Felicia Ihuoma

Felicia Ihuoma

Entry-Level Data Scientist
Port Harcourt, Nigeria.

About

Analytical and detail-oriented aspiring Data Scientist with a strong foundation in Python, data analysis, and statistical problem-solving, complemented by a background in microbiology, customer service, and education. Equipped with hands-on training from intensive bootcamps, industry-recognized certifications, and ongoing diploma studies in data science. Passionate about transforming raw data into actionable insights through cleaning, visualization, and predictive modeling. Combining critical thinking, adaptability, and clear communication honed through collaborative and client-facing roles, to deliver impactful solutions in fast-paced environments. Eager to contribute technical skills and a growth mindset to a team-driven data science initiative.

Education

Federal Polytechnic Nekede,Owerri

Higher National Diploma (HND)

Microbiology

AltSchool Africa

Online

Diploma in Data Science (In Progress)

Skills

Programming Languages

Python, SQL, MATLAB.

Libraries & Tools

pandas, NumPy, scikit-learn, Matplotlib, Seaborn, TensorFlow, Jupyter,Google Colab,Git.

Interpersonal & Communication

Verbal & Written Communication, Teamwork, Customer Service, Collaboration, Presentation Skills.

Organizational Skills

Time Management, Multitasking, Adaptability.

Problem Solving

Critical Thinking, Analytical skills.

Certificates

Biology meets programming: Bioinformatics for beginners

Issued By

UC San Diego (Coursera)

AI Career Essentials

Issued By

ALX Africa

Programming in MATLAB Non-Credit Online Summer Course

Issued By

University of Texas, Permian Basin

Data Science & Machine Learning Bootcamp

Issued By

IBT Learning Africa

Languages

English

Native

Projects

Housing Prices Prediction-Kaggle Learn Users Competition

Summary

Used a Random Forest regression model to predict house prices. Achieved a Mean Absolute Error (MAE) score of 21217.9 on the public leaderboard.

Movie Review Sentiment Analysis

Summary

Used NLP techniques (tokenization, lemmatization, and stemming ) to analyze IMDB movie reviews. Built a logistic regression model to classify reviews as positive or negative. Achieved 90% accuracy on the test set. Created an interactive web app using Streamlit for real-time sentiment prediction with word clouds for visual insights.

Work

Access Bank PLC
|

Teller/Customer Service Representative

Summary

Managed daily customer interactions and resolved complex issues to enhance satisfaction and retention.

Highlights

Process Optimization: Enhanced customer satisfaction scores by collaborating with team members to provide exemplary service and promptly addressing inquiries, increasing customer retention, and receiving positive feedback.

Technical Adaptation: Leveraged banking software to process transactions accurately, demonstrating attention to detail and comfort with data systems.

Data-Driven Problem-Solving: Resolved over 80 customer inquiries daily by maintaining up-to-date product knowledge and working closely with colleagues to solve problems, increasing customer satisfaction, and reducing follow-up inquiries.

Graceland College
|

Basic Science/Health Education Teacher

Summary

Developed and delivered comprehensive science curricula, improving student performance and engagement.

Highlights

Data-Informed Instruction: Improved student test scores by analyzing performance trends and adapting lesson plans to target knowledge gaps.

Visual Communication: Designed engaging presentations and visual aids to simplify complex scientific concepts.

Collaborative Analysis: Worked with staff to evaluate curriculum effectiveness using student feedback and grading data.