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果 專案 的介紹可以來我的作品展示網站看看 https://hirortw101.github.io/ [email protected] Python Deep Learning PyTorch FastAI Keras ultralytics/yolov5 Image Processing OpenCV scikit-image Data Analysis Numpy Pandas Matplotlib Plotly TensorBoard GUI PyQt 開發環境/工具 OS Windows Manjaro Ubuntu IDE Anaconda Jupyter PyCharm VScode Tool Docker Git Edge computing PyTorch Mobile Jetson Nano TensorRT 專業課程 影像處理 計算機視覺 類神經網路

PostgreSQL, MySQL No-SQL: Redis, MongoDB, Cassandra, TimescaleDB 工具 Message Queue: Kafka, Celery, Redis, NATS Protocol: HTTPS, DNS, MQTT, OAuth2, BLE Schema: JSON, Protobuf, Thrift Version control: Git DevOps Container: Docker, Kubernate, Helm CI & CD: Gitlab-runner, Jenkins, ArgoCD Monitor & Err. Tracking: Sentry 數據分析 Library: Pandas, Numpy, Scipy Framework: PySpark 硬體嵌入式 OS: Linux, Zephyr, Android, OpenWRT I/O Protocol: I2C, UART, SPI Board: Sigmastar, Nordic 經歷 系統架構 @ 鼎佑科技股份有限公司 鼎佑科技主要是間

Analytics •OctoberJuly 2022 at Coursera | Google Google Data Analytics Professional Certificate Skills: Data Wrangling, Data visualization, Data sharing, and Data analysis using python. Internship Trainee • OctoberJuly June 2021 at FWD Data Analysis, Nanodegree Data wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like Pandas. Learning how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models. Data Collection - Data Cleaning - Data Process - Data Visualization - Business - Communication. Student Trainee • OctoberNovember 2020 at ITI Specialization: Open Source. Courses: HTML

University Bachelor of Business Administration in Finance and Cooperative ManagementSide Projects Bellabeat Case Study Analyzed smart device usage data to understand how consumers use smart devices. Cleaned, merged, and manipulated large datasets using R language. Heart Disease Classification (Machine Learning) Built a machine learning model using Python to predict whether individuals have heart disease or not based on their medical attributes. It is a classification problem of supervised learning. Skills SQL Python Pandas Numpy Matplotlib Scikit-Learn R Java Tableau Microsoft Office Google Sheets Communication Skills Detail Oriented Language English — 專業 Chinese — ...

[email protected] Poblete Risk and Systems Analyst with over 3 years of experience in data analysis and systems analysis using SQL, Python, JIRA, etc. Skilled at retrieving, cleaning, and transforming large datasets using SQL and Python libraries such as NumPy, Pandas, Matplotlib, etc. for data visualization and modeling. Skilled at analyzing complex business problems, proposing and implementing efficient and effective solutions, and ensuring the smooth transition of new systems into production. Strong ability to communicate findings and insights to both technical and non-technical stakeholders. Seeking a challenging role where I can

Pages , Keynote , Trello Design Tools Figma：Wireframe 繪製、簡易Prototype製作 Canva：海報、粉專圖文、書冊等輸出 基礎程式語言能力 Python：撰寫簡易爬蟲程式抓取資料，並以Numpy、Pandas處理資料 html/CSS：了解網頁架構，主要於爬蟲時使用，也是與UI/UX的溝通基礎，能撰寫簡單靜態網頁 C#：製作簡易.NET

link to full article 關鍵字：A/B Testing、python kaggle-波士頓房價預測 以地段、房子大小、年代等等特徵用機器學習預測房屋成交價。過程中先用pandas、numpy、matplotlib、seabon等等套件對資料做清洗、視覺化分析後初步選出重要特徵，最後利用機器學習預測出房價。 link to full article 關鍵字： python 、machine