Hi! This is Jiatao.
A skilled developer with industry experience in programming and data analytics.
I’m passionate about solving complex problems and snowboarding.
I bring precision and resilience to all I do.
Technical Skills
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Programming: |
Python, Java, Shell, HTML/CSS, SQL, Flask, Django, RESTful API |
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Machine Learning |
Scikit-learn, PyTorch, TensorFlow, NLP, Kafka, Hive/HBase, Oracle, PostgreSQL |
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Technologies: |
Linux, Docker, AWS, Spark, Distributed Computing |
Education
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University of Texas at Dallas |
Aug 2021 - now |
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Courses: Big Data Management and Analytics, Design and Analysis of Computer Algorithms, Machine Learning, Database Design, Artificial Intelligence, Web Programming Languages, Object-Oriented ANALYS & DSGN |
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Chengdu University of Information Technology |
Sep 2010 - Jun 2014 |
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Courses: Fundamentals of College Computers，Visual Basic Languaqe Proqramming，Statistics Theory，Probability Theory and Mathematical statistics，Principles and Application of Database(SQL Server)，Basis of Network security |
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Experience
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Chengdu Fanglian Cloud Code Technology |
Nov 2019 - May 2021 |
Project: Real Estate Appraisal System (Modeling-API)
- Built the Real Estate Appraisal System to provide banks with real-time pre-owned housing price appraisals.
- Developed a real-time data collection system with Python and Kafka, collected over 3 million pieces of price data from multiple housing websites, kept the database synchronized with housing market.
- Designed and implemented the appraisal model for real-time pre-owned housing price with appraisal deviation controlled within 5%; developed REST APIs with Django to provide appraisal service, with estimated prices.
Project: Real Estate Transaction Big Data Platform
- Established the cloud big data platform for real estate transactions, provided market reference indexes.
- Implemented data pipeline to process the multi-source transaction data in over 20 counties; provided statistical functions, designed the database (Oracle) with daily automatic updates.
- Created indicators of real estate market and implemented the front-end visualization with Vue and Echarts.
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Full Truck Alliance, leading truck-hailing company |
May 2018 - Sep 2019 |
Project: Optimization of Navigation System for Freight Fleets
- Upgraded the navigation system of the company-owned fleets to reduce fuel, toll and time cost.
- Devised about 3 million key navigation paths based on the DFS path search and path similarity analytics; reduced the total cost for fleets by 5%.
- Further optimized the navigation system by designing and integrating path correction algorithm.
- Utilized Slurm to orchestrate asynchronous data preprocessing, training, and testing across multiple computing clusters, significantly reducing time consumption for modeling across 300 languages.
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Think Tank 2861 Info Tech |
Jul 2017 – Apr 2018 |
Project: Public Opinion Analysis
- Integrated public opinion analysis with resource distribution to evaluate County Government performance, resulting in a 90% positive response in user feedback.
- Built and deployed a distributed, multi-threaded web crawler on Alibaba Cloud, successfully scraping 60 million reviews from major social media platforms and storing in PostgreSQL database.
- Constructed a dynamic sentiment analysis model using logistic regression, Naïve Bayes, random forest, SVM, kneighbors, RNN, and other algorithms to optimize performance.
- Devised quantitative indicators for evaluating resource distribution in 2,861 counties using Point-of-Interest (POI) data from open map APIs.