Statistical Researcher and Data Analyst

KELVIN ANANGA

Location: Nakuru Molo Phone: 074******* Email: ***************@*****.*** LinkedIn: linkedin.com/in/kelvin- ananga-3225aa1ba

PROFESSIONAL SUMMARY

Numbers make sense to me. A degree in Applied Statistics plus computing skills backs that up. Checking patterns comes naturally. Years spent turning raw data into clear insights show how. Precision matters each time. Tools and methods adapt when needed. Learning never stops, especially with changing datasets. Results always get reviewed twice. Clear thinking drives every step forward. One detail stands out: handling info in studies, building number patterns, predicting trends over time. Skill level? Sharp. Turning messy data into clear economic and business understanding with tools like R, STATA, or SPSS. From messy inputs, clarity often begins. Careful checks shape reliable outputs. Patterns emerge when numbers are properly reviewed. Strong predictions rely on precise groundwork. Every step forward depends on what came before it evidence-based decision-making. CORE COMPETENCIES AND SKILLS

Statistical Methods: Regression modeling, hypothesis testing, time series forecasting, ARIMA, Experimental Design, Trends & Research Methodology

Data Tools & Analytics: R Advanced, STATA, SPSS, Microsoft Excel Advanced, Data Modeling, Power BI Data Management: Quantitative Collection, Cleaning, Validation, Integrity Professional Strengths: Cross Functional Collaboration, research reporting, technical writing, data visualization, insights analysis

PROFESSIONAL EXPERIENCE

Research Attachee May 2024 to December 2024

KALRO Njoro

Data Integrity and Management: Handling extensive agricultural research data with rigorous standards. Checking steps keep information accurate when used in different tests. How details stay reliable shows up each time results match closely. Making sure numbers line up right happens through repeated checks. Every round of testing follows rules so values remain stable. When outcomes look similar, trust grows in the original figures. Statistical Analysis and Visualization: With SPSS or Excel, analyzing results becomes faster. These tools help shorten how long studies take. One after another, steps move quicker when data is clear. Instead of waiting, researchers see patterns early. Through spreadsheets or statistical software, progress speeds up naturally.

Data Quality Assurance: Advanced cleaning and error checks. Errors in data entry drop when checks are built right into the process. Principal investigators find stronger results come from cleaner inputs. Reliability grows not by accident but through consistent design choices behind the scenes. From detailed studies, clear reports took shape. Complex results found new form through careful explanation. Each document built understanding step by step. Insights emerged without clutter or excess. Writing made space for clarity. Depth stayed intact, yet became approachable. Structure guided the reader quietly. Every section had purpose. Explanation flowed naturally forward. Clear findings from real information help shape what comes next in the work. Insights drawn straight from results point toward future steps without guesswork.

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ACADEMIC PROJECTS

Forecasting Kenya’s GDP in 2024 Final Year Project Predictive modeling using ARIMA in R for forecasting time series data. Follow the money paths while digging into old trends. From time to time, patterns shifted with the seasons - each number told part of a larger story. Economic signs were studied closely, then turned into clearer terms. Complicated data became simpler through careful review. Changes across months shaped how results were seen. Information moved from raw figures to meaningful insights statistical outputs into clear, high-level intelligence reports. EDUCATION

B Sc In Applied Statistics With I T Graduated December 2024 Masinde Muliro University Of Science And Technology PROFESSIONAL CERTIFICATIONS

Microsoft Certified Power BI Data Analyst Associate (2026) Google Data Analytics Professional Certificate — Google Coursera (2026) IBM Data Science Professional Certificate from IBM and Coursera (2026) R Programming Specialist — Johns Hopkins University (2026) ADDITIONAL INFORMATION

Languages: English (Professional Proficiency), Swahili (Native), French (Basic Intermediate) Interests: Competitive football, teamwork strategy, and documentary analysis (global perspectives)

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