Na Allah Mkpuma Ifon

Data Scientist | Machine Learning Engineer

Lekki, NG.

About

Highly analytical and results-driven Data Scientist with a Bachelor's in Pure and Applied Physics, specializing in developing and deploying advanced machine learning models for financial risk management, fraud detection, and investment strategies. Possessing a strong foundation in Python, SQL, and leading data science frameworks, I am adept at translating complex data into actionable insights and optimizing processes. Eager to leverage a passion for data-driven innovation and problem-solving in a challenging data science role.

Work

Deloitte

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Data Scientist

Ikoyi, Lagos, Nigeria

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Summary

Applied advanced data science methodologies to enhance financial risk management, automate investment strategies, and ensure regulatory compliance within a leading consulting firm.

Highlights

Designed and implemented predictive models for robust risk management in financial services, enhancing decision-making capabilities and mitigating potential financial exposures.

Constructed sophisticated algorithmic trading models to automate and optimize investment strategies, improving efficiency and potential returns on capital.

Led portfolio optimization projects, leveraging comprehensive historical financial data to maximize returns and minimize risk for diverse client portfolios.

Deployed regulatory compliance tools, incorporating rigorous data validation and audit tracking systems to ensure strict adherence to industry standards and regulations.

Zidio

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Data Scientist Intern

New Delhi, Delhi, India

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Summary

Contributed to data science initiatives focused on fraud detection, financial analysis, and data pipeline development within a dynamic tech environment.

Highlights

Developed and implemented supervised machine learning models for fraud detection, enhancing security protocols and improving the accuracy of anomaly identification.

Performed comprehensive stock analysis and time series forecasting using Python and Tableau, providing data-driven insights to inform strategic financial decisions.

Engineered robust data pipelines and interactive dashboards to continuously monitor anomalies in financial transactions, enabling proactive identification of irregularities and reducing potential losses.

Volunteer

ICT Lead

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NYSC CDS Group

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Led community-based ICT initiatives, providing digital literacy and coding education to youth and local government staff while promoting e-learning awareness.

Highlights

Spearheaded community ICT training programs, significantly enhancing digital literacy and technical skills for local youth and government staff.

Organized and delivered weekly educational sessions covering essential digital skills, MS Office proficiency, and fundamental coding principles to diverse community members.

Collaborated effectively with NYSC leadership to promote e-learning awareness, expanding access to vital educational resources in underserved rural areas.

Education

Kebbi State University of Science and Technology, Aliero

Aliero, Kebbi State, Nigeria
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Bachelor of Science Pure and Applied Physics Grade:

Certificates

Data Analytics

W3Schools

Machine Learning

GeeksforGeeks

Tableau Specialist

Udemy

SQL for Data Analysis

DataCamp

Python for Data Science

Coursera

Skills

Programming Languages

Python, SQL, R, HTML/CSS, JavaScript.

Developer Tools

Jupyter, VS Code, Git, Docker.

Data Science & Machine Learning

Tableau, Power BI, Google Cloud Platform (GCP), Scikit-learn, Pandas, NumPy, TensorFlow, Prophet, SHAP, yFinance.

Frameworks

Streamlit, Flask, Django.

Core Competencies

Predictive Modeling, Time Series Forecasting, Fraud Detection, Risk Management, Algorithmic Trading, Portfolio Optimization, Data Pipelining, Data Visualization, Regulatory Compliance, Data Validation, Audit Tracking, Model Explainability, Web Application Development.

Projects

Fraud Detection System

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Summary

Deployed an ML-powered API to detect potential fraud with real-time model explainability, enhancing transparency and security.

Stock Price Forecasting

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Summary

Built a time-series model to forecast future stock prices with visual insights, aiding in investment decision-making.

Loan Default Prediction

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Summary

Developed an interactive web application to predict loan default likelihood based on customer features, providing a robust tool for risk assessment in financial services.