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Data Scientist with 5 plus years of experience in Healthcare Analytics. Worked on different healthcare projects leveraging RWD(Real world Evidence) and EMR Data to solve Patient journey, Patient Burden, Reimbursement Analytics, Health Economics and Outcom
zishan khan
,
Egham, United Kingdom
Experience
Other titles
Skills
I'm offering
Data Scientist with 5 plus years of experience in Healthcare Analytics. Worked on different predictive and visualization techniques. AWS Data analytics - Specialist.
Markets
United Kingdom
Industries
Language
English
Fluently
Ready for
Ongoing relation / part-time
Available
My experience
2018 - 2020
job
Analyst
Clarivate Analytics- Gurugram.
Main Duties:
Client Engagement
• Prepared different types of RFP's in different client engagement.
• Prepared project delivery plan and successfully delivered it to the client.
• Provided End to end solutions for clients which included technology, tools to final deliverable.
• Working closely with client to understand their project and data needs. Creating Request for proposal and finalizing tools and platform to implement.
Navigator Tool
• Developed a tableau dashboard which helped client to interactively find suppliers and Physician network based on certain matrix and saved company's money who was already paying money for such tool to different company.
• Developed tableau dashboard to monitor our existing data in order to improve research quality.
Claims and E.H.R(Electronic Health Record)
• Worked on RWE(Real world Evidence) Claims data for making cohorts for different projects and derive insights from them.
• Worked on various projects such as patient longitudinal analysis, patient journey.
• Worked on EHR data and binned data according to different factors such as indication, age, demographics, treatment, etc.
• Good understanding of ICD, CPT, HCPCS codes.
Key opinion Leader identification
• Worked on the RFP of this project and prepared an analysis plan for the client.
• Identified key opinion leaders for nephrology and cancer market using RWD claims and E.H.R data.
• Worked on influence analysis to identify the providers who influence that field using R.
• Prepared a network graph to visualize the connection between all key opinion leaders using python.
CMS(Center for Medicare and Medicaid service) Forecasting
• Prepared time series models for CMS data to project the quarterly claim which can be generated further.
• Analyzed and cleaned the CMS data to identify the trends and seasonality of data in R.
• Prepared model using different techniques such as ARMA, Holts winters, Arima etc.
COVID-19 Data lakh
• Used NLP to combine different Data sources to form one single Datamart for COVID-19.
• Developed Tableau dashboard to visualize COVID-19 spikes across different US states.
Client Engagement
• Prepared different types of RFP's in different client engagement.
• Prepared project delivery plan and successfully delivered it to the client.
• Provided End to end solutions for clients which included technology, tools to final deliverable.
• Working closely with client to understand their project and data needs. Creating Request for proposal and finalizing tools and platform to implement.
Navigator Tool
• Developed a tableau dashboard which helped client to interactively find suppliers and Physician network based on certain matrix and saved company's money who was already paying money for such tool to different company.
• Developed tableau dashboard to monitor our existing data in order to improve research quality.
Claims and E.H.R(Electronic Health Record)
• Worked on RWE(Real world Evidence) Claims data for making cohorts for different projects and derive insights from them.
• Worked on various projects such as patient longitudinal analysis, patient journey.
• Worked on EHR data and binned data according to different factors such as indication, age, demographics, treatment, etc.
• Good understanding of ICD, CPT, HCPCS codes.
Key opinion Leader identification
• Worked on the RFP of this project and prepared an analysis plan for the client.
• Identified key opinion leaders for nephrology and cancer market using RWD claims and E.H.R data.
• Worked on influence analysis to identify the providers who influence that field using R.
• Prepared a network graph to visualize the connection between all key opinion leaders using python.
CMS(Center for Medicare and Medicaid service) Forecasting
• Prepared time series models for CMS data to project the quarterly claim which can be generated further.
• Analyzed and cleaned the CMS data to identify the trends and seasonality of data in R.
• Prepared model using different techniques such as ARMA, Holts winters, Arima etc.
COVID-19 Data lakh
• Used NLP to combine different Data sources to form one single Datamart for COVID-19.
• Developed Tableau dashboard to visualize COVID-19 spikes across different US states.
Python, Forecasting, CMS, Research, R, Tableau, RFP, Service, Technology, Network, NLP, It, Analyst, Health, Platform
2017 - 2018
job
Data Analyst
SPECTRUM.
Profile: Worked as Data Analyst in Decision Analytics (Informatics) primarily on SAS modelling and Reporting.
Main Duties:
FDS
• Involved in fetching, preparing and cleaning data from GE products and importing into SAS.
• Developed data validation tool in VBA.
• Worked in dimension reduction and profiling for GE customers.
• Prepared reports on Tableau according to clients' requirements and helped in gaining business insights.
Main Duties:
FDS
• Involved in fetching, preparing and cleaning data from GE products and importing into SAS.
• Developed data validation tool in VBA.
• Worked in dimension reduction and profiling for GE customers.
• Prepared reports on Tableau according to clients' requirements and helped in gaining business insights.
VBA, Tableau, SAS, Analytics, Analyst
2015 - 2017
job
Business Analyst
EXL SERVICES.
Informatics models
• Preparing models to predict the high-risk claimants in subsequent years using techniques involving Logistic Regression, Clustering, Variable reduction and creation, customer segmentation, data resampling.
• Analyzing and predicting the disease management program enrolment to reduce the cost involved with the customer interaction process.
• Identifying identical behavior of customers filing high claims and thus providing suitable disease management programs for the customers exhibiting specific health-related problems.
• Designed and developed the reports according to the requirements using Tableau
Accountable Care Organization - Attribution
• An ACO is a network of doctors and health providers that share responsibility for providing care to patients.
• Participate in complete project lifecycle: requirements gathering, programming, and creation of final deliverables.
• Manipulating a huge dataset with a lot of new derived variables required for Reporting and creating the final Analysis dataset.
• Implementing SAS programs on analysis datasets and programming for various attribution methodologies.
• Manipulating different raw datasets using Proc SQL to gain more business insights and generating reports to help it understand more easily
• Prepared scripts to ensure proper data access, manipulation and reporting functions with R programming languages in the extended ACO networks.
• Preparing models to predict the high-risk claimants in subsequent years using techniques involving Logistic Regression, Clustering, Variable reduction and creation, customer segmentation, data resampling.
• Analyzing and predicting the disease management program enrolment to reduce the cost involved with the customer interaction process.
• Identifying identical behavior of customers filing high claims and thus providing suitable disease management programs for the customers exhibiting specific health-related problems.
• Designed and developed the reports according to the requirements using Tableau
Accountable Care Organization - Attribution
• An ACO is a network of doctors and health providers that share responsibility for providing care to patients.
• Participate in complete project lifecycle: requirements gathering, programming, and creation of final deliverables.
• Manipulating a huge dataset with a lot of new derived variables required for Reporting and creating the final Analysis dataset.
• Implementing SAS programs on analysis datasets and programming for various attribution methodologies.
• Manipulating different raw datasets using Proc SQL to gain more business insights and generating reports to help it understand more easily
• Prepared scripts to ensure proper data access, manipulation and reporting functions with R programming languages in the extended ACO networks.
Analyst
My education
Royal Holloway University of London
N/a, N/a
N/a, N/a
?
-
2014
University New Delhi
Bachelors, N/a
Bachelors, N/a
?
-
2010
ISC
N/a, N/a
N/a, N/a
?
-
2008
W H.SMITH SCHOOL
MSc, N/a
MSc, N/a
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