Data Web Developer
Resume:
Swati Verma
**************@*****.***
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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