Swati Verma

adkwux@r.postjobfree.com

+1-419-***-****

SUMMARY

Experienced as a Data Scientist with 3+ years of experience to execute data-driven decisions to increase efficiency and accuracy. Have built data intensive applications overcoming complex architectural and scalability issues in diverse industries

Also, experienced as a Full Stack Web Developer with 6+ years of experience in creating interactive software products having valuable & instinctive user experiences through multi-platform environments using Java and UI technologies

Involved in the entire data science project life cycle, including Data Acquisition, Data Cleaning, Data Manipulation, Data Mining, Machine Learning Algorithms, Data Visualization

Experienced in working with various domains like Health Services, Automobile, Telecom, and IT

Working knowledge of statistics with knowledge of programming languages like Python, R, BigQuery and Scala

Proficient with business intelligence tools (e.g., Tableau, PowerBI, Azure Synapses)

Used visualization packages like Ploty, Matplotlib, Seaborn, etc

Strong mathematics skills (e.g., statistics, algebra, probability)

Experienced with machine learning algorithms such as Linear regression, Logical regression, Decision trees, Random forest and Naïve Bayes

Strong skills in statistical methodologies like Hypothesis testing, A/B testing, ANOVA, ARIMA Time series analysis using BERT, Semantic search, Sentiment analysis and classification.

Experience in working on Natural Language Processing projects which involved Information retrieval, Keyword extraction using BERT, Semantic search, Sentiment analysis and Classification

Ability to communicate complex data in a simple, actionable way

Ability to visualize data in the most effective way possible for a given project or study

Security driven mindset towards any code or process creation. Proficient in data breach mitigation techniques and risk management. Influencer of security first flag

Excellent experience in predictive modelling, data processing and data mining algorithms.

Extensive experience in scripting languages like Javascript including Python and Java

Proficient in Cloud and OnPrem technologies to support or create DevOps processes.

Proficient in creating, developing, testing and deploying highly adaptive diverse services to translate business and functional qualifications into significant deliverables

Proficient in creating data regression models, using predictive data modelling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business plans

Experienced in getting work done using agile methodologies and managing cross functional teams spread across different time zones.

Experienced presenter for live demos and proficient in consuming requirements and converting them into a tech plan by breaking documents and conversations into enablers and stories

Believer of Scrum Agile processes with good eye on forecasting impediments and identifying cross team dependencies to come up with good estimation of effort and delivery time

Experienced in designing and building successful technical teams

Active participant in driving Enterprise Resource Planning sessions

TECHNICAL SKILLS

Machine Learning Libraries

Tensorflow, Keras, PyTorch, SparkML, AzureML

Data Processing and Modelling

Pandas, SciPy, NumPy

Data Visualizations:

Ploty, Matpltlib, pydot

Data Mining:

Scrappy

Mining Techniques:

MapReduce, Clustering, Link Analysis,

Recommended Systems, Frequently Itemset Analysis

Analytic Engines/ Tools:

Apache Spark, SAS, BigML, Azure Synapse, PowerBI, BERT, Apache Airflow, NLTK, Databricks, Pandas, SAP-HANA, Application Insights, StatsModels, Elastic Search, Hadoop, Snowflake

ORM/Databases & Tools:

PostgressSQL, COSMOS DB

RESTful Web Services:

Django, Flask, Spring MVC

Cloud:

Microsoft, Amazon, Google, Citrix

SDLCs:

Agile development, Waterfall development

Web Designing:

Adobe Photoshop, Adobe Illustrator, Axure RP

UI frameworks:

Angular, Vue.js, ReactJS

Work Experience

Centers for Medicare & Medicaid Services

Marlabs Inc.

Jan 2016 – Oct 2019

Software Engineer

Description:

The Centers for Medicare & Medicaid Services (CMS) is a federal agency within the United States Department of Health and Human Services (HHS) that administers the Medicare program and works in partnership with state governments to administer Medicaid, the Children's Health Insurance Program (CHIP), and health insurance portability standards. In addition to these programs, CMS has other responsibilities, including the administrative simplification standards from the Health Insurance Portability and Accountability Act of 1996 (HIPAA), quality standards in long-term care facilities (more commonly referred to as nursing homes) through its survey and certification process, clinical laboratory quality standards under the Clinical Laboratory Improvement Amendments, and oversight of HealthCare.gov.

Project Details:

Comprehensive Primary Care (CPC)/ Maryland Primary Care Program MDPCP is a web application used by practices, across identified regions of USA, to capture and submit data about the Medicare and Medicaid services provided by them to the enrolled patients. It also generates various reports as per business needs.

The functional purpose of the CPC/MDPCP Web Application is to maintain CPC/MDPCP practices’ information, allow practices to submit CPC/MDPCP Milestone and eCQM information, and to provide a means of communication for CPC/MDPCP reports and resources for CPC stakeholders.

Responsibilities:

Collecting data through means such as analyzing business results or by setting up and managing new studies

Transferring data into a new format to make it more appropriate for analysis

Creating new, experimental frameworks to collect data

Building tools to automate data collection

Searching through large data sets for usable information

Creating reports and presentations for business uses

Correlating similar data to find actionable results

Data storyteller for non-technical audience

Explored large clinical data sets to identify patients comprehensive primary care functions on both short- and long-term scale and optimized target KPI

Have built various data science models which worked in integration with other existing models

Built daily, weekly and quarterly reports using Python which provided practice and finance insights

Design Develop and Support CPC project using Spring MVC, XML, JSP, Hibernate, JDBC, JNDI

Responsible development using Java-J2EE Technologies

Design and develop high-volume, low-latency applications for mission critical systems, delivering high-availability and performance

Involved in UI Custom tags design and development using JSTL tag and HTML and jQuery, Ajax, CSS to simplify the complexities of the presentation layer and have consistent look and feel throughout the application

Involved in developing/updating UI components to adhere to 508 standards

Involved in developing common UI components that can be used throughout the application

Analyzed the defects raised in HP Application Lifecycle Management.

Involved in developing PoC’s and demonstrating the same within the CPC and UI/UX team using Adobe Illustrator and Microsoft Visio

Performed a feasibility study on converting the existing application to use AngularJS

Used jQuery, AJAX for service calls on client pages to interact with the information on server

Worked on report generation using Quartz scheduler

EDUCATION

Masters in IT Management (4/4 GPA)

Master of Science (3.6/4.0 GPA)

Campbellsville University, Kentucky

2020

University of South Florida, Tampa

2015

PUBLICATIONS

1.The strategic importance of cloud computing in business organizations

2.Information systems infrastructure: evolution and trends

3.Team Communication & Decision Making

4.Designing Effective Teams: Facilitating Team Alignment

5.Data Visualization and Geographic Information Systems

6.Ethical issues that may arise in information management

7.Relationship between Cyber Security and Risk Management

8.Net Neutrality

9.Risks of Poor Data Quality and Ways to Improve

10.IT Governance Plan

11.Use of cloud backup strategies

12.Best practices to employ for mitigation of malware effects on systems and devices

13.Data communications over wireless networks

14.Data breach mitigation techniques

CERTIFICATIONS

1.IBM Data Science Specialization

2.Machine Learning

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