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Hello, I'm

Fauzan Rizky

I'm Into

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Get To Know More

About Me

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Experience

Data Analytic
Projects & Certifications

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Education

Information Systems,
Bachelors Degree (ongoing)

A third-year Information Systems student at the University of Indonesia. Have undertaken various projects and coursework that have provided me with a solid foundation in data analysis techniques, database management, and programming languages such as Python, Java, and SQL. I also involved with voluntary organizational activities which equipped me with strong communication and public speaking skills.

My passion for continuous learning and self-improvement drives me to stay updated with the latest developments in the field of data analytics through online courses and individual projects. I am eager to explore new opportunities that will allow me to further enhance my skills and contribute effectively to the field. Please feel free to reach out to me via LinkedIn message or email (mfauzan.rizky@gmail.com) for any further discussion or inquiries

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Explore My

Skills

Machine Learning

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Tensorflow

Experienced

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Supervised Learning

Experienced

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Unsupervised Learning

Intermediate

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NLP

Beginner

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CNN

Beginner

Database & Visualization

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Python

Intermediate

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SQL

Intermediate

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Microsoft Excel

Experienced

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Tableau

Intermediate

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Airflow

Beginner

Project Management

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Waterfall

Experienced

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Agile

Experienced

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Scrum

Intermediate

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Asana

Basic

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Notion

Intermediate





Browse My Recent

Projects

Project 1

Learntelligence: AI Generated Course App

Me and my team built AI Generated Course App for COMPFEST-16 AI Innovation Challenge. My role in this project is to fine-tune LLM Model (Phi-3 with Unsloth), and develop backend logic that are relevant to the Model (Create chapters, materials, quiz)


Project 3

FitFirst

A personal diet assistant mobile application with workout plan, diet plan, calories analysis, and tracker for workout and diet goals. My role in this project is to build a workout recommender system using cosine similarity, and image classification to identify food nutrients from image.


Project 3

Social Media Sentiment Analysis

I collect Twitter data (𝕏) using web scraping via Selenium. Next, I reformat the data, translate tweets, and use a RoBERTa model for sentiment analysis. Once the data is cleaned and structured, it's uploaded to BigQuery. Finally, I showcase and deploy various visualizations in Streamlit.


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