Nicholas Mark Email & Phone Number

Los Angeles, Ca, Us

San Diego, California, United States

• Developed a Python server and APIs for data processing, retrieval, and real-time data analysis of chip performance.• Implemented data visualization server and dashboard using Matplotlib and Plotly to enhance data tracking.• Developed data migration Java server with custom memory manager to monitor load tests and logs and chip metrics.• Used Fluentbit to lower CPU consumption by 80% managing log processing and validate chip metrics in real-time.• Developed and implemented data pipelines in GCP and Kafka, enabling seamless collection and processing of chip performance data in real-time.

California, United States

• Built entire website pages for various UC Berkeley programs and courses using AngularJS and Drupal.• Updated and maintained existing webpages for better performance, reusability, and automating updates.• Optimized ad scheduling based on enrollment and expected return on investment using Javascript and GCP DML.• Integrated Google Analytics to track website traffic and gather marketing metrics in Javascript with smart alerts.• Developed Google Ads alerts that trigger on broken ad links, low “Impression Scores”, and over-spending• Introduced automated performance tracking and alert mechanisms, ensuring consistent ad quality and efficiency.

• Delivered IT customer support for UCLA technology services, specializing in troubleshooting UCLA software, maintaining key databases, and resolving a wide range of computer-related issues• Trained and mentored newly hired IT consultants, imparting skills in both customer service and technical support. • Managed UCLA database systems, ensuring integrity and security and sending alerts for discrepencies and misuse.

Ucla

• Developed a TensorFlow Model that analyzed and predicted various properties of glass based on composition and production methods.• Created a scraping job to parse through academic papers and research papers to train ML model to predict glass strength, durability, and grade based on chemical compositions and manufacturing processes.• Implemented GCP instance for scalable data processing and continuous data ingestion.

• Developed a predictive model to assess startup success, focusing on investor profiles and patent quality, utilizing• Python data analysis including Pandas and NumPy, and PostgreSQL.• Examined the correlation between diverse demographics in TV production teams and TV ratings, providing insights on potential higher barriers to entry for minority groups.• Deployed large scale web scraping application to process millions of patent records and TV datasets.

San Francisco Bay Area

• Developed the Java app that enables users to draw boundaries around objects in an image, and uploading the new file to a database used to train the object classifier algorithm.• Built Python jobs to scrape, clean, and classify images into database used to train the object classifier.• Developed database APIs for the Java app and Python job and designed the database schema for the object classifier.

Bachelor Of Science - Bs, Computer Science

Education record

Activities and Societies: Science Olympiad, Cross-Country, Track, National Honor Society