Sakshi Sharma Email & Phone Number

New Orleans, Louisiana, Us

New Orleans, Louisiana, Us

•Built predictive and machine learning models, evaluate performance, and operationalize into a production setting by partnering with data scientists, analysts, engineers, and operational teams. •Conducted propensity matched case-control studies and/or randomized control trials for determining the effectiveness of health program services and solutions•Lead research work with Ochsner Brain Health department to design cohort criteria for Dementia care Management program and further evaluating it. There was significant reduction in Per member per month cost (by $2K) and their Fall risk scores (by 4.14), which lead to NIH grant.•Lead data science projects to design, prototype and test novel clinical and digital interventions to promote health equity and clinical improvements.•SME for numerous advanced analytic methods, solid knowledge of advanced and predictive analytics.•Implemented Pearson correlation, Ttests and Anova statistical tests for hypothesis testing for several program evaluations.• Served as study design and analytics expert for population health programs supporting complex care management initiatives.• Reviewed performance and effectiveness of business initiatives and interventions on leadership request.• Co-authored and contributed to the development of abstracts and articles for publication in refereed journals.

Charlotte, North Carolina, Us

• Supported Marketing patient outreach and forecasting operations with third party vendors using SAS and testing against various statistical methods. Implemented predictive responsive modelling on campaigns to identify highest probability of response, performed lift, gains to measure success rates.• Created and developed new measurement techniques allowing our marketing partners to better understand the impact of their work. Responsible for in-house marketing analytic strategy, model/decision systems and performance oversite. Lead data extraction for provider departures communications and Develops direct/indirect patient attribution model for marketing.• Helped the system strengthen the connectivity between hospital and ambulatory data by leveraging unique system knowledge of EDW and delivering demand utilization forecasts on patient encounters and future patient activity.• Managed highly sensitive and complex analytic initiatives by interpreting strategic needs, developing and executing code for direct data retrieval, and performing data analyses. Translated results from analyses into dashboards and makes recommendations based on findings with service line leaders.• Developed Patient Selection Dashboard for Executives which includes Inpatient, Outpatient and Emergency Department state level data for Georgia, North and South Carolina• Developed interactive dashboards, KPIs, operational reporting and analysis for redesigning Primary Care delivery models which includes Family Medicine, Internal Medicine, Pediatrician, Urgent Care and OBGYN.

• Implemented Multinomial Naive Bayes Algorithm for document classification using nltk, scipy packages in python and used Restful services using flask framework.• Achieved 89% classification and aiming to achieve 95% classification rate for documents.• Gathered requirements by shadowing SME, pulled data from data warehouse using SQL and performed statistical analysis in R.• Cleaned and transformed data for predictive models and topic models for text mining.• Developed predictive models such as Logistic regression, Decision trees and Random forests to predict rejections and factors influencing them.• Performed statistical tests to compare different models based on predictive power and other parameters.• Extracted different topic clusters from handwritten unstructured Rejection notes and provided meaningful results to business.• Used K- means clustering, scaling and boosting to cluster and score recording vendors into good, bad and average vendors.• Created several reports in EXCEL using VLOOKUP and Pivot table/chart functionality for business.

Charlotte, North Carolina, Us

Responsibilities• Evaluate, interpret and present quantitative data via mathematical and statistical modelling• Develop customer insights based on interpretation of quantitative customer data; including industry information, geographic information, customer demographics, etc.• Identify, analyze and interpret trends or patterns in complex data sets• Analyze and cleanse 3rd-party prospect lists• Provide written and oral presentations of findings, insights, analysis and recommendations• Develop and maintain reporting of key metrics• Assist VP - Marketing with evaluation of marketing program effectiveness• Worked on data manipulation, cleansing, and processing using with the purpose of understanding or for decision making using Python, R, & Excel.

Charlotte, Nc, Us

• Working with CRM systems and implementing IT solution as well as involved in marketing strategy development, and analytics.• Implementing the software solution that can be utilized to grow and expand their CRM practice.• Developing customized solutions for the CRM platform.• Data cleansing, mining healthcare patent data for UMLS on Hadoop cluster using map reduce in Python, java & visualizations in D3.js

Bangalore, Karnataka, In

• Developed and designed database architecture to support application development projects and optimized database systems for performance efficiency.• Worked on Microsoft Azure for online application, and to enable cloud.• Prepared design specifications and functional documentations for assigned database projects.• Created complex functions, scripts, stored procedures and triggers.• Performed data back-up and archival on regular basis, tested databases and performed bug fixes.• Interacted with the Business Analyst to understand the requirements to ensure that all UED and data are available.• Created test cases, coordinated User Acceptance Testing and enforced software configuration build and release standards.• Worked in fast paced release environment (Agile methodology based on user stories).• Statistical analysis and data visualization using R, SAS, Matlab, and Tableau.• Developed interactive graphic platform using R Shiny, Plotly, ggplot2, HTML, CSS to enable scientists to better visualizedata and identify key trends, and therefore make better data driven decisions.• Strong understanding of the principles of DW using Fact Tables, Dimension Tables Star Schema Modeling and Snowflakes Schema Modeling.

New Delhi, Delhi, In

• Developed database for Victim Assistance team and also participated in raid and rescue operations with them.• Developed complex SQL scripts, dynamic queries and migrated a database while maintaining the referential integrity inaccordance with the business rules of target database.

Doctor Of Public Health - Drph, Doctor Of Public Health In Leadership, Advocacy, And Equity

Master'S Degree, Data Science And Business Analytics

Bachelor Of Technology (B.Tech.), Information Technology