Jyoshnasri Mandyam

• Experienced with US Patient level Data and LRx Data(prescription data)
• Experienced with working on AdHoc Requests such as Feasibility, Data extraction on patient level data, Data Analysis, Dashboard reporting.
• Experienced with handling different countries Health care data such as Drug consumption on Argentina, Mexico, and Romania
• Experienced with performing feasibility on clinical trials in a particular country such as enrollemnt data analysis, Competetion, and country ranking using citeline, MIDAS, clarivate tools etc.,

• Coordinated with the leads and successfully managed the team with 100% compliance to the SLA without major escalations. Recognized and awarded the best agent for the year for initiatives taken for the progress of the on-going project.
• Managed and tracked more than 60,000 tasks/requests generated in the Zendesk.
• Performed review of medical images received from the trial site in the RAVE database using redaction tool as per SWI.
• Identified new scenarios and challenges faced during the process and coordinated with the clients for solution.

MEDIDATA MEDICAL IMAGE SUPPORT(2019):

• Understanding clinical trial individual issues on Rave Imaging and providing with resolution different sites. sucha as Handled commercial requests, Director issues and Installing issues with Imaging Database.

CLINICAL DAT MANAGEMENT(2019):

• Hands of Experince in to Study conduct and closeout phases on INFORM Database with Allergan studies related to Open Heart Surgery, and Constipation.
• Experienced in to Discrenpency Management(Query Management, Auto Queries, Manual Queries).
• Third Party Data Reconciliation(SAE,ECG,IVRS) and Manual Review Document writing and Data Review and Data Cleaning.

Diabetes Health Care Analysis (2020)

Tools: Python,Machine Learning

• Performed Descriptive Analysis Visually explored the data using Histograms Applied Classification Algorithm and compared the various models with the results from KNN Algorithm.
• Created a classification report by analyzing sensitivity, specificity, AUC (ROC curve) and Created a dashboard in tableau by choosing appropriate chart types and metrics useful for the business

HEALTHCARE COST ANALYSIS(2021)

TOOLS: Python

• Visually explored the data using different visualtion Tools available on the python.
• The goal is about to find the patient who are frequent to the Hospital based on the given patient data and Hospital Data available and visually reported the insight

INTERN PROJECT(PAI SOLUTIONS): RETAIL WALMART ANALYSIS(2018)

Tools: SAS,MachineLearning,Tableau

• Provided the business solutions to the Walmart realted to the stock based on the available data.
• Model building to make predictions and Visually represented the insights