• 🔭 I’m currently working as a Data Science Intern at Codveda Technologies, where I apply machine learning models to solve real-world problems.
• 🌱 I’m passionate about Data Science, Machine Learning, Deep Learning, and AI technologies.
• 📚 I’m actively contributing to open-source projects and looking for more collaboration opportunities in data science and machine learning.
• 🥅 2025 Goals: Further deepen my expertise in Quantum Machine Learning, Time Series Analysis, and Natural Language Processing.
• 🍿 Fun fact: When I'm not coding, I enjoy watching football, keeping up with football trends, cheering for Chelsea FC, exploring nature photography, building things, and reading biography books to learn from inspiring life stories.

Python	R	SQL	VS Code	Google Colab	Streamlit	RStudio
SPSS	Minitab	SAS	Eviews	MySQL	Oracle	SAP

Scikit-learn	TensorFlow	PyTorch	Pandas	NumPy	Matplotlib
XGBoost	Seaborn	Scipy	Keras	NLTK	LightGBM

Excel

Google Sheets

Tableau

Power BI

Looker Studio

Plotly

Shiny

• Portfolio Website: A showcase of my data science and machine learning projects, including interactive visualizations.
• Disease Outbreak Prediction System: A time series prediction model for forecasting disease outbreaks.
• Stock Price Prediction Model: A machine learning model to predict stock prices using historical data.

Acer Nitro 5 AN515-57 - 71CV
Display: 15.6" FHD LED IPS 144Hz (1920x1080) Acer ComfyView™ LED-backlit TFT LCD
Processor: Intel® Core™ i7-11800H processor (24MB cache, up to 4.60Ghz)
Memory: 1x16GB DDR4
Storage: 512GB SSD NVMe
Graphics: NVIDIA® GeForce® RTX 3050 4GB GDDR6
Operating System: Windows 11 Home + Office Home and Student
Networking: Wi-Fi 6 AX201 Killer™ Ethernet E2600+ BT 5.1
Battery & Power adapter: 180W
Weight: 2.4KG
Camera: Integrated Camera
Audio: Dolby Audio Premium
Ports:

• 1x USB 3.2 Gen-2 featuring power-off USB charging
• 2x USB 3.2 Gen-1
• 1x HDMI® 2.0 port with HDCP support
• 1x USB Type-C port (up to 10 Gbps)
• 1x 3.5mm headphone/speaker jack
• 1x DC-in jack for AC adapter

💾 365 Days of Computer Vision - A comprehensive collection of daily Computer Vision learning exercises. 🔗

• GitHub: ChandraPC3000
• LinkedIn: Chandra Putra Ciptaningtyas
• Instagram: @ciptaning.chan