Built with real operational constraints in mind, not only demo environments.
Esther Bahati
Data Analytics · Information Management · AI Automation · Field Operations · Product Building
Data Analyst & AI Automation Builder
I turn complex data into clear decisions for NGOs, managers, and businesses.
I design data systems, automation workflows, reporting layers, and AI-enabled products that help leaders operate with more clarity, faster decisions, and less technical friction. This portfolio brings together public analytics work, product thinking, and sanitized operational case studies from real field environments.
Reporting and automation designed to reduce ambiguity for managers and teams.
Product thinking shaped by user sovereignty, sensitive workflows, and responsible data handling.
About Me
Hello, I'm Esther Bahati.
I work across operations, data, and AI, and I am passionate about technology and literature. I love growing, learning more, discovering new things, and taking on challenges because the feeling of being stuck is unbearable to me.
As a great lover of novels, I also enjoy writing poetry.
I speak professional English, native French, and Swahili. I hold a Machine Learning certification, but I train myself even more through practice by continuously building projects.
Professionally, I design data, artificial intelligence, and automation solutions to help managers, entrepreneurs, and businesses improve their operations and make better decisions. In short, I build data-driven solutions that allow people, even the less technical ones, to make use of data.
Recently, I have also started creating content around artificial intelligence and technology to help managers understand and use AI without technical jargon. My belief is simple: leaders should be able to master AI and benefit from it without necessarily going through long technical training if they do not have the time or desire to become experts.
I am also the creator of Executive Assistant Briefing, a proactive AI-powered executive assistant that analyzes emails and WhatsApp conversations, detects anomalies and missed actions, and generates personalized briefings and real-time alerts to help leaders stay organized and make better decisions. Users can also interact directly with it through WhatsApp.
And because privacy is important to me, users remain fully sovereign over their data and conversations. Nothing is stored on my servers except certain technical identifiers and assistant-related data, solely to allow service backup and restoration, for example if a user loses their phone or changes devices. It is subscription-based, of course.
Currently, I work as a Traceability System Supervisor at the Virunga National Park Foundation, where I oversee traceability systems and data management across multiple operational areas. I also contribute to logistics operations, with the management of seven sales platforms.
The details of my professional experience can be found in my resume, but I have included a few projects here to convince you to let me be part of your team.
I usually go by Esther Bahati, while my full legal name on my CV and official documents is CIBALONZA BAHATI ESTHER.
Contact
If you are hiring for work in data, analytics, information management, spatial analysis, AI automation, or product execution, I would be happy to connect.
Key Achievements
Where exact business metrics cannot be disclosed publicly, this section highlights measurable scope, product ownership, and delivery outcomes that can be supported by the work shown in this portfolio.
Selected Projects
The project mix is intentional: analytics implementation, reporting systems, executive storytelling, AI product design, and confidential dashboards from operational environments.
n8n | WhatsApp API | IMAP | Supabase | LLM | Automation
Executive Assistant Briefing™ — AI SaaS Product
Product currently in development — Beta Q3 2026.
- Built to detect anomalies, missed actions, and priority signals across executive communications.
- Combines proactive briefings, real-time alerts, and familiar communication channels for non-technical leaders.
- Designed around privacy-conscious workflows and operational decision support.
GA4 | UTM Tracking | HTML | JavaScript | GitHub Pages
HopeTrack NGO Demo Site — GA4 & UTM Framework
A full demo site showing campaign instrumentation, donation journey tracking, and a usable UTM governance framework for nonprofit reporting.
- Implements GA4 events across homepage, donation flow, and supporter interactions.
- Documents attribution standards that non-technical teams can actually apply consistently.
- Published as a standalone GitHub Pages project to demonstrate real deployment readiness.
Google Sheets | KPI Framework | Multi-source | Reporting
Unified Marketing Reporting Template
A structured Google Sheets reporting system for combining campaign, CRM, web, and channel metrics into one operational decision layer.
- Built as an interim reporting layer before full BI maturity.
