自訂 Cookie
禁止且拒絕未經各資訊當事人同意，擅自蒐集本服務提供的使用者個人資訊資料等資料之行為。即使是公開資料，若未經許可使用爬蟲等技術裝置進行蒐集，依個人資訊保護法可能會受到刑事處分，特此告知。
© 2025 Rocketpunch, 주식회사 더블에이스, 김인기, 大韓民國首爾特別市城東區聖水一路10街 12, 12樓 1號, 04793, support@rocketpunch.com, +82 10-2710-7121
統一編號 206-87-09615
更多
ZiyaddinovAsiman
I specialize in machine learning and data science, aiming to drive innovation in finance and business, with plans to advance my career in Silicon Valley.
經歷
- Enhanced the service user interface by leading the UX/UI team, informed by user behavior analysis through Hotjar and Google Analytics. - Developed a comprehensive data collection strategy from the ground up and implemented it using Google Tag Manager. - Increased efficiency by 90% by automating the collection of POS data through web scraping, and created a recommendation system from scratch.
更多
- Conducted in-depth research on Object Detection and Instance Segmentation, thoroughly analyzing and replicating key works by prominent authors, including [Zhang et al. 2022], [Wang et al. 2022], [YOLOv5 2022], [Liu et al. 2021], [Wang et al. 2021], and [Hurtik et al. 2020]. - Developed a complete machine learning pipeline, along with data processing and visualization tools for data generation and analysis. - Achieved 90 mAP and 100 FPS (<10 ms) inference by creating lightweight models for detecting anomalies in noisy Railway and Catenary datasets. - Built software to flag incorrect model detections and allow users to provide feedback through the system. - Deployed the models using a TCP-based control software integrated into a PyQt Graphical User Interface (GUI).
更多
學歷
I am a Computer Science major specializing in machine learning and data science, with a strong interest in applying these skills across both finance and business sectors. My goal is to work as a data scientist, leveraging data-driven insights to solve complex challenges and enhance decision-making processes. I am passionate about using innovative technologies to drive meaningful improvements in these industries while ultimately advancing my career in Silicon Valley.
更多
活動
最近活動
獲獎 1
專案 2
프로젝트
Financial Forcasting Model
2023년 6월 - 2023년 10월 · 5개월
Developed a machine learning model using historical financial data to predict stock prices, employing algorithms such as LSTM and ARIMA for time series analysis. Evaluated model performance using metrics like RMSE and MAE.
프로젝트
Exploratory Data Analysis (EDA) on COVID-19 Data
2022년 6월 - 2022년 8월 · 3개월
Conducted an in-depth exploratory data analysis on COVID-19 datasets to identify trends and patterns. Visualized key metrics such as infection rates and recovery statistics using Python libraries like Matplotlib and Seaborn.
수상
International Biology Olympiad
International Biology Olympiad · 2020년 8월
International Biology Olympiad