Hi, I'm Azzan Dwi Riski
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Fresh graduate specializing in machine learning and data analysis. Passionate about building AI solutions that solve real-world problems.
About Me
Fresh graduate in Informatics from Universitas Mercu Buana with a strong interest in machine learning and data analysis. Experienced in building machine learning and deep learning models using Python, scikit-learn, PyTorch, and TensorFlow.
Machine Learning
Skilled in building and deploying machine learning models for various applications.
Deep Learning
Experience with PyTorch and TensorFlow for computer vision and NLP tasks.
Data Analysis
Proficient in exploratory data analysis, data preprocessing, and visualization.
Problem Solving
Strong analytical skills and ability to solve complex technical challenges.
Education
Bachelor of Informatics Engineering
Mercu Buana University, Jakarta
August 2021 – August 2025
High School Software Engineering
Telkom Purwokerto Vocational High School
June 2018 – May 2021
My Skills
I've developed a diverse set of skills in machine learning, data analysis, and software development.
Work Experience
My professional journey and experiences that have shaped my skills and expertise in machine learning and data analysis.
IT Student Intern
BPTIKP Jawa Tengah
- •Assisted in developing an educational quiz game focused on space exploration using Java.
- •Supported the creation of a visitor satisfaction survey website for BPTIK.
- •Contributed to the development of a digital guest book web application to improve visitor tracking.
Machine Learning Cohort
Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka
- •Completed intensive training on Python, data analysis, machine learning, computer vision, and NLP through Coursera and Dicoding platforms.
- •Gained practical experience in TensorFlow deployment and ML project management with mentoring from industry experts.
- •Developed essential soft skills including critical thinking, problem solving, and professional communication in a multidisciplinary tech environment.
Research and Technology Division
Association of Computer Science Students
- •Mentored new students in web development and basic programming.
- •Supported learning sessions and encouraged technical growth.
My Projects
Here are some of the projects I've worked on, showcasing my skills in machine learning, data analysis, and software development.
Multimodal Classification for Gambling Web Detection
Designed and implemented a multimodal classification system combining Computer Vision and NLP for identifying gambling websites. Applied transfer learning, custom fine-tuning, and fusion strategy to integrate visual and textual information.
DermoAlly - AI Skin Condition Detection App
Developed an AI-powered Android app to detect facial skin conditions using a CNN-based image classification model. Built an end-to-end ML pipeline: data collection, preprocessing, augmentation, training, evaluation, and model deployment.
Bank Customer Churn Prediction
Implemented a machine learning model to predict customer churn among bank customers using demographic and transactional features. Conducted data cleaning, exploratory analysis, feature engineering, and applied classification algorithms to identify churn risks.
Student Performance Prediction Using Machine Learning
Built a machine learning pipeline to predict student performance using demographic and academic features. Performed EDA, feature selection, model comparison (KNN, Decision Tree, etc.), and analyze factors influencing academic success.
Customer Sales & RFM Analysis
Analyzed customer, order, product, and sales data to answer key business questions. Performed full data wrangling (merging, cleaning, type conversion) using Python. Created EDA visualizations for trends, customer demographics, and product performance.
Bike Sharing Dataset Analysis
Analyzed the Bike Sharing dataset to uncover patterns and business insights. Answered business questions like seasonal trends, user type distribution, and time-based usage. Built an interactive dashboard using Streamlit to present findings clearly.
Sentiment Analysis on News Headlines
Performed sentiment analysis on news headlines using Natural Language Toolkit (NLTK). Built a custom preprocessing pipeline including tokenization and stopword removal, then trained a Naive Bayes Classifier for binary sentiment classification.
Study with Active Recall LLM App
Developed an AI-powered Active Recall learning app using Next.js and FastAPI, integrating multi-format content ingestion (PDF, URL, text) and OCR with PaddleOCR. Implemented FAISS-based Retrieval-Augmented Generation with Gemini API for adaptive flashcard and quiz generation, alongside with AI grading. Deployed with PostgreSQL, SQLAlchemy ORM, and Docker.
My Certifications
I've earned various certifications to enhance my skills and knowledge in machine learning, data science, and programming.
DeepLearning.AI TensorFlow Developer Specialization - DeepLearning.AI
TensorFlow: Advanced Techniques Specialization - DeepLearning.AI
TensorFlow: Data and Deployment Specialization - DeepLearning.AI
Machine Learning Specialization - DeepLearning.AI, Coursera, Stanford CPD, UVM
Mathematics for Machine Learning and Data Science Specialization - DeepLearning.AI
Belajar Analisis Data dengan Python - Dicoding Indonesia
Process Data from Dirty to Clean - Google
Analyze Data to Answer Questions - Google
Share Data Through the Art of Visualization – Google
Java Fundamental & Java Programming - TSA Digital Talent Scholarship 2023
Get In Touch
Feel free to contact me for any work or collaboration opportunities, or just to say hello!
Contact Information
I'm currently available for freelance work, collaborations, and job opportunities. Feel free to reach out!
azzandwiriski145@gmail.com
Phone
+62 858-6607-3348
Location
Jakarta, Indonesia