Divya has been designing and developing Core Java (J2EE) applications for over a decade, specializing in data-oriented and performance-intensive platforms. She has extensive hands-on experience in Spring Boot, Hibernate, and Dropwizard frameworks, as well as Kafka, JBoss Drools, Hadoop, and Spark. Divya has also worked with SQL and NoSQL databases.
Developed a caching system, based on Elasticsearch, to allow faster searches.
Designed and implemented a microservices-based, system-wide, data access layer to be used across platforms to save and retrieve data.
Developed a custom authentication mechanism, using the Open Distro plugin to provide auth control on Elasticsearch.
Developed an advanced file processing system that enables users to configure the structure, processing rules (using Drools and KIE), third-party API integrations, and other delivery configurations for processing the data (SSIS and Kafka ).
Developed a social media analytics solution used by a law-related firm to collect and report on data from different social networks and compute sentiments for the same. This solution won the company's Innovation of the Year award in 2014.
Built a sales acceleration and reporting platform for sales reps and business leaders to understand the relationships and trends across service lines, customers, and regions.
Developed a platform that includes secondary and tertiary analysis of data collected from next-generation sequencing from DNA samples using SOLiD technology comprising mapping and alignment to the reference human genome data.
Built a platform that deals with the performance testing of the next-generation sequencing algorithm (KB Basecaller) for both diagnostic and research purposes. The platform is used for genome data collection and fragment analysis using algorithms.
Understood requirements and developed tools such as small RNA counts, coverage, and extractors with extensive input/output (IO) operations.
The platform facilitates the processing and analysis of large datasets with unique formats and quantities.
It allows users to configure data processing specifications and business rules directly within the UI.
The engine converts configuration rules into DRLs for user-driven processing and runtime execution via Drools, incorporating third-party APIs.
This platform is designed for Lean construction projects and offers a production control solution.
It replaces sticky-note processes with innovative visualizations, maintaining Lean principles.
The solution supports master, phase, production, look-ahead, and daily production schedules, leveraging Takt time planning.
Provides a platform for sales representatives and business leaders to analyze relationships between service lines, customers, and regions.
Offers tools for evaluating the ratio of serviceable market opportunity to bid to conversion for each opportunity.
Integrates data from various internal and external sources to enhance opportunity evaluation.
A B2B customer service intelligence engine that tracks products, companies, and profiles.
It aggregates public information from various media sources and performs social listening and natural language processing.
The system generates targeted business intelligence and insight using advanced graph technologies and algorithms.
Collects and analyzes data from multiple social media platforms: Facebook, Twitter, Google+, YouTube, and Instagram.
Data is collected through keywords selected by users and others, and populated based on platform data.
Provides sentiment analysis and trending data for specific keywords.
