Hello! I am Tabitha Chelagat, a data analyst passionate about turning raw data into strategic assets. Over 3 years of experience in Banking, Insurance, and development sectors, I build automated ETL pipelines, predictive risk models, and real-time dashboards to reduce friction and boost profitability. I excel at identifying bottlenecks, engineering scalable solutions, and enabling high-fidelity decision making. Colleagues would describe me as a collaborative problem solver and clear communicator who translates complex findings into actionable insights and automated alerts for executives. I am excited by data-driven storytelling and continuous improvement through automation.

Tabitha Chelagat

Hello! I am Tabitha Chelagat, a data analyst passionate about turning raw data into strategic assets. Over 3 years of experience in Banking, Insurance, and development sectors, I build automated ETL pipelines, predictive risk models, and real-time dashboards to reduce friction and boost profitability. I excel at identifying bottlenecks, engineering scalable solutions, and enabling high-fidelity decision making. Colleagues would describe me as a collaborative problem solver and clear communicator who translates complex findings into actionable insights and automated alerts for executives. I am excited by data-driven storytelling and continuous improvement through automation.

Available to hire

Hello! I am Tabitha Chelagat, a data analyst passionate about turning raw data into strategic assets. Over 3 years of experience in Banking, Insurance, and development sectors, I build automated ETL pipelines, predictive risk models, and real-time dashboards to reduce friction and boost profitability. I excel at identifying bottlenecks, engineering scalable solutions, and enabling high-fidelity decision making.

Colleagues would describe me as a collaborative problem solver and clear communicator who translates complex findings into actionable insights and automated alerts for executives. I am excited by data-driven storytelling and continuous improvement through automation.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Work Experience

Data Analyst at PULA
May 1, 2024 - November 1, 2025
Designed and implemented an automated end-to-end data pipeline ingesting CRM API data and accounting files from multiple sources into a SQL analytics database. Implemented scheduled ELT workflows using Python, SQL stored procedures, and job schedulers with downstream reporting in Power BI Service including KPI alerts and automated reporting. Developed and automated dashboards with real-time data refresh and KPI alerts for enrollment, retention, and engagement, accelerating executive response time by 50%. Collaborated with the Field Operations team to streamline data collection workflows, facilitating the registration and insurance of 1M+ smallholder farms in Uganda. Conducted risk and profitability analysis to identify high-risk policyholder segments, directly preventing potential revenue loss by flagging unprofitable product lines.
Data Analyst at NCBA Group
January 1, 2023 - April 1, 2024
Built predictive frameworks to identify potential loan defaulters, enabling proactive mitigation of over 1.4M in potential portfolio losses. Designed banking dashboards visualizing customer lifetime value, transaction patterns, and liquidity concentration to support data-driven VIP retention strategies. Developed an anomaly detection script to flag suspicious transaction patterns and unusual loan-to-income ratios, strengthening risk monitoring and fraud prevention protocols.
Data Quality Analyst at Mentorness
August 1, 2022 - November 1, 2022
Spearheaded data quality audits for large-scale survey datasets, implementing standardization protocols that improved data reliability and consistency by 35%. Designed Tableau dashboards to monitor KPIs and operational performance. Generated bi-monthly reports to communicate project achievements and data quality milestones to stakeholders, ensuring transparency in data validation progress.
Data Quality Analyst Intern at World Health Organization
February 1, 2022 - June 1, 2022
Participated in auditing regional health data collection processes, uncovering critical bottlenecks in ODK-based data capture. Trained a team of 6 data collectors using ODK, ensuring high-quality, complete data capture across rural and urban locations. Coordinated with health facilities, government officials, and community leaders to streamline field operations.

Education

BSc in Control and Instrumentation Engineering at Jomo Kenyatta University of Agriculture and Technology
September 1, 2018 - September 1, 2022

Qualifications

Google Data Analytics – Coursera
February 1, 2022 - December 1, 2022
IBM Machine Learning Professional – Coursera
March 1, 2025 - December 28, 2025

Industry Experience

Financial Services, Healthcare, Non-Profit Organization