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Schedule Interview NowNafeesah E. Data, Python and Blockchain
My name is Nafeesah E. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Data Analytics, Python, Machine Learning, FastAPI, Technical Writing, etc.. I hold a degree in Bachelor of Science (BS), Other. Some of the notable projects I’ve worked on include: Bitcoin Price Analysis and Real-Time Data API using FastAPI, Customer Churn Prediction Using Machine Learning, Customer Sentiment Analysis for Product Improvement. I am based in Kano, Nigeria. I've successfully completed 3 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
Main technologies
Data, Python and Blockchain
2 years
Data Analytics
1 Year
Python
1 Year
Machine Learning
1 Year
Additional skills
- Data Analytics
- Python
- Machine Learning
- FastAPI
- Technical Writing
- Predictive Analytics
- Data Visualization
- Data Preprocessing
- Blockchain
- Cryptocurrency
- SQL
- Exploratory Data Analysis
- JavaScript
- PHP
- Web Development
Direct hire
Potentially possible
Previous Company
Flutterwave
Experience Highlights
Bitcoin Price Analysis and Real-Time Data API using FastAPI
This project aims to develop a comprehensive API for Bitcoin price analysis, providing both historical and real-time data. Built with FastAPI, the API integrates with multiple cryptocurrency exchanges like Coingecko, CoinCap, Binance, and Kraken to deliver accurate and up-to-date pricing information. By focusing on efficiency and scalability, this API serves as a valuable resource for developers, traders, and analysts, facilitating informed decision-making in the volatile cryptocurrency market.
Customer Churn Prediction Using Machine Learning
The goal of this project was to predict customer churn for telecommunications companies using machine learning techniques. I implemented Random Forest and XGBoost models to analyse customer data and identify key factors influencing churn. By evaluating model performance with confusion matrices and classification reports, I provided actionable insights to help companies like MTN, Airtel, 9mobile and Outsource Global enhance their customer retention strategies. The project significantly improved decision-making processes, leading to potential revenue growth through reduced churn rates.
Customer Sentiment Analysis for Product Improvement
The goal of this project was to analyse customer reviews to determine their sentiment positive, negative, or neutral based on the text content of the reviews and associated metadata. Using Natural Language Processing (NLP) techniques, I extracted valuable insights into customer feedback, which helped identify product strengths and weaknesses. The analysis provided actionable insights that enabled the business to improve customer experience and refine product offerings, ultimately driving higher customer satisfaction.
Education
Ahmadu Bello University, Zaria - Kaduna State, Nigeria
Bachelor of Science (BS) in Statistics
2012-01-01-2016-01-01
Nigerian Defence Academy, Kaduna State, Nigeria
Other in Post Graduate Diploma in Management
2020-01-01-2021-01-01
Languages
- English
Github