Emily Hauser has over 10 years of experience in client services, administration, and education. She has a Bachelor's degree in Sociology and an Associate's degree in Business Administration. Her most recent role is as a Client Intake Specialist at Morgan & Morgan, P.A., where she works with clients, schedules appointments, and updates case status. She also has experience as a Proctor, Poll Worker, Marketing Representative, Counselor, and Lifeguard.
Experienced health education graduate in planning, implementing and evaluating effective health programs.
Knowledge in the area of teen pregnancy prevention, HIV/AIDS prevention, and youth development.
Excellent customer service, communication (public speaking, presentations, group faciliation), and interpersonal skills.
I am interested in working in an area where I can positively and effectively exercise my acquired knowledge in community health; building meaningful relationships with clients & co-workers; educating adolescents on pregnancy and STD/HIV prevention, educating and promoting the importance of preconception health.
Specialties:
Customer service, HIV/AIDS education and promotion, group facilitation, program planning, program implementation, program evaluation, and rural health.
STUDY.COM_ SOCIAL CHANGE OVER TIME
I HOPE IT IS HELPFUL FOR YOU> BUT PLS IWANT CREDITS> OR ADD ME AND MESSAGE ME THANKS
THERE IS A NOTE FOR PRESENTERS VIEW
HAVE A GOOD DAY
KEEP CALM AND DRINK ON
NAME: Ellen Magalona
GNDR: FML
BRTHDY: FEB. 1998
@ellenmaaee
Experienced health education graduate in planning, implementing and evaluating effective health programs.
Knowledge in the area of teen pregnancy prevention, HIV/AIDS prevention, and youth development.
Excellent customer service, communication (public speaking, presentations, group faciliation), and interpersonal skills.
I am interested in working in an area where I can positively and effectively exercise my acquired knowledge in community health; building meaningful relationships with clients & co-workers; educating adolescents on pregnancy and STD/HIV prevention, educating and promoting the importance of preconception health.
Specialties:
Customer service, HIV/AIDS education and promotion, group facilitation, program planning, program implementation, program evaluation, and rural health.
STUDY.COM_ SOCIAL CHANGE OVER TIME
I HOPE IT IS HELPFUL FOR YOU> BUT PLS IWANT CREDITS> OR ADD ME AND MESSAGE ME THANKS
THERE IS A NOTE FOR PRESENTERS VIEW
HAVE A GOOD DAY
KEEP CALM AND DRINK ON
NAME: Ellen Magalona
GNDR: FML
BRTHDY: FEB. 1998
@ellenmaaee
OrientDB, the fastest document-based graph database @ Confoo 2014 in Montreal...Alessandro Nadalin
OrientDB is a NoSQL graph database which also includes a document layer (like MongoDB): it gained a lot of attention, enough to push big companies like Sky and UltraDNS to use it in production: it's written in Java and it's amazingly fast, since it can store up to 150,000 records per second on common hardware; moreover, thanks to being a graphdb, it can manage relationship so fast that, compared to traditional DBs, can be 1000% faster than them.
We will take a deep dive into ArangoDB (https://www.arangodb.com/) together with Max (https://www.linkedin.com/in/maxneunhoeffer) one of the core developers of the product.
ArangoDB is a multi-model database, which means that it is a document store, a key/value store and a graph database, all in one engine and with a query language that supports all three data models, as well as joins and transactions. Queries can use a single data model or can even mix them.
ArangoDB scales out horizontally with convenient cluster deployment using Apache Mesos. Furthermore, the HTTP API can easily be extended by server-side JavaScript code using high performance access to the C++ database core.
During the talk I will show all these features using several different cloud deployments, since in most projects one will not deploy a ArangoDB monolith, but rather multiple instances, each either a possibly replicated single server, or a cluster. This demonstrates that all these properties together make ArangoDB a very useful and valuable tool in modern microservice oriented architectures.
My slides from the Big Data Applications meetup on 27th of July, talking about FlinkML. Also some things about open-source ML development and an illustation of interactive Flink machine learning with Apache Zeppelin.
Fault-tolerant and thus distributed applications are hard, but Mesos is the ultimate breeding ground for them. Rule number one for designing such beasts is to use well-known, tried and tested, and in particular proven methods and tools as building blocks.
