Fernando Nguyen

4.9

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Fernando Nguyen

4.9

Gender

Male

Address

Hanoi, Vietnam

Language

English - Advanced

Japanese - Advanced

Main expertise

Node.js AWS Machine Learning Data Scientists Python BigQuery Deep Learning Google Cloud Cloud Hadoop Elasticsearch Computer Vision

Introduction

Fernando Nguyen is an experienced Project Manager with a robust technical background in programming languages such as Java, C, C++, C#, Node.js, Ruby, Python, and Octave. He excels in database management with SQL, NoSQL, and Big Data technologies, including MySQL, MongoDB, Elasticsearch, BigQuery, Hive, Spark, and Hadoop. Fernando is skilled in data analysis using libraries such as Pandas, NumPy, SciPy, and Matplotlib. He possesses expertise in machine learning and AI techniques, encompassing computer vision (OpenCV, Pillow), natural language processing (SpaCy, Gensim, NLTK), and a range of machine learning algorithms like Linear Regression, K-nearest neighbors, Logistic Regression, Decision Trees, Random Forest, Gradient Boosted Decision Trees, SVM, and Deep Learning. He is experienced with cloud platforms like AWS and GCP and is familiar with DevOps tools and practices, including Docker, Kubernetes, Jenkins, and CI/CD pipelines.

Project list

Website Full Text Search Implementation

2015 - 2015

Developed a robust full text search functionality on a website using Java and Elasticsearch. Implemented entity extraction from text receipts to enhance search capabilities.

Utilized Java, Elasticsearch, and Java Spring to implement full text search functionality on the website. Extracted entities from text receipts to improve search relevance and efficiency.

Technologies: Java, Elasticsearch, Java Spring

Meeting Bot Development

2015 - 2016

A project focused on creating a bot to automate and assist with meeting-related tasks. The project also includes a feature for recognizing car numbers using image processing techniques.

Use Java and Vert.x to develop algorithms for meeting bot functionality based on academic research. Develop car number recognition preprocessing algorithms utilizing C++ and OpenCV for image processing.

Technologies: Java, vertX, C++, OpenCV

Developer Assistance Chatbot

2016 - 2017

A chatbot designed to assist developers in finding jobs and enhancing their skills.

Code and develop a bot that helps developers find jobs and improve their skills. Create and maintain database schema using MySQL and Elasticsearch, including querying. Develop the bot using Node.js, microservices, and the bot framework. Utilize Amazon Web Services (S3, EC2, SQS, SES, etc.) for server deployment and maintenance. Implement a crawl service to collect jobs from recruitment websites. Employ open-source NLP tools to extract entities and content, such as LUIS.ai and API.ai.

Technologies: MySQL, Elasticsearch, Node.js, S3, EC2, SQS, SES, LUIS.ai, API.ai

Real-Time Bidding System for Online Advertisers

2017 - 2020

Developed a real-time bidding system for online advertisers, including Demand-Side Platforms (DSP), Supply-Side Platforms (SSP), and Data Management Platforms (DMP). Built predictive models using Random Forest, Deep Learning, and Clustering techniques to estimate click-through rates for real-time bidding applications.

Tuned and evaluated prediction models for higher accuracy using metrics such as AUROC, AUPRC, Precision, and Recall on imbalanced datasets. Tuned Spark performance and improved code for faster execution when training models with big data. Investigated data to find bugs and enhance model and system performance using big data technologies like BigQuery and Spark. Created and tested hypotheses to improve model accuracy.

Technologies: Random Forest, Deep Learning, Clustering, AUROC, AUPRC, Precision, Recall, Bigquery, Spark

Estate Website Recommendation System

2020 - 2021

Developed and enhanced a recommendation system for an estate platform, integrating AI for improved user experience and scalability.

Build a recommendation system for the estate website utilizing AI models. Improve negative sampling in the AI model with a focus on positive and unlabeled examples. Migrate the AI model and training data to accommodate other customers on a global platform. Deploy a REST API. Optimize the performance of the REST API. Monitor the API server. Set up infrastructure on AWS. Track, analyze, and refine recommendations, achieving a 30% improvement in CVR. Propose and plan for subsequent phases of development. Set up and code an API Gateway for A/B testing and analyze the results. Scale the recommendation system for deployment in other companies.

Technologies: AI, AWS, REST API

Car Price Prediction and Unknown Model Detection

2021 - 2021

The project focuses on predicting car prices based on various car attributes and uses image-based detection for unknown car models not present in the training data.

Feature selection using statistical tests. Analyzed and tuned the car price regression model to improve the Mean Absolute Error (MAE) by 20%. Developed a model to detect unknown car models from images.

Technologies: statistical test

Image Background Removal Project

2021 - 2022

A project focused on removing backgrounds from images utilizing advanced deep learning techniques.

Crop object region using deep learning segmentation. Clean background from object region with deep learning edge detection. Design a pipeline with pre-processing and post-processing to achieve the best results.

Technologies: deep learning segmentation, deep learning edge detection

Website Performance Tracking and Analysis

2022 - 2023

This project involves leading an analytics team to enhance and monitor the performance of a website through comprehensive data tracking and analysis techniques.

Lead and support the analytics team in tracking and analyzing website performance. Set up and track website performance and user actions using Google Tag Manager and Google Analytics. Establish and track system performance with daily and monthly KPIs. Analyze website performance and KPIs to gain insights and support customer decision-making. Measure and analyze the impact of UI changes on website performance. Develop a system to detect cheating users in games, focusing on classification for imbalanced datasets. Train team members to enhance their skills. Conduct performance analytics for new features and website versions. Synchronize user data across various platforms to create user profiles and store them in a data warehouse. Apply data analytics to uncover insights from user data.

Technologies: Google Tag Manager, Google Analytics

Solar Power Plant Monitoring and Analytics Project

2023

The project involves developing an integrated solution for monitoring, data processing, and predictive analysis of solar power plants. It aims to enhance operational efficiency and identify anomalies by leveraging advanced analytics and machine learning techniques.

Lead and support the analytics team for the solar power plant tracking project. Collect data from sensors installed in solar power plants and create a data warehouse to store it. Use Airflow to retrieve data from external data warehouses such as Snowflake Marketplace and Google BigQuery. Transform raw data into features using Airflow, Dremio, DBT, and BigQuery. Utilize a PySpark cluster to train and optimize a model for predicting electric-generating power based on weather data. Deploy the model in production using Kubeflow. Create an algorithm for anomaly detection in sensor data to alert issues in the power plant. Develop a KPI dashboard for the power plant.

Technologies: snowflake, google bigquery, airflow, dremio, dbt, bigquery, Pyspark, kuberflow

Project list

Education

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