# HARRISON GOGO ISAAC - AI/ML Engineer | Data Scientist
Source: https://hello.cv/gogoharrison
gogoharrison66@gmail.com | +234 706 076 4650 | Abuja

## Links
- GitHub | https://github.com/gogoharrison
- Email | gogoharrison66@gmail.com
- Phone | +234 706 076 4650

## About
AI/ML Engineer and Data Scientist with over 3 years of experience building end-to-end intelligent systems, from speech-to-text pipelines and multilingual translation APIs to predictive ML models and production ETL workflows. Proven track record of delivering measurable outcomes, including a 28% increase in conversion rates and a 25% boost in operational efficiency. Passionate about applying AI to language and communication challenges across African and international contexts, leveraging expertise in FastAPI, HuggingFace Transformers, OpenAI Whisper, Docker, and Airflow to build real-time-ready applications.

## Work
### Data Scientist | 10alytics
https://10alytics.io
Led the development and deployment of high-performance ML models and automated data pipelines, significantly enhancing business performance and reporting speed.
- Developed and deployed high-performance classification and regression models using Scikit-learn, achieving 97% model accuracy in predicting customer churn and delivery delays.
- Engineered automated data acquisition and transformation pipelines with SQL and Excel, driving a 25% improvement in overall business performance and reporting speed.
- Applied advanced regression analysis and hypothesis testing to identify hidden consumer behavior patterns, resulting in a 15% increase in forecasting accuracy.
- Partnered with cross-functional teams to translate complex model outputs into actionable business strategies, directly impacting operational ROI.
### Data Analyst | Legend Internet PLC
https://Legend.ng
Analyzed sales funnels and customer data, spearheaded data validation, and automated reporting processes to improve data reliability and operational efficiency.
- Analyzed end-to-end sales funnels and customer usage data using SQL and Python, identifying friction points and successfully increasing lead-to-conversion rates by 28%.
- Spearheaded a department-wide data validation initiative, reducing entry errors by 25% and improving executive-level report reliability by 20%.
- Overhauled legacy reporting processes by implementing automated workflows, cutting manual processing time and enabling real-time data access for stakeholders.
- Managed data collection lifecycles across multiple business units, ensuring data consistency and alignment with corporate KPIs.

## Education
### Rivers State University | Petroleum Engineering
Second Class Upper

## Languages
- English | Fluent
- Igbo | Basic

## Certificates
### AI/Machine Learning
3MTT Initiative — NITDA | 2025-12-01 | https://drive.google.com/file/d/1nh7-IDpI6lWnmcKLU9W_a_e4fo8NwRY4/view?usp=drivesdk
### Data Engineering
3MTT Initiative — NITDA | 2025-12-01 | https://drive.google.com/file/d/1UyA7vb-wn50Xm9jRYf_W3yTMqhHnOdZH/view?usp=drivesdk
### Generative AI & Data Science
Flexisaf | 2025-04-01 | https://drive.google.com/file/d/16y-wpemDLCHrX-mqBs4Y9bfu02XVhf7R/view?usp=drivesdk
### Master Data Scientist
10alytics | 2024-04-01 | https://drive.google.com/file/d/1hQn3evhjNOHcUUMtLh3u3kXEO2yjXgRB/view?usp=drivesdk

## Skills
### Programming Languages
- Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, SciPy)
- SQL
### AI / Speech Technologies
- OpenAI Whisper (STT)
- Helsinki-NLP MarianMT
- HuggingFace Transformers
- NLP
- Sentiment Analysis
### Frameworks
- FastAPI
- Flask
- Streamlit
- Uvicorn
### Databases
- PostgreSQL
- MySQL
- SQL Server (SSMS)
### Machine Learning
- Supervised Learning (Regression, Classification)
- NLP
- Statistical Modeling
- Hypothesis Testing
- Feature Engineering
### DevOps
- Docker
- Docker Compose
- Apache Airflow
- Git
- GitHub
### Data Visualization
- Power BI
- Tableau
- Excel (Advanced Pivot Tables, Dashboards)
- Metabase
### Soft Skills
- Cross-Team Collaboration
- Stakeholder Management
- Problem Solving
- Agile Methodologies

## Projects
### Multilingual Speech Translation API
https://github.com/gogoharrison/multilingual-speech-translator
Developed a production-grade speech-to-text and translation pipeline using OpenAI Whisper (local inference) for audio transcription and Helsinki-NLP MarianMT models for multilingual translation, directly analogous to real-time conferencing translation systems.
### Production Analytics ETL Pipeline
https://github.com/gogoharrison/spark-etl-movie-analytics
Built a production-grade ETL pipeline processing 33.8M operational records using PySpark; orchestrated a 15-task Airflow DAG with MD5 hash-based change detection.
### YouTube Channel Analytics
https://github.com/gogoharrison/youtube-channel-analytics
Built an automated channel analytics pipeline using the YouTube Data API v3, extracting and processing 20+ metrics across 350+ videos for statistical performance analysis.
### NLP Sentiment Analysis System
https://github.com/gogoharrison/sentiment-analysis-system
Engineered an end-to-end NLP pipeline to classify e-commerce product reviews, achieving 93% model accuracy.

## Source
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