Python Developer

Data Scientist

I am an experienced Data Scientist with over three years of expertise in transforming complex datasets into actionable insights and developing scalable machine learning solutions. I hold a Bachelor's degree in Computer Science (Informatics Engineering) from Universitas Islam Indonesia, which has provided me with a strong foundation in data analytics, automation, and statistical modeling. Throughout my career, I have successfully collaborated with cross-functional teams to translate business requirements into impactful data-driven solutions. My core competencies include data preprocessing, statistical analysis, workflow optimization, and leveraging advanced tools such as Python, SQL, Pandas, and Tableau. Additionally, I have demonstrated the ability to optimize processes by automating manual tasks to enhance efficiency and accuracy. I am passionate about exploring innovative technologies in data science and eager to contribute my skills toward driving strategic decision-making in sectors such as Construction, Mining, IT Consulting, Banking, and FinTech.

Experience: 2 years

Yearly salary: $10,000

Hourly rate: $10

Residency: 🇮🇩 Indonesia

Experience

Data Scientist

PT. Guna Karya Hidup

2023 - 2023

Scraped and processed sales, product, and stock data from Jubelio API using Python, enabling detailed product performance analysis. Managed and optimized PostgreSQL databases, ensuring accurate and up-to-date datasets for reliable business reporting. Validated and organized customer contact data with the Sales team, improving targeted outreach campaigns. Analyzed product knowledge insights with Customer Service to enhance internal training materials. Developed a sales recommendation system in Python based on stock levels and sales history, boosting sales performance. Provided data-driven insights to support performance management and strategic decision-making.

Data Scientist

Freelance

2021 - 2022

Built a text emotion classifier using deep learning with Python, successfully processing CSV datasets to categorize emotional content. Created a motorbike recommendation system and deployed it as a web application using HTML/CSS, demonstrating full-stack implementation skills. Developed a heart attack risk predictor using Naive Bayes algorithm, enabling early detection through machine learning analysis.

Skills

big-data

data-science

python

english

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