ANDREAS
LUKITA
DATA SCIENCE PORTFOLIO
"Live as if you were to die tomorrow. Learn as if you were to live forever."
01 About Me
Welcome to my data science portfolio website! Here, I showcase my skills, projects, and the books I read. As a data scientist, I am passionate about finding key business insights to make data-driven decisions. My expertise includes machine learning, statistical analysis, and data visualization.
02 Projects
Check out my projects page to see some of my latest work such as predicting bank marketing success and sentiment analysis. My Portfolio page provides an in-depth overview of my technical expertise, including programming languages, software tools, and data science techniques.
03 Skills and Expertise
As a business school student specializing in business analytics, I aim to be more intentional in producing data-driven business insights through my work. My goal is to improve and optimize results, make the right decisions for businesses and save costs.
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I am experienced in building predictive models through machine learning, supervised and unsupervised algorithms, and using data visualization techniques to present the results. I mainly use Python, R, and SQL for my data projects.
Data Wrangling and Analysis
Clean, transform and analyze data and trends to uncover hidden insights from data.
Data Visualisation
I make easy-to-understand and meaningful visualisation to drive decision-making.
Predictive Analytics
I build predictive machine learning models such as regression and classification
Programming Language
I mainly analyze my data using Python, R and SQL. I do have formal training in Java too.
04 Medium Blogs
"Learning solidifies in the crucible of teaching; when knowledge is shared,
it transforms into wisdom, weaving a legacy of understanding."
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Check out my articles on Data Science and Machine Learning tips in Medium and Towards Data Science publications.
05 Books I Read
"Books that sculpted me, now echo in my work's rhythm and style.
Inspiration found in pages past, guides my pen's journey today."
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Check out some of my all-time favorites on Data Science and Machine Learning that inspire.
