Andrea Satria Nagari

Data Scientist | Machine Learning Engineer

Surakarta, ID.

About

Highly motivated and results-driven Data Scientist and Machine Learning Engineer with a strong foundation in Python, SQL, and advanced machine learning techniques. Proven ability to develop and deploy data-driven solutions, including predictive models, interactive dashboards, and NLP applications, as demonstrated through impactful projects. Eager to leverage analytical expertise and deep learning proficiency to solve complex challenges and drive innovation in a dynamic environment.

Work

Universitas Tidar

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Assistant Lecturer Introductory Programming Course

Magelang, Central Java, Indonesia

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Summary

Supported the teaching and learning process for an introductory programming course, contributing to curriculum development and student assessment.

Highlights

Assisted in delivering programming concepts, enhancing understanding for students and fostering foundational technical skills.

Collaborated with faculty on curriculum and material development, optimizing course content for improved pedagogical effectiveness.

Evaluated and provided constructive feedback on student assignments, directly contributing to student skill development and academic success.

Education

Universitas Tidar

Magelang, Central Java, Indonesia
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Bachelor Electrical Engineering Grade: 3.04/4.00

Courses

Final thesis: Implementation of Machine Learning Forecasting the Maximum Useful Power of Hydropower Plant

Bangkit Academy

Jakarta, Jakarta, Indonesia
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Career Readiness Program Machine Learning

Courses

Intensive, industry-driven career readiness program focused on Machine Learning, Data Science, Machine Learning Algorithms, Deep Learning, Soft Skills, English Language Proficiency, and Tensorflow Developer certification preparation.

Languages

English

Certificates

Tensorflow Developer Certificate

Tensorflow

DeepLearning.AI TensorFlow Developer Specialization

Coursera

TensorFlow: Data and Deployment Specialization

Coursera

Mathematics for Machine Learning Specialization

Coursera

Google IT Automation With Python Specialization

Coursera

Skills

Programming Languages

Python, SQL.

Data Science & ML Libraries

Pandas, Scikit-learn, Numpy, Tensorflow, Plotly, NLTK.

Machine Learning & Deep Learning

Machine Learning Algorithms, Deep Learning, Feature Engineering, Hyperparameter Tuning, Natural Language Processing (NLP), Sentiment Analysis.

Data Analysis & Visualization

Exploratory Data Analysis (EDA), KPI Visualization, Web Application Development, Data-driven Decision Making.

Tools & Platforms

Streamlit, GitHub.

Projects

Sentiment Analysis Dashboard

Personal Project

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Summary

Developed a sentiment analysis dashboard application using Python and Streamlit to analyze and classify user-generated text.

Sales KPI Dashboard

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Summary

Designed and deployed an interactive web application using Streamlit and Python to visualize key sales performance metrics.

Loan Predictor

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Summary

Developed a machine learning model to predict loan repayment outcomes, leveraging Pandas, Scikit-learn, Numpy, and Streamlit.