Paschal Okonkwo
Data Scientist
Based in Lagos, Nigeria.
About
I am a highly motivated individual currently pursuing a career as a Data Scientist and interested in Machine Learning. I am undergoing an internship with Dataverse, where I am gaining practical experience and honing my skills in ETL process, data analysis and modelling. This experience has allowed me to apply my theoretical knowledge to real-world datasets, gaining practical insights into data exploration, cleaning, preprocessing and modelling. In addition, I am taking ALX Data Science Course to gain a comprehensive understanding of the core principles and concepts of artificial intelligence (AI), including machine learning, deep learning, natural language processing (NLP), and computer vision.
Skills
Projects
Experience
July 2023 - Current
Data Scientist at Algora
In my current internship position as a remote Data Analyst, I analyze and derive insights from data to support decision-making and drive business strategies. I employ analysis techniques to identify trends, patterns, and correlations within the data. I utilize visualization tools to create intuitive charts and graphs that effectively communicate findings to stakeholders. Additionally, I assist in data cleansing and validation processes to ensure data accuracy and integrity. Also, I have been applying machine learning algorithms to develop predictive models and generate actionable insights.
Education
January 2023 - July 2023
Utiva Data Science Bootcamp.
Data Analysis and Manipulation: Developed skills in data cleaning, manipulation, preprocessing and modelling of large datasets using Python as a programming language. Data Visualization: Acquired knowledge of data visualization principles and techniques to effectively communicate insights and patterns in data. Developed skills in using visualization tools such as Tableau and PowerBI to create visually appealing and informative charts, graphs, and dashboards. Machine Learning: Developed an understanding of machine learning algorithms including supervised and unsupervised learning techniques. Acquired knowledge of algorithms such as Linear Regression, Logistic Regression, Decision Trees, SVM and KNN.
May 2023 - Current
ALX Data Science Program
Gaining a comprehensive understanding of the core concepts of data science including machine learning, deep learning and natural language processing (NLP). Gaining insights into the strategic implications of AI for businesses, including identifying opportunities for AI implementation, assessing risks, and developing AI-driven business strategies. Understanding the impact of AI on business models, operations, and customer engagement. Data Analysis and Interpretation: Developing skills in analyzing and interpreting large and complex datasets, utilizing AI techniques to uncover patterns, trends, and insights that inform decision-making and drive business strategies.