Fredrick Kwabena Boateng

Accra

ad1oqf@r.postjobfree.com

+233**********

System / Network Administrator with 5 years’ experience with a passion for Data Analysis and Data Science.

I am a System Administrator with a profound interest in Data Analysis and Data Science and possesses a strong background in network administration and management and a working knowledge of Python. My skill set encompasses exceptional leadership acumen, a collaborative team spirit, adept planning and execution abilities, and effective communication skills. Willing to relocate to: USA, UK and GERMANY

Work Experience

Help Desk Assistant

Telesol Limited - Accra

September 2021 to Present

Assisting and providing internet solutions to clients. Troubleshooting and proposing the best system to help customers enjoy the very best of our services. Accomplishments.

Proposed and designed with Photoshop, the new data usage page for the client self care portal and soon to be deployed CRM software for the organization.

Education

Professional Certificate in Data Analytics Program AZUBI AFRICA - Accra

November 2022 to Present

Tertiary in Information Technology

Accra Institute of Technology - Accra

September 2016 to Present

Skills

• HTML

• Analytics

• Adobe Photoshop

• Help Desk

• Computer Networking

• Technical Support

• Operating Systems

• Project Management

• MySQL

• CRM Software

• LAN

• Python

• APIs

Links

https://github.com/kwabenaboateng

https://www.linkedin.com/in/kwabena-boateng

Publications

THE INDIAN STARTUP FUNDING - THE DATA ANALYST APPROACH https://www.linkedin.com/pulse/indian-startup-funding-data-analyst-approach-kwabena-boateng? utm_source=share&utm_medium=member_ios&utm_campaign=share_via April 2023

In recent years, MANY startup businesses have been receiving increased attention in many parts of the world. In India, the number of startups has emerged rapidly, and more support have been made available in all dimensions.

Its startup funding ecosystem has evolved dynamically over the last two decades. Some startups were founded in the 2000s, but the ecosystem was still immature as only a few investors were active and the number of support organizations such as incubators and accelerators was limited. INTEGRATING AN ML CLASSIFIER INTO A WEB APPLICATION WITH FASTAPO https://www.linkedin.com/pulse/integrating-ml-classifier-web-application-fastapi-kwabena-boateng? utm_source=share&utm_medium=member_ios&utm_campaign=share_via August 2023

Using an API architecture to deploy a machine learning (ML) model is generally considered a reliable method to interact with the model. Users who have authentication access can simply send an API request, expect a response, from the server hosting the model. In the case of this project, FASTAPI will be used because of its performance, documentation, and relevant framework for building APIs with the Python language. Also, a docker image will be created to deploy a Machine Learning Classifier built on SCIKIT Learn using FASTAPI. LEARNING TRANSFER LEARNING TO BUILDING A SENTIMENT ANALYSIS APP https://www.linkedin.com/pulse/leveraging-transfer-learning-building-sentiment-analysis-boateng? utm_source=share&utm_medium=member_ios&utm_campaign=share_via July 2023

Sentiment analysis, a powerful Natural Language Processing (NLP) technique, focuses on deciphering an author's intentions or opinions regarding a specific topic or subject matter within a text. This NLP approach categorizes sentiments as positive, neutral, or negative, making it invaluable for various applications, including enhancing customer service relations and filtering user interactions within a digital space. However, the development of robust text classification models demands substantial data, which may not always be readily available. Considering this challenge, the concept of transfer learning emerges as a game-changing solution. By leveraging knowledge from pre-trained text classification models, data scientists can create a sentiment analysis app hosted on platforms like Hugging Face Spaces.

TIME SERIES REGRESSION

https://www.linkedin.com/pulse/time-series-regression-kwabena-boateng? utm_source=share&utm_medium=member_ios&utm_campaign=share_via April 2023

Time Series Forecasting is a technique that utilizes historical and current data to predict future values over a period or a specific point in the future.

It can be used in different fields for time-based predictions such as Weather Forecasting Models, Stock Market Predictions, Signal Processing, Engineering Domain – Control Systems and Communication Systems.

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