Data Scientist Machine Learning

Kartik S. Niyogi

Alpharetta, GA ***** 980-***-**** ******.******@*****.*** LinkedIn: kartik-niyogi-53236717/ Senior Data Scientist

Dynamic Senior Data Scientist with 15 years of experience in Data Science, Analytics, Business Analysis and Programming guiding companies in measurement, strategy, and decision-making

Record of effectively partnering with various business units and applying Analytics, Statistics, and Machine Learning to solve complex problems, expand capabilities, support growth, and contribute to the bottom-line

Improved business performance by developing analytical frameworks leveraging big data analysis, dashboards and predictive modeling tools providing actionable insights for services, products, operations and business strategies

Lead complex, multi-disciplinary projects from start to finish — working with stakeholders, managing project milestones, identifying risks, and delivering outstanding results to customers

Communicating the machine learning modelling results through clear and concise presentation to multiple stakeholders with diverse backgrounds

Expertise: Statistical Tools Snowflake SQL Python R Microsoft Power BI DAX Advanced Data Analytics Predictive Modelling Applied Machine Learning (ML) Natural Language Processing (NLP) PySpark PyTorch Hadoop Hive Amazon SageMaker Sigma R Shiny SPSS Data Science Data Management Financial Forecast Modelling Dashboards & Visualization

Tableau SAS Business Process Improvement DataBricks (Apache Spark) Efficiency Initiatives Large Scale Data Payment Predictive Analytics Payments Data Processing Project Management Text Mining Automation Communication at all levels PROFESSIONAL EXPERIENCE

TeamHealth, Knoxville, TN (Remote) Aug 2021 – Jan 2025 SR. DATA SCIENTIST, DATA SCIENCE AND ANALYTICS

TeamHealth is one of the nation's largest providers of hospital-based clinical outsourcing in multiple departments Performed various statistical analysis via SQL and Python using invoice and collection data for uninsured and self-pay patients. Incorporated external data from LexisNexis Risk Solutions to identify additional factors that impact lower payments from uninsured patients such as demographics, homelessness, criminal history, prior bankruptcies, prior missed payments and more. Performed requirement gathering, developed Business Design Document, data transformation and exploratory data analysis for predictive modelling projects.

Data analysis: Performed data analysis on claims denials by insurance organizations to understand underlying causes for claim denials. Further, analyzed arbitration cost to assess the gain/ loss to TeamHealth vis-à-vis Insurance organizations.

Predictive Modeling & Dashboard Development: Developed a predictive model to identify TeamHealth’s clients (hospitals) at risk of terminating their contracts using SQL (Snowflake) and Python (Jupyter Notebooks). Designed and implemented three Power BI dashboards tailored to different audiences: a “Loss Probability” visualization for business operators, summary reports for senior leadership, and dashboards analyzing causes and trends associated with client churn.

Model Performance Enhancement: Established a feedback loop with business stakeholders and leadership to continuously evaluate the model performance and incorporate the necessary changes to improve the model reliability.

Dashboard Migration & Feature Documentation: Facilitated the migration of visualization dashboards from Tableau to Power BI, while documenting feature gaps and requirements in Smartsheets. Cardinal Innovations Healthcare, Charlotte, NC Mar 2018 – Aug 2021 DATA SCIENTIST II, MEDICAL ECONOMICS

Cardinal Innovations (consolidated into Vaya Health in Jul. 2021) provided services for mental health, intellectual and developmental disabilities, and substance use disorders

Collaborated with cross-functional teams to understand and define problem statements, designed and implemented analytics solutions, and delivered actionable insights that enhanced business accuracy and consistency. Main projects:

Member Acuity Scoring: Integrated the licensed program Chronic Illness and Disability Payment (CDPS) model with Cardinal’s member data using SAS. Generated Member Acuity Score based on Physical, Behavior and Pharmacy claims.

Predictive Model: Developed Antipsychotic Medication Adherence predictive model to analyze non-adherent Schizophrenia members at risk of Behavior Health crisis. Developed a new Power BI dashboard detailing Key Metrics. o Collaborated with stakeholders to gather requirements and executed the project using the CRISP-DM framework. o Performed Exploratory Data Analysis on member claims data using SQL and SAS EG. KARTIK S. NIYOGI 980-***-**** ******.******@*****.*** o Used R and SAS to develop multiple models like Logistic Regression, Decision Tree, Random Forest and Extreme. Gradient Boosting model to assess the most relevant model for predicting member’s risk of crisis. o Generated monthly risk registry using Power BI for business stakeholders.

COVID-19 and Preventive Care Disruption Analysis: CDC published report on “Delay or Avoidance of Medical Care because of COVID-19” (Sep. 11, 2020). Based on this report, analyzed preventive care completion among Cardinal’s Medicaid population. Performed exploratory data analysis and developed a Logistic regression model using Python.

Text Mining: Developed text analytics application for mining Care Coordinator’s progress notes o Employed R in Power BI to run scripts that broke down paragraphs of text data into single sentences for easy access. o Developed Power BI interactive visualization dashboard for searching specific keyword across the text data.

Forecasting: Forecasted membership using basic forecasting techniques in SAS EG, R and Excel.

Efficacy Study: Performed efficacy study to evaluate Before and After performance of various care initiatives aimed at improving member outcome. Additionally, webscraped ICD-10 diagnosis code for identifying broader Diagnosis group. Prior Experience in Financial Analyst/Business Analyst Roles:

• Astra Zeneca India Pvt. Ltd., India, Mar 2015–Nov 2015: As Asst. Manager FP&A, worked on budgeting and forecasting.

• Ford Motor Pvt. Ltd., India, Jan 2012–Feb 2015: As Finance Analyst FP&A, performed data analysis/ benchmarking study.

• Credit Analysis & Research Ltd., India, Jul 2010–Jan 2012: As Credit Rating Analyst, assessed client’s risk as per Basel II norms.

• Genpact India, Jul 2009–Jul 2010: As Business Analyst, analyzed cost driver for client GE Energy.

• Patni Computer Systems, India, Dec 2004–May 2007: As Sr. Software Engineer, worked on coding and design documents. AWARDS

“Best Use of Analytics & Visualization Tools Award” at the 2017 Teradata Analytics Challenge, the competition analyzing the Charlotte restaurant industry

Ford “Asia Pacific Recognition Award” for finance systems and process improvements Genpact “Bronze Award” for generating business impact of $78K and 707 hours/year of productivity improvement

“Patni Team Award” in recognition of contribution towards a Mission Critical project for client Hitachi Data Systems EDUCATION

Professional Science Master's in Data Science & Business Analytics (GPA: 3.9), The University of North Carolina, Charlotte, NC Master of Business Administration with focus in Finance, T.A. Pai Management Institute, India Bachelor of Engineering with focus in Computer Science, PES College of Engineering, India CONFERENCES AND WORKSHOPS

“Storytelling with Data” Workshop (Cole Nussbaumer Knaflic, Founder & CEO, storytellingwithdata.com, 2017

Spark + AI Summit, Databricks, Virtual 2020

Health Analytics Summit, 2018 and Virtual 2020

North Carolina Healthcare Information and Communications Alliance (NCHICA) conference, 2018

Analytics and Big Data Society, Charlotte, NC, 2017-2021

Presenter at Charlotte BI Group on “Challenges and Outcome of Antipsychotic Medication Adherence Predictive Analytics”

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