Antony Kinuthia

Antony N. Kinuthia · Data Analyst · Software Engineering background

Turning business data into decisions.

I clean, query and model data in Python, SQL and Excel, then turn it into charts and recommendations people can act on. My engineering background means the analysis ships, not just the slide deck.

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Fig. 01 — About

Analyst first, engineer underneath.

I'm a Data Analyst with a Computer Science degree from Daystar University and hands-on experience building business solutions on clients' operational and financial data.

As a Software Engineering Intern at Premier Analytics I worked with Microsoft Power Platform and Dynamics 365 Business Central, where I saw how much value sits in data that companies already collect. Now I focus on the analysis: cleaning messy datasets, asking the right questions with SQL and pandas, and presenting answers clearly.

Since 2023 I've also done freelance AI data work: transcribing and labelling speech data in English and Swahili, masking personal information to GDPR/HIPAA standards, and scoring LLM responses against quality rubrics. It taught me that the quality of an analysis depends on the data underneath it.

Outside of client work I build products (Nestly) and automation (VideoToClips), and I run two YouTube channels.

Portrait of Antony N. Kinuthia, smiling, wearing a navy polo shirt
Fig. 1.1 Antony N. Kinuthia

describe(antony)

Focus
Business analytics
Core stack
Python · SQL · Excel
Degree
BSc Computer Science, 2025
Background
Software engineering
Languages
English · Swahili · German

Fig. 02 — Skills

The toolkit.

Python, SQL and Excel do the heavy lifting. Statistics and clear visuals turn the output into something a business can use.

skilltypegroup
Python language core
pandas library core
NumPy library core
SQL language core
Excel tool core
SQLite database core
Statistics method analysis
Data Cleaning method analysis
Data Visualization method analysis
Business Analytics domain analysis
Data Validation & QA method analysis
Power Platform platform platform
Dataverse database platform

13 rows in set

Skills by group
  • core 6
  • analysis 5
  • platform 2

Fig. 03 — Projects

Case studies: question → data → decision.

Each one starts with a business question and ends with findings someone could act on.

Describe what the chart shows, e.g. scatter plot of transfer fee vs. player age.
Fig. 3.1 Chart caption

Case study · 01

Football Transfers Analysis

Problem
The business question. E.g. which player attributes actually drive transfer fees, and where are clubs overpaying?
Dataset
Dataset name (e.g. Transfermarkt transfers 2015–2024) · Source
Tools
  • Excel
  • Pivot tables
  • more

Key insights

  1. Insight 1. Lead with a number (e.g. fees for 21–24 year-olds rose X% vs. Y%).
  2. Insight 2
  3. Insight 3 (optional)
  • GitHub link
  • Workbook link
Describe what the chart shows.
Fig. 3.2 Chart caption

Case study · 02

Real Estate Market Analysis

Problem
The business question. E.g. what drives listing prices across neighbourhoods, and which areas are undervalued?
Dataset
Dataset name · Source
Tools
  • Python
  • pandas
  • NumPy
  • matplotlib/seaborn

Key insights

  1. Insight 1. Lead with a number.
  2. Insight 2
  3. Insight 3 (optional)
  • GitHub link
  • Notebook link

Also built — Engineering projects

Automated long-form → shorts pipeline

VideoToClips

Python pipelines that transcribe long-form video with OpenAI Whisper, align segments to the millisecond, and cut shorts with FFmpeg. Jobs are tracked in SQLite with error logging and recovery, so interrupted batches lose no data.

  • Python
  • FFmpeg
  • Whisper API
  • SQLite
  • SQLAlchemy
  • GitHub link

Fig. 04 — Experience

Timeline.

  1. –

    Software Engineering Intern

    Premier Analytics

    • Built information management portals and Dataverse databases on Microsoft Power Platform, consolidating multi-departmental records into structured relational tables.
    • Wrote Python data operations and automated workflows that consolidated information across business units with zero data loss.
    • Designed input-validation rules and error-checking scripts that eliminated duplicate and malformed entries before database ingestion.
    • Turned legacy paper and spreadsheet workflows into digital forms, automated status alerts and reporting dashboards.
    • Configured role-based access and row-level security (Entra ID) for sensitive records, and supported 40+ staff with access, troubleshooting and user guides.

  2. – Present

    AI Data Annotation & Speech Specialist

    Upwork (freelance)

    • Transcribed multi-speaker and call-centre audio into structured text, with millisecond-level speaker diarization and event tagging.
    • Identified and masked personal information (names, contacts, financial and medical details) across text and audio, in line with GDPR and HIPAA.
    • Evaluated and ranked LLM responses against multi-dimensional rubrics (accuracy, reasoning, safety, instruction following), and labelled intents, entities and sentiment.
    • Recorded bilingual English–Swahili conversational speech data for banking, healthcare and customer-service domains.

  3. –

    ICT Support Technician (part-time)

    Small business clients

    • Set up and maintained hardware, Ubuntu/Windows systems and local networks for small businesses.
    • Created backup routines that protected accounting records and business files, and trained staff on digital tools.

  4. –

    BSc Computer Science

    Daystar University

    • Coursework: Database Systems, Data Structures & Algorithms, Software Engineering, Information Security.
    • Capstone: a database-backed web application with authentication, role-based permissions and dynamic reporting.

Fig. 05 — Certifications

Always learning, on the record.

  • Nov 2026

    Introduction to Data and Data Science

    365 Data Science

    completed
  • In progress

    Data Analyst Career Track

    365 Data Science

    in progress
  • Aug 2024

    Supervised Machine Learning: Regression and Classification

    DeepLearning.AI · Stanford

    completed
  • date

    Microsoft Excel: Data Modeling, Lookups & Pivot Tables

    issuer

    completed
  • Jun 2021

    Linux Operating System (Foundation)

    StudySection

    completed

Fig. 06 — Content

On YouTube.

I also run two YouTube channels, which is where my automation work gets tested in production.

Fig. 07 — Contact

Have data that should be making decisions?

I'm open to Data Analyst roles and freelance analysis work. Email is the fastest way to reach me.