VINCENT ONYECHEREM IKENNA

VINCENT ONYECHEREM IKENNA

DATA SCIENTIST

Moq 109 Bq TA lagbaja Cantonment, 102212, Ikeja, NIGERIA.

About

Highly analytical Data Scientist with a proven track record in information technology and data management, adept at solving complex problems through rigorous data analysis. Expertly identifies patterns and trends, delivering valuable insights that empower strategic decision-making and drive business growth across diverse datasets and domains.

Work

GOMYCODE

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Data Scientist

Lagos, Lagos, Nigeria

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Summary

Led comprehensive data science initiatives from data acquisition to model deployment, delivering actionable insights to drive strategic decision-making and enhance operational efficiency.

Highlights

Developed and implemented advanced data mining techniques, including clustering, classification, and regression, to extract critical patterns and insights from large, complex datasets.

Conducted in-depth data analysis, wrangling, and exploration, identifying key trends and hidden relationships to inform and support strategic business decisions.

Designed and deployed robust machine learning models for prediction and interpretation, significantly improving forecasting accuracy and data-driven outcomes.

Utilized data visualization tools such as Tableau and Power BI to create informative and visually appealing dashboards, facilitating clear communication of complex data insights to stakeholders.

Applied Natural Language Processing (NLP) techniques to unstructured data, enabling deeper textual analysis and extracting valuable insights for enhanced data interpretation.

Education

GOMYCODE

Lagos, Lagos, Nigeria
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Diploma Data Science

IMO STATE UNIVERSITY, OWERRI

Owerri, Imo State, Nigeria
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Bachelor of Agriculture Crop Science and Biotechnology

Languages

English

Skills

Data Mining

Clustering, Classification, Regression, Pattern Extraction, Insight Generation, Complex Datasets.

Data Analysis

Complex Datasets, Trend Interpretation, Business Intelligence, Strategic Decision Support.

Data Cleaning & Preprocessing

Data Quality Management, Data Imputation, Outlier Detection, Missing Value Handling.

Data Modeling

Data Management, Model Development, Model Implementation.

Data Visualization

Tableau, Power BI, Informative Visualizations, Data-Driven Communication, Dashboard Creation.

Machine Learning

Predictive Modeling, Model Training, Algorithm Development.

Natural Language Processing (NLP)

Text Analysis, Sentiment Analysis, Text Mining.

Data Wrangling

Data Transformation, Data Exploration.

Projects

British Airways Data Science Job Simulation on Forage

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Summary

Completed a comprehensive data science simulation focused on integrating data science principles into British Airways' operational success.