6/3/2023 0 Comments Datagrip python![]() ![]() Note that dash-ag-grid was built on the same open source plugin framework that underpins Dash Open Source. Dash Enterprise is licensed with all of the features in one platform individual features are not available to be licensed separately. There are no plans at the moment to break this feature apart and offer portions of it for free/open source. The Ag-Grid license key needs to be purchased separately to use the Ag-Grid Enterprise features. We built this in collaboration with a couple of customers that had to use Ag-Grid as company policy, and decided to offer this to the rest of our customer base.ĭash-ag-grid includes capabilities in the Ag-Grid community version and enterprise version. It provides a Python interface to the Ag-Grid library, including lots of conversions from their JavaScript API into a Dash-friendly declarative Python API. Developed a recommendation system in Java and MongoDB for a data visualization software (Tableau).Dash-ag-grid is only available in Dash Enterprise.Designed, developed, and implemented a personalized product ranking software in Java and GATE using sentiment analysis and opinion mining to extract opinions from a database of customers’ online reviews.Defined a problem in a database management system setting and solved it utilizing Java, JavaFX, and DBM. ![]() Environmental Protection Agency, Research Triangle Park, NC, USA Software Developer, Summer Intern D 2015 esigned and implemented optimization models for representative planning and sample allocation problems U.S.Implemented data analytics for optimization and planning problems.Used Python scikit-learn, text mining, and text analytics tools (GATE) for feature extraction and entity resolution.Used machine learning techniques in Python employing SciPy, Pandas, NumPy, and matplotlib.Resolved data quality issues such as timeliness, completeness, and correctness in a team framework through parsing python and Linux logs to be visualized on an internal-developed visualization tool.Communicated with more than 6 sector data analysts and data scientists from different business groups to understand their data problems to come up with appropriate data modelling and data quality assurance solutions.Employed Tableau, Python Pandas, and NumPy to find the outliers and data stories in data.Developed more than 35 web scrapers in python and Java to run on hourly/daily/weekly/monthly basis to provide data scientists, analysts, and portfolio managers with the highest quality (recent, complete, and correct) data.Designed and Implemented robust data ingestion and ETL solutions for problems in Healthcare, Banking and Mortgaging Institutes, Oil and Gas, Transportation, Entertainment, E-commerce, and Sports fields.Utilized SQL Server, MongoDB, and Vertica (for terabytes of data) to store and query data in analytical pipelines.This also required implementing data modelling. Communicated data stories with data scientists, financial analysts, and portfolio managers through employing data visualization in Tableau and matplot to help them to understand their business problems and leaded them to utilize data by providing insights and recommendations.Programming Languages and Data Visualization: Python, Java, Tableau, Jupyter Dashboards, Python matplotlib Parsing Technologies: XPath, regex, PDFMiner, PDF APIs like PDFTables, XQuery, IBM Content Analytics, GATEĭata Storage: AWS(S3 REST API), Boto3, FTP, Vertica, SQL Server, DataGrip, RoboMongo Web Scraping: Requests, Scrapy, Selenium, Chrome driver, PhantomJS, Web browser simulation, curl, Postmanĭata Structures and Formats: JSON, CSV, XML, HTML, PDF, Plain Text, xlsx Optimization and Simulation: IBM ILOG CPLEX, GAMS, Lingo, Simio Data Science/Data Engineering professional worked at Confidential, and EPA skilled in Data Analysis, Statistics, Operations Research, Big Data, Data Warehousing, ETL | Traits: adaptable, self - reliant, team playerĭata Formatting, Cleaning, and Processing: Python Pandas, SciPy, NumPy, SQL, MongoDB, SAS, R, Apache Storm ![]()
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