Koryo Kakinoki

Experienced finance and management professional spanning over 3 years. Strong background in transaction analysis, data-driven insights, and strategic solutions. Eager to transition into a dynamic role within the finance sector or data-driven industry. My dedication to productivity, coupled with strong organisational skills, ensures both efficient processes and high-quality results. Recently, I obtained an Associate Data Scientist certificate from DataCamp to accelerate my skill development.

House Sales Prediction, March 2024. 

Skills used: Pandas, Numpy, Matplotlib, Linear Regression, Random Forest & Feature Engineering. 

• Utilised Python and data analysis libraries to conduct exploratory data analysis on a real estate dataset, identifying key factors influencing house prices.
• Implemented machine learning models to predict house sale prices, demonstrating the ability to optimise listing prices and enhance market competitiveness.

Clustering Antarctic Penguin Species, February 2024.

Skills used: K-means Clustering, Principal Component Analysis (PCA), Visualisation, 

• Utilised unsupervised learning techniques on a curated dataset to explore information about penguins.
• Extracted meaningful features and uncovered hidden patterns, clusters, and relationships within the dataset.

Predicting Credit Card Approvals, February 2024. 

Skills used: Logistic Regression, Model Performance, scikit-learn, Hyperparameter tuning, 

• Applied machine learning techniques to build an automatic credit card approval predictor, streamlining the application process for commercial banks.
• Conducted data preprocessing, including segregating features and labels, feature rescaling, and training and evaluating a logistic regression model, demonstrating proficiency in data preprocessing and model training.

• Tools: Microsoft Excel, PowerPoint and Word, Python, SQL and Tableau.

• Financial Skills: Financial modelling, Financial, Investment, Stock & Fixed assets, Data and Credit analysis and FOREX trading.

• Accomplished Courses: Data Scientist with Python (DataCamp), Business Writing Principles (LinkedIn), Investment Management Specialization (Coursera), Algorithmic Trading A-Z with Python, Machine Learning & AWS (Udemy), Excel for Investment Professionals (LinkedIn), and The Business Intelligence Analyst Course 2023 (Udemy).

• Entrepreneurial mindset: Participated in a Start-up game held at the University of Birmingham. Achieved 1st class mark for my dissertation, titled ‘Entrepreneurship and business growth: where would business growth sit?’.

Data Scientist Associate: Certified by DataCamp. Obtained competencies across data-specific domains like data management, exploratory analysis, statistical experimentation, modelling, data science programming, and data communication.