Ifeanyi EzeIE
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Ifeanyi Eze

@ifeanyi_eze

Data enthusiast: Python, BI tools, ML, clean data, predictive models | Constant learner.

Nigeria
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What I'm looking for

Seeking a challenging role where I can leverage my Python & SQL skills to build impactful data solutions. Passionate about data visualization, ML, and driving insights for informed decision-making. Continuous learner, ready to contribute and grow in a dynamic environment.

I am Ifeanyi, an accomplished Data Analyst and fervent Data Science enthusiast. Proficient in Python programming, my expertise extends to data visualization through various BI tools, ensuring clear and insightful presentations for informed decision-making.


Key Highlights:


Programming Proficiency:
Adept in Python and R, facilitating advanced data analysis and machine learning tasks.


Data Visualization Expertise:
Skilled in leveraging BI tools to create impactful visualizations that enhance data comprehension.


Data Handling and Cleaning:
Experienced in using Python libraries such as Pandas and NumPy for meticulous data handling and cleaning.


Statistical Operations:
Well-versed in statistical operations and data exploration using tools like Seaborn.


Database Management:
Proficient in SQL and MySQL, ensuring efficient database management for analytical purposes.


Machine Learning Competence:
Applied machine learning techniques for predictive analysis using TensorFlow, OpenCV, and scikit-learn.


My continuous learning mindset and commitment to staying updated on industry trends make me a versatile professional ready to contribute to data-driven initiatives. I am confident in my ability to deliver impactful solutions in the dynamic field of data science.

Experience

SL

Data Analyst

SpeedCare Logisitics

May 2022 - Jun 2023 (1 year 1 month)

Conducted comprehensive data analysis for SpeedCare Logistics, leveraging advanced statistical methods, Excel, and Python libraries to derive valuable insights into operational performance and key business metrics.

Generated detailed and insightful descriptive reports, providing stakeholders with a clear understanding of trends, patterns, and opportunities within the logistics data landscape.

Tech stack

Learn about the tools and technologies that Ifeanyi likes to use.

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