peter.pan.portfolio

Tech Vocational Pursuit

During my data science training, I immersed myself in SQL relational databases, machine learning (ML), and data analytics. I completed impactful projects such as developing a classification model using sensor data, enhancing object detection accuracy in computer vision, and analyzing sensor data for wearable fitness technology. These projects leveraged Python, SQL, statistical logics, and various BI tools such as Tableau and Jupyter to showcasing ability to tackle data-driven approach to various classification problems.

Wearable Telemetry Data

Experience the future of fitness technology through an innovative exercise classification model that harnesses sensor data patterns. This groundbreaking project seamlessly blends data analysis and machine learning, paving the way for a revolutionary wearable experience.

Object Detection Recognition

Witness the transformative power of convolutional neural networks (CNNs) as I optimize object detection to unprecedented levels. Through meticulous dataset curation and state-of-the-art TensorFlow model fine-tuning, I've achieved a staggering 70% mean Average Precision (mAP), obliterating the previous 30% benchmark by unifying the image dataset’s aspect ratio.

Relational DB W/ SQL Query

As a tech enthusiast, LLM tools have become an indispensable part of my daily productivity pipeline. From text-to-text and text-to-image to image-to-text, I leverage the power of automation to enhance efficiency while also using these tools as a medium for creative expression.eous terms.

B

Tech Vocational Pursuit

During my data science training, I immersed myself in SQL relational databases, machine learning (ML), and data analytics. I completed impactful projects such as developing a classification model using sensor data, enhancing object detection accuracy in computer vision, and analyzing sensor data for wearable fitness technology. These projects leveraged Python, SQL, statistical logics, and various BI tools such as Tableau and Jupyter to showcasing ability to tackle data-driven approach to various classification problems.

Wearable Telemetry Data

Experience the future of fitness technology through an innovative exercise classification model that harnesses sensor data patterns. This groundbreaking project seamlessly blends data analysis and machine learning, paving the way for a revolutionary wearable experience.

Object Detection Recognition

Witness the transformative power of convolutional neural networks (CNNs) as I optimize object detection to unprecedented levels. Through meticulous dataset curation and state-of-the-art TensorFlow model fine-tuning, I've achieved a staggering 70% mean Average Precision (mAP), obliterating the previous 30% benchmark by unifying the image dataset’s aspect ratio.

Relational DB W/ SQL Query

As a tech enthusiast, LLM tools have become an indispensable part of my daily productivity pipeline. From text-to-text and text-to-image to image-to-text, I leverage the power of automation to enhance efficiency while also using these tools as a medium for creative expression.eous terms.

B

Tech Vocational Pursuit

During my data science training, I immersed myself in SQL relational databases, machine learning (ML), and data analytics. I completed impactful projects such as developing a classification model using sensor data, enhancing object detection accuracy in computer vision, and analyzing sensor data for wearable fitness technology. These projects leveraged Python, SQL, statistical logics, and various BI tools such as Tableau and Jupyter to showcasing ability to tackle data-driven approach to various classification problems.

Wearable Telemetry Data

Experience the future of fitness technology through an innovative exercise classification model that harnesses sensor data patterns. This groundbreaking project seamlessly blends data analysis and machine learning, paving the way for a revolutionary wearable experience.

Object Detection Recognition

Witness the transformative power of convolutional neural networks (CNNs) as I optimize object detection to unprecedented levels. Through meticulous dataset curation and state-of-the-art TensorFlow model fine-tuning, I've achieved a staggering 70% mean Average Precision (mAP), obliterating the previous 30% benchmark by unifying the image dataset’s aspect ratio.

Relational DB W/ SQL Query

As a tech enthusiast, LLM tools have become an indispensable part of my daily productivity pipeline. From text-to-text and text-to-image to image-to-text, I leverage the power of automation to enhance efficiency while also using these tools as a medium for creative expression.eous terms.