Built an interactive dashboard highlighting top-paying countries, high-demand roles like LLM Engineer, education impact on salaries, and experience-level distribution.

Business Data Analyst

Shades of Twosome

Dec 2025 – Present

Video Editor (Business Analyst Functions)

Fusion Engineering Tech

Jul 2025 – Nov 2025

Software Developer Intern

Koncepts Lab

Jun 2025 – Jul 2025

Let's Talk.

Interested in data analysis, business intelligence, or statistical modeling? Get in touch and let's build something great.

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