Video recording of the talk: https://www.youtube.com/watch?v=6O_Wuc9FUXg&index=1&list=PLbzoR-pLrL6pLSHrXSg7IYgzSlkOh132K
Replication, Durability, and Disaster RecoverySteven Francia
This session introduces the basic components of high availability before going into a deep dive on MongoDB replication. We'll explore some of the advanced capabilities with MongoDB replication and best practices to ensure data durability and redundancy. We'll also look at various deployment scenarios and disaster recovery configurations.
My talk from SICS Data Science Day, describing FlinkML, the Machine Learning library for Apache Flink.
I talk about our approach to large-scale machine learning and how we utilize state-of-the-art algorithms to ensure FlinkML is a truly scalable library.
You can watch a video of the talk here: https://youtu.be/k29qoCm4c_k
Applying large scale text analytics with graph databasesData Ninja API
Data Ninja Services collaborated with Oracle to reach a major milestone in the integration of text analytics with Oracle Spatial and Graph. The Data Ninja Services client in Java can be used to analyze free texts, extract entities, generate RDF semantic graphs, and choose from a number of graph analytics to infer entity relationships. We demonstrated two case studies involving mining health news and detecting anomalies in product reviews.
Overview of Solr 6.2 examples, including features they have and challenges they present. A contrasting demonstration of a minimal viable example. A step-by-step deconstruction of "films" example to show what part of shipped examples are not actually needed.
Machine Learning with Apache Flink at Stockholm Machine Learning GroupTill Rohrmann
This presentation presents Apache Flink's approach to scalable machine learning: Composable machine learning pipelines, consisting of transformers and learners, and distributed linear algebra.
The presentation was held at the Machine Learning Stockholm group on the 23rd of March 2015.
Introduction to Cassandra: Replication and ConsistencyBenjamin Black
A short introduction to replication and consistency in the Cassandra distributed database. Delivered April 28th, 2010 at the Seattle Scalability Meetup.
OrientDB, the fastest document-based graph database @ Confoo 2014 in Montreal...Alessandro Nadalin
OrientDB is a NoSQL graph database which also includes a document layer (like MongoDB): it gained a lot of attention, enough to push big companies like Sky and UltraDNS to use it in production: it's written in Java and it's amazingly fast, since it can store up to 150,000 records per second on common hardware; moreover, thanks to being a graphdb, it can manage relationship so fast that, compared to traditional DBs, can be 1000% faster than them.
We will take a deep dive into ArangoDB (https://www.arangodb.com/) together with Max (https://www.linkedin.com/in/maxneunhoeffer) one of the core developers of the product.
ArangoDB is a multi-model database, which means that it is a document store, a key/value store and a graph database, all in one engine and with a query language that supports all three data models, as well as joins and transactions. Queries can use a single data model or can even mix them.
ArangoDB scales out horizontally with convenient cluster deployment using Apache Mesos. Furthermore, the HTTP API can easily be extended by server-side JavaScript code using high performance access to the C++ database core.
During the talk I will show all these features using several different cloud deployments, since in most projects one will not deploy a ArangoDB monolith, but rather multiple instances, each either a possibly replicated single server, or a cluster. This demonstrates that all these properties together make ArangoDB a very useful and valuable tool in modern microservice oriented architectures.
My slides from the Big Data Applications meetup on 27th of July, talking about FlinkML. Also some things about open-source ML development and an illustation of interactive Flink machine learning with Apache Zeppelin.
Fault-tolerant and thus distributed applications are hard, but Mesos is the ultimate breeding ground for them. Rule number one for designing such beasts is to use well-known, tried and tested, and in particular proven methods and tools as building blocks.
Video recording of the talk: https://www.youtube.com/watch?v=6O_Wuc9FUXg&index=1&list=PLbzoR-pLrL6pLSHrXSg7IYgzSlkOh132K
Replication, Durability, and Disaster RecoverySteven Francia
This session introduces the basic components of high availability before going into a deep dive on MongoDB replication. We'll explore some of the advanced capabilities with MongoDB replication and best practices to ensure data durability and redundancy. We'll also look at various deployment scenarios and disaster recovery configurations.
