Christian Nanpyal Miri
Jos, Plateau State, Nigeria ************@*****.*** Linkedin URL +234********** Github link WORK EXPERIENCE
Intern Data Scientist (Remote) // EXPLORE AI, South Africa April 2022 - To date]
■ Collaboratively built a model that predicted the shortfall between energy supplied by renewable
sources and that of fossil fuels for Spain hosted on a kaggle competition. (team collaboration github link)
■ Used Natural Language Processing techniques to
identify languages used in a Sample data set on
Kaggle.(github link)
■ Built a movie Recommender System using
collaborative and content based filtering methods
capable of accurately predicting how a user will rate a movie they have not yet viewed based on their
historical preferences. Github link
■ Created a Machine Learning model to classify
whether or not a person believes in climate change based on their novel tweet data.Github link
Sales Executive // United Bank for Africa(UBA), Jos, September 2019 - February 2021
■ Converting at least 5 prospects to customers and opening accounts daily.
■ Enrolling customers on banks E-channels
Business Development and Marketing officer //
Light Microfinance Bank, Jos, Plateau state
August 2018 - August 2019
■ Grew business organically to 700m revenue
■ Loan recovery
EDUCATION
Data Science qualification Higher Certificate
Explore Data Science Academy, South Africa
2021 - 2022
■ Courses: Python for Data Science, SQL for Data
Science, Data Visualization with Power BI, Machine Learning (Regression, Classification, Unsupervised Learning).
.
Bsc. Economics
Bowen University Iwo, Nigeria
2009 - 2013
■ Second Class Honors (Lower Division)
OBJECTIVE/SUMMARY
I am a highly motivated Data Scientist/Machine learning Engineer, that is able to adapt to a fast paced and highly demanding work environment. I always strive to acquire new skills by taking on new challenging projects that drive value. SKILLS
■ Programming Languages: Python, SQL, DAX
■ Data Analysis/Data Visualization: Numpy, pandas, Plotly, Seaborn, Power BI, Tableau, Jupyter, SQlite, Matplotlib, Microsoft Excel.
■ Cloud Computing: Cloud Concepts, Cloud Security
and Compliance, Cloud Technology, Billing and Pricing, Integrating various Amazon Web Services cloud
packages.
■ Machine Learning: Scikit learn, Natural Language Processing Toolkit( NLTK), Keras.
■ Soft skills: Excellent communication, Team work, Empathy, Critical Thinking, Good Presentation Skills.
■ Others: MS Office (Power Point, Word, Outlook),
Trello, Google docs, Github, WordPress, Comet.
CERTIFICATIONS & LICENSES
AWS Certified Cloud Practitioner
Amazon Web Services(AWS)
2022
Fundamentals of Digital Marketing
2021
Employability Training
The Next Economy
2017
Citizenship and Leadership Training
Mountain School Shere Hills, Jos
2008