SUMMARY

• More than 5 years experience in programming utilizing Python, Centos 7, PostgreSQL, Pandas, Numpy, Scikit - learn, PostGIS, Django, Javascript, C++, mySQL, R, Machine learning data scientist

PROFESSIONAL EXPERIENCE

Confidential - Kansas City, MO

Data Scientist - Software Developer

Responsibilities:

• Build the interactive and dynamic descriptive statistic, to let farmer directly interact with their agronomic data collected seamlessly, as well as construct their own daily reports and diagnostic alerts
• Expert in python Geometry and PostGIS database - Geospatial monitoring and analysis
• Setup PostgreSQL database in both Linux and Windows servers
• Familiar with Postgres 9.5, pg shard, and Greenplum open source in Machine Learning utilizes pandas lib
• Master in field-geom concept using both Python and PostGIS in aggregating display and statistics
• Design/ modify PostgreSQL database efficiently using geom-POST GIS and Binary to reduce the - data's storage and improve data performance
• Support by providing statistic report and histogram across databases for agronomic data
• Build python from PostGIS built-in functions for web’s team to manipulate field geom input
• Built back end for web's team create-update and import field boundary to the prod's database
• Familiar with building firmware operation system in Python
• Familiar with SQLITE3 and library
• Collect weather data from Gov's API, and partition the table by date to optimize performance
• Do pcapng's fire-wall traffic data log and restoration when it needs
• Build application to compare and restore missing data between different databases
• Build function to help modify, update and insert field to database from web's interface
• Design Django's Models, Views and APIs web's application
• Optimize existing Python Data Analysis functions using loop, inheritance, and encapsulation
• Program automation's script and create backup images to setup and install Linux- Centos 7 and its - Dependencies for Apache Servers for Postgresql database
• Build machine learning framework to do the analysis and prediction
• Apply seamless and accurate (99.5%) prediction (crop-type) concurrently with business operation and other python' scripts
• Build/Design business operate python applications such system management controller to execute and scheduling executing using queue table
• Build/Design clustering GPS point to generate polygon field, matching/filter GPS point from satellite to C.L.U (Common Land Unit ) from 2008 field, zipcode, and US's county area extremely fast using PostGIS and gist index
• Set up the physical server (raid-0, raid-10, virtual disk), mount/ resize disk. Using Clonezilla to recover the operational server for less than 30 minutes
• Install centos 7 and open source software dependencies
• Set up apache HTTPd for the web server
• Set up PostgreSQL database with Post GIS extension and geometry functions
• Maximize database performance using functions, triggers, indexes, partition

Confidential - Kansas City, MO

Python Developer

Responsibilities:

• Assist in the Bioinformatics research with data analysis and programming tasks
• Apply Agile development to document all the pipeline processes as medical laboratory standard requirement
• Work in a Unix/Linux environment and cluster computing
• Run microbial automation analysis using Python Script and Qiime from IlluminaHigSeq data
• Develop, install and run ChIP-seq analysis
• Work with EQTL, GATK pipeline and AlleleSeq (Allele-Specific Expression and Binding in a Network Framework) in dpSNP
• Apply statistics and machine learning algorithms to select the features of significant and accurately predict the outcome result

Confidential

Python Developer

Responsibilities:

• Provide the leading edge technology in IPython - Kernel functions for meta-data analysis, Bio-Statistic, and Machine Learning Data Scientist
• Set up the mySQL server and virtual machine in Linux, Ubuntu to run intensive computational analysis
• Provide the highest accuracy in automation pipeline microbiome analysis using AWS Amazon
• Design visual GUIs interface for interaction and examine the microbiome analysis result as well as finding the logic of disease
• Practice testing through the entire development cycle to produce reliable and maintainable APIs functions
• Build www. Confidential using Django
• Develop and test front-end code that meets accessibility and web browser standards
• Utilize responsive design to support usability in desktop, mobile and tablet environments
• Advocating web development best practices, with a focus on consistency and usability
• Resolve cross-browser rendering issues and bugs
• Maintain and support existing systems and programs
• Provide estimations for front-end development tasks
• Good understanding of end to end business processes
• Reuse available open-source libraries

Confidential

Responsibilities:

• Run analysis report using mySQL and python to generate report in csv and xls format among database servers
• Using Anaconda for data-mining and visual interaction with the matlibplot and pandas libraries
• Using AWS and EC2 node to run computationally intensive microbiome analysis
• Using Nitrous.io to run Django web application using MySQL and sqlite3 as database
• Applying advanced Data Scientist skill and Artificial Intelligence to predict disease state
• Enthusiastic to keep learning and growing, in technical aptitude, business understanding, and personal effectiveness
• Take ownership of work, overcome obstacles and take it through to get the job done