PROFESSIONAL SUMMARY:

• Experienced Data Scientist and healthcare domain enthusiast with years of experience as a clinician in direct patient care.
• Skilled in statistical data analysis, data curation and integration of varied EMR data.
• Passionate about data exploration, visualization and finding meaningful connections from data points that are being generated during patient care.
• Ability to deliver the insights and make recommendations for data - driven decision-making process in healthcare which can make a difference in clinicians’ workflow and patient care.
• Proficient clinician with in-depth knowledge of medical terminology, diagnoses, treatments, biomarkers, hospital, pharma and providers workflow.
• Expertise in data integration from various clinical systems like EHR, pharmacy, Lab information systems and claims.
• Experienced working with standard controlled vocabularies like NDC, ICD-9, ICD-10, SNOMED-CT, LO RxNorm
• Creating interactive customized dashboards and presenting the data insights/findings using data visualization in Periscope, Tableau, Excel, PowerPoint
• Data extraction, data curation, data normalization, feature engineering, cohort selection and predictive data analysis of healthcare data using SQL, PostgreSQL, R studio, & Python
• Build mathematical/statistical models on data to predict, interpret result using packages in R, Python, Pandas
• Run ad-hoc data-extracts and create customize report on website tracking visitor’s interaction using Google analytics for diverse teams. Create and manage custom report based on website visitors and interaction using google analytics

PROFESSIONAL EXPERIENCE:

Data Scientist

Confidential, San Francisco, CA

Responsibilities:

• Analysis of the weekly data from multiple networks/clients and build customized report for variant teams.
• Cleaning and validating the neurocognitive assessment data to ensure accuracy, completeness, and uniformity
• Convergent validity testing and other statistical modeling on neurocognitive data and reporting the findings
• Building customized interactive dashboards in Periscope using SQL, R, Python to show data trends and Communicate findings to stakeholders using visualization and charts.
• Customize report on website tracking, visitor s interaction using Google analytics.
• Reviewing and data validation of scoring formulas and algorithms for neuro - psych testing.
• Write up results of neuro-psych testing for tasks such as N-back, Trails, Emotional Stroop and other similar tests.
• Creating support materials such as charts, graphs, google slides or other data visualizations for Executive Team Presentations.
• Developed predictive bedside aid to flag the patients with high mortality risk to support clinicians in assessing risk and management of mortality in sepsis patients. This study was conducted on 7942 unique hospital admissions from MIMIC-III EHR database.
• Synthesized dataset from scratch by cohort selection and data extraction from MIMIC database using Pgadmin4, PostgreSQL connection in R studio, SQL queries, developed ML models using Pandas.
• Build composite dataset using complex joins in SQL on 11 different tables, multiple column and condition using inclusion and exclusion criteria-based on project requirement.
• Evaluated findings using statistical test like T test, Chi square, odds ratio, Random Forest, correlation matrix using Jupyter notebook.
• Synthesized R CRAN package using caret library for the healthcare professional who have limited skills in programing language.
• Formulated parameterize queries for customized cohort selection and data extraction search based on user requirement. Created engineered spreadsheet for different tables in database such as for inclusion and exclusion criteria for research
• Constructed R script which reads all the formulated spread sheet and run parameterized queries which result in CSV of the dataset.
• Diagnosing sepsis with certainty is always a daunting task in front of physicians plus every hour delay in treatment increases the mortality percent in ICU patients.
• After curating, pre-processing data of 40,000 patients from ICU. I used clinical domain knowledge for feature engineering to handle missing value and for scaling the variables equally.
• Later as a team we build a model which detect sepsis early based on deterioration of vital parameters using machine learning techniques.
• We developed a model on time series data using LSTM, CNN, XG Boost in Keras Python to capture the signal change in cohort and led us in early detection of sepsis (12 hour) before the actual diagnosis of sepsis happens.
• Prediction of thrombocytopenia developed during hospitalization. In some patient’s thrombocytopenia is developed as an adverse effect of certain antiplatelet/anticoagulant prescriptions.
• This project was built to find out adverse effect of certain medication that resulted in Thrombocytopenia during the hospital stay.
• Prioritized the features and cohort extraction from database. Data harmonizing using PG-admin4, R and PostgreSQL
• Used machine learning models and statistical testing for the analysis.

Confidential, Cupertino, CA

Pharmacy Technician

Responsibilities:

• Processed prescriptions including but not limited to patient search, prescriber search, drug selection, prescription data entry, insurance billing and basic problem resolution.
• Processed customer request and prescription information required for new and refill prescription orders, including refill authorization from doctor offices.
• Resolved non-routine issues like third party billing by contacting insurance companies, computer system department and product customer service.

Confidential

Medical Officer

Responsibilities:

• Led clinic branch as Principal clinical consultant at an extremely fast-paced homeopathic organization.
• Provided medical consultation and diagnosis based on symptoms and signs of variety of clinical conditions.
• Created individualized treatment plans utilizing diet and nutrition counseling, supplements, homeopathy medicine after detailed case taking and dispense medication in accordance with state law.
• Documented all patient evaluations, treatments, medications according to company policies and procedures
• Evaluate effectiveness of the care methods and procedures and recommended improvement for optimization of patient care