SQLÂ Developer Resume

SUMMARY:

Performed cleaning and EDA on NBA dataset for building a data model using linear regression technique to predict points required by a team to win the league using Python and R.
Designed a database system using SQL to maintain records of registered users in multiple regions to connect people for ride sharing.
Performed different cluster analysis methods on Wine Dataset using R and predicted which method gives the best results for that dataset by making dashboards in Tableau.
Designed a system for students and faculties to meet graduation objectives by gathering functional and non - functional requirements and translating them into Data Flow Diagrams to simplify the number of systems they are interacting with to receive information.
Performed analysis and visualization on yelp dataset based on customers rating on restaurants using Python and Tableau and identified uncertainties associated with forecasting.
Developed an application using Advance Java and MySQL for managing information about current students and alumni in a database that encouraged college officials to evaluate the system and create events for interaction among students. .
Developed a web application with the help of three other teammates using python that consists of different modules like simplified Google maps, paint and castle shoot game.
Designed a Product Process, Product Innovation Confidential and Portfolio analysis for an app that help depression patients in recovering from depression by suggesting various tangible methods.
Led project team of three to develop a desktop application using Java for managing the customer and room details efficiently by the staff iEmployee: Designed a biometric concept to mark the attendance of the employees that integrates time clock terminal with biometrics based attendance system. The data is collected by clocking in from mobile phones or physical hardware with geo location and transferred to cloud with cyber security for further payroll and scheduling support.

TECHNICAL SKILLS:

Programming Languages: Java, C++, JavaScript, SQL, HTML, UML, Php, Python, R

Tools & Platforms: Macromedia Dreamweaver, NetBeans, Oracle SQL Plus, Eclipse, IDLE, R Studio, SAS E - miner, Tableau, Git, GitHub, Jupyter, Hadoop

Office Technologies: Microsoft Office Suite, Google Office Apps, Web conferencing software

Operating Systems: Windows, Macintosh

PROFESSIONAL EXPERIENCE:

Confidential

SQL Developer

Responsibilities:

Designed a database system using SQL to maintain records of registered users in multiple regions to connect people for ride sharing.
Performed different cluster analysis methods on Wine Dataset using R and predicted which method gives the best results for that dataset by making dashboards in Tableau.
Designed a system for students and faculties to meet graduation objectives by gathering functional and non-functional requirements and translating them into Data Flow Diagrams to simplify the number of systems they are interacting with to receive information.
Performed analysis and visualization on yelp dataset based on customers rating on restaurants using Python and Tableau and identified uncertainties associated with forecasting.
Developed an application using Advance Java and MySQL for managing information about current students and alumni in a database that encouraged college officials to evaluate the system and create events for interaction among students. .
Developed a web application with the help of three other teammates using python that consists of different modules like simplified Google maps, paint and castle shoot game.
Designed a Product Process, Product Innovation Confidential and Portfolio analysis for an app that help depression patients in recovering from depression by suggesting various tangible methods.
Led project team of three to develop a desktop application using Java for managing the customer and room details efficiently by the staff iEmployee: Designed a biometric concept to mark the attendance of the employees that integrates time clock terminal with biometrics based attendance system. The data is collected by clocking in from mobile phones or physical hardware with geo location and transferred to cloud with cyber security for further payroll and scheduling support.

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