- Includes KPI definitions, reporting governance, and stakeholder-friendly weekly views.
- Demonstrates how Google Sheets can stay disciplined, auditable, and executive-ready.
Looker Studio | Data Visualization | Marketing Analytics
Campaign Performance Dashboard — Looker Studio
An executive-facing dashboard layer translating campaign data into a clean performance view for fast interpretation and stakeholder review.
- Focuses on trend visibility, conversion logic, and signal clarity rather than decorative charts.
- Extends the HopeTrack reporting system into a presentation layer for management audiences.
- Designed to support narrative reporting, not only raw channel metrics.
KoboToolbox | DHIS2 | Power BI | DQA | XLSForm
NRC Education IM Pipeline — DRC
End-to-end information management pipeline for NRC's Education program in Eastern DRC. Production-ready XLSForm, DQA template with RVR calculator, and full case study documenting the KoboToolbox → DHIS2 → Power BI workflow.
- Includes Kobo-ready field logic with French constraints, cascading administrative geography, and built-in consistency checks.
- Ships with a DQA workbook covering validation rules, audit trail, and Ratio de Vérification des Résultats.
- Translates field collection into a senior-level IM case study focused on operational use, not only technical implementation.
Python | Machine Learning | Classification | GitHub
Classi-fy — Machine Learning Classification
A machine learning classification project built to demonstrate practical modelling, structured experimentation, and interpretable outputs.
- Built in Python with a focus on applied classification workflows rather than toy notebook outputs.
- Shows foundational ML implementation, experimentation discipline, and code organization.
- Published on GitHub as a public technical reference for recruiters and collaborators.
CRM | Funnel | Membership Conversion
Donor Journey & Membership Funnel Analysis
A donor journey analysis focused on acquisition quality, first-gift conversion, repeat giving, and monthly membership performance.
- Maps the key drop-off points between visit, donation start, conversion, and repeat giving.
- Built to support communications, fundraising, and stakeholder-facing performance reviews.
- Pairs sheet-based analysis with a companion page for faster interpretation.
Dataset shared with Unified Marketing Reporting Template — filtered view for donor journey analysis.
Storytelling | Cross-channel Interpretation | One-pager
Cross-Channel Campaign Insights One-Pager
A concise performance summary designed to convert campaign data into decisions that non-technical stakeholders can act on quickly.
- Separates attention metrics from contribution-driving metrics to improve interpretation.
- Distills the reporting story into clear insights and practical next actions.
- Complements dashboard-heavy work with leadership-friendly narrative reporting.
Confidential Product | Sensitive Operations | Monitoring
Security Intelligence Dashboard
A confidential dashboard case study centered on multi-source monitoring, KPI visibility, and operational reporting under high-sensitivity constraints.
- Built around decision support in environments where exposure of live data is not acceptable.
- Demonstrates reporting structure, visibility logic, and sanitised product storytelling.
- Shows experience in translating sensitive field signals into usable management outputs.
Confidential Product | KPI Visibility | Stakeholder Reporting
Virunga Performance Dashboard
A confidential dashboard case study focused on KPI centralization, stakeholder reporting, and interface clarity in a live professional environment.
- Reflects reporting work built under real operational conditions rather than only mock datasets.
- Prioritises recurring review, KPI structure, and interface clarity for practical use.
- Public presentation is intentionally sanitized to protect operational data.
How I Build
The work is presented in the format most appropriate to its purpose: operational transparency, stakeholder readability, or responsible confidentiality.
Operations first
I build with operational reality in mind, which means systems have to survive messy inputs, non-technical users, and real decision pressure.
Analytics that informs action
Dashboards, sheets, and one-pagers are designed to help people decide what to do next, not just admire metrics.
AI without unnecessary jargon
I am especially interested in making AI useful to managers and leaders who need leverage, not a technical lecture.
Confidentiality handled responsibly
Private dashboards and sensitive work are documented in a way that preserves credibility while protecting systems, organizations, and users.