The LORENZO Medication Management is a program aiming to provide solution and the ability to enable clinicians, pharmacist & nurse to process prescriptions electronically, promoting medication safety, accuracy and efficiency in the prescribing & medicine administrations process.

Key Activities:

• Designed and implemented an end to end solution for Medication management.
• Performed the role of BA for gathering requirements for complex modules such as Inpatient medication, Medication administration and Infusion.
• Closely liaised with a functional expert team of pharmacists, nurses and doctors in the UK for preparing use cases and high-level design documents.

· Closely liaised with business/product owners of various modules -Medication management, Expression builder, Request & Results management.

· Responsible for Technical design documentation.

· Responsible for code reviews and sign off.

· Managed software system development and integration projects through all phases of project life cycle - analysis, design, development, testing, implementation, and post-production support.

· Developed a VB application with MS-Access for Data Entry like entering Race Details, Adding Race Card, entering Race Results etc.

· Developed ASP scripts to populate an Access database for the current Statistics of the Jockey, Trainer, Horse performance etc.

Developed VB application to generate HTML pages from the database.

· Developed inventory and accounting packages using FoxPro

· The package consists of creation of various modules to maintain stock, purchase, sales, sales return, purchase return, stock transfer, stock adjustment, cashbook entry & journal entry.

· The reports generated are stock register, sales register, purchase register, stock report, sales report, purchase report etc.

Analyse the current market trends to find out know which category of applications are trending, how much income it can generate and the benefits it would bring the company. This analysis done on both Android and iOS apps. Analysis was done based on App Rating, App Category and App Pricing. This analysis helped to comprehend the apps which are mostly used across the globe and also the relationship between App rating and downloads, app pricing and downloads etc.

This study looked into assessing the heating load and cooling load requirements of buildings (energy efficiency) as a function of building parameters. Energy analysis performed using 12 different building shapes simulated in Ecotect (an environmental analysis tool). The buildings differ with respect to the glazing area, the glazing area distribution, and the orientation, amongst other parameters. The dataset comprises 768 samples and 8 features, aiming to predict two real valued responses. Predictive Modelling Techniques used to analyze the dataset, and aim to fulfil the business objectives.

Cluster Analysis is performed to identify the customers to target for direct and indirect marketing.

Models are built to predict those students who were most likely not going to return the following semester.

Text mining is performed on food recipes obtained from various online sources and determine the unique characteristics of cuisines from three regions: India, Italy and Thailand.