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Projects

Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products based on Climate Analytics-as-a- Service Framework
May 2018 – Present | _ #BigData #NASA #MODIS #CMAC

To refactor the current MODIS atmosphere Level-3 product aggregation and distribution system to drastically reduce data generation and processing time, and to facilitate user-defined customization, using the framework of Advanced Data Analytics Platform (ADAPT) and Data Analytics and Storage System (DASS) provided by NASA. Designed techniques to implement data generation and processing with Level 3 aggregated products with Python and Apache Spark. Facilitated an efficient framework for Advanced Data Analytics and Reporting. Lead a team of 4 highly proficient programmers for refactoring the current MODIS atmosphere Level-3 product aggregation and distribution system too much more efficient standards.

Other Creators:
Dr. Jianwu Wang | Deepak Sashu | Chamara Rajapakshe


Online Accommodation & Hospitality Services
Aug 2017 – Dec 2017 | _ #PL_SQL #Oracle #SQL

The project revolves around designing a database system for an online accommodation and hospitality company service. We achieve this by designing the database, inserting sample data and implement a set of required features. Each feature will be implemented as one or more Oracle PL/SQL procedures.

Other Creators:
Tejaswini Yella | Rashmi C.G. | Aditi Sharma


Predicting Relations Between Factors Involved In Gerrymandering
Jan 2018 – Jun 2018 | _ #Python #DataAnalysis #Politics

Proposed research study for data mining subject where we evaluate relations between the various factors involved in gerrymandering for the area of Maryland to be specific and in turn check the validity of the hypothesis through data & attributes ranging from 111th through 115th congressional district election.

Other Creators:
Abishek Varadarajan | Tejaswini Yella | Rashmi C.G. | Aditi Sharma


Analytical Study On The Hawaiian Emergency Alert Systems
Jan 2018 – Jun 2018 | _ #SystemDesign #UserExperience

Proposed research study for data mining subject where we evaluate relations between the various factors involved in gerrymandering for the area of Maryland to be specific and in turn check the validity of the hypothesis through data & attributes ranging from 111th through 115th congressional district election.

Other Creators:
Henakshah Saikenani | Abishek Varadarajan | Tejaswini Yella | Sheela Patel | Komal Singh


Analyzing The Cause & Effect Of FB's Filter Bubble
Jan 2018 – Jun 2018 | _ #SystemDesign #UserExperience

Proposed research study for data mining subject where we evaluate relations between the various factors involved in gerrymandering for the area of Maryland to be specific and in turn check the validity of the hypothesis through data & attributes ranging from 111th through 115th congressional district election.

Other Creators:
Roshni Gadiyar | Poorva Srivastava | Aishwarya Bhavare