Evans Kiplangat

Data professional with 5+ years building the full pipeline from raw data to decisions: designing production ETL pipelines (Apache Kafka, Apache Spark, PostgreSQL/MySQL), engineering AI/ML systems (XGBoost, SHAP, scikit-learn) deployed to live users, and delivering statistical analysis, M&E, and BI reporting (SQL, Python, R, Power BI, Tableau) that has driven measurable operational gains — including a 30% cut in reporting turnaround time and a 40% reduction in manual data-processing errors.

Background in applied statistics and monitoring & evaluation — indicator design, survey data, impact assessment — underpins a rigorous, evidence-first approach to every pipeline, model, and dashboard built. BSc Applied Statistics with Computing; Google Data Analytics Professional Certificate; CPA Kenya Level II (in progress).

Data Analyst — Data Engineering & Business Intelligence (Contract) - Amtech Technologies - Nairobi, Kenya

(2024-01 - 2025-08)

• Built automated data pipelines in SQL and Python integrating PostgreSQL databases and REST APIs, cutting manual errors by ~40% and saving 10+ analyst hours weekly.
• Designed and maintained 5+ interactive Power BI and Excel dashboards for real-time KPI monitoring, reducing reporting turnaround time by 30%.
• Implemented data quality frameworks — validation rules, duplicate detection, outlier identification — to strengthen accuracy of management reporting.
• Applied statistical forecasting and trend analysis to inform operational planning; translated ambiguous stakeholder requirements into structured analytical deliverables.
• Documented data flows, reporting standards, and analytical methodology to support data governance and institutional knowledge management.

Freelance Data Analyst, Data Engineer & Consultant - Self-Employed - Remote

(2020-01)

• Delivered end-to-end analytics and data engineering solutions across agriculture, health, fintech, and retail — from data pipeline design and cleaning through to modelling, reporting, and insight delivery.
• Built and deployed predictive models (loan default prediction, crop advisory systems) using Python and ML frameworks, hosted on cloud platforms for client access.
• Designed custom Power BI and Tableau dashboards tailored to client KPI needs, contributing to a 20% improvement in performance metrics for one retail engagement.
• Provided data quality, database management, and pipeline development support using SQL and Python.

Finance & Data Analyst (Industrial Attachment) - Bomet County Government — Finance, Economic Planning & ICT

(2022-01 - 2022-12)

• Collected, cleaned, and analysed government financial and administrative datasets to support budget monitoring, expenditure tracking, and quarterly reporting across 3 departmental units.
• Prepared statistical summaries and analytical briefs (Excel, SPSS), translating findings into policy recommendations for non-technical decision-makers.
• Maintained departmental databases, supporting data-entry validation, record reconciliation, and data quality assurance.
• Generated performance dashboards for departmental heads, improving visibility of key operational metrics.

Field Enumerator - Kenya National Bureau of Statistics (KNBS)

(2019-01 - 2019-12)

• Conducted household data collection for the 2019 Kenya Population and Housing Census using structured interviews and ODK-based capture tools.
• Ensured data quality and completeness through real-time validation and supervisory review across assigned enumeration areas.

BSc - Applied Statistics with Computing - Moi University (2019-01 - 2023-12)