My talk from SICS Data Science Day, describing FlinkML, the Machine Learning library for Apache Flink.
I talk about our approach to large-scale machine learning and how we utilize state-of-the-art algorithms to ensure FlinkML is a truly scalable library.
You can watch a video of the talk here: https://youtu.be/k29qoCm4c_k
Applying large scale text analytics with graph databasesData Ninja API
Data Ninja Services collaborated with Oracle to reach a major milestone in the integration of text analytics with Oracle Spatial and Graph. The Data Ninja Services client in Java can be used to analyze free texts, extract entities, generate RDF semantic graphs, and choose from a number of graph analytics to infer entity relationships. We demonstrated two case studies involving mining health news and detecting anomalies in product reviews.
Overview of Solr 6.2 examples, including features they have and challenges they present. A contrasting demonstration of a minimal viable example. A step-by-step deconstruction of "films" example to show what part of shipped examples are not actually needed.
Machine Learning with Apache Flink at Stockholm Machine Learning GroupTill Rohrmann
This presentation presents Apache Flink's approach to scalable machine learning: Composable machine learning pipelines, consisting of transformers and learners, and distributed linear algebra.
The presentation was held at the Machine Learning Stockholm group on the 23rd of March 2015.
Introduction to Cassandra: Replication and ConsistencyBenjamin Black
A short introduction to replication and consistency in the Cassandra distributed database. Delivered April 28th, 2010 at the Seattle Scalability Meetup.
1. E m i l y H a u s e r
Queens, New York
e.hauser26@gmail.com - (347) 453-7207
Education: Queens College of the City University of New York
Bachelor of Arts -May 2013
Major: Sociology Minor: History
Queensborough Community College of the City University of New York
Associates of Science -August 2011
Major: Business Administration
Saint Agnes Academic High School
High School Diploma, Advanced Regents -June 2006
Experience: Morgan & Morgan, P.A., New York, NY
Client Intake Specialist March 2016- Present
• Work closely with our case control team getting the legal claims of prospective clients for qualification.
• Collect client information & draft incident summaries.
• Schedule appointments.
• Update clients verbally and/or via email/chat on their case status as needed.
• Resolve problems & handles client’s issues in a professional manner.
• Process paperwork for new clients efficiently & in accordance with protocols.
• Obtain pertinent information from new clients by asking them to complete surveys or interviews courteously &
professionally.
• Answer & screen inquiry calls & emails from prospective clients.
• Collect data to help with the admission process if working in a health or mental care facility.
• Ensure that all admission forms are properly signed & filed.
• Communicate with other team members constructively in order to reduce conflict & enhance the resolution of issues.
• Respect client or patient dignity & confidentiality.
• Adhere to the facility dress code & appears professional at all times.
• Display the ability to communicate with others effectively, listen closely & convey points clearly.
• Show proficiency with computer programs including Microsoft Word, Excel, PowerPoint, Outlook & Salesforce.
• Demonstrate excellent customer service skills & the ability to calm patients or clients who may be distraught.
• Show the ability to calm frustrated clients quickly & make decisions based upon anticipated outcomes.
• Posses very strong organizational & interpersonal skills, be highly detail oriented, & have the ability to multi-task,
prioritize, handle a fast-paced environment & manage workload with a great attitude & minimal supervision.
• Possess the ability to adjust to constantly changing workloads.
Law School Admission Council, Long Island City, NY May 2014 - Present
Proctor
• Supervise students taking graduate and professional school standardized tests including the Law School Admission
Test (LSAT) & the Multistate Professional Responsibility Examination (MPRE)
• Handle inquiries and requests
• Maintain order and security in the classroom
• Assist the Room Supervisor
• Properly notate and handle paperwork associated with the session
• Collect, organize, and return all test materials
Board of Elections of the City of New York, Ridgewood, NY September 2009 - Present
Poll Worker/Inspector
• Set up and take down voting machinery to insure integrity of the election process
• Prepare the poll site for voters
• Assisting voters to proper voting stations and easing the voting barriers for the electorate
• Properly handle paperwork associated with the election
• Maintain the integrity of the ballot process
• Close the poll site
• Attend annual training classes
• Canvass, tally and report the votes at conclusion of the Election Day
• Assist other poll workers as needed
Hauser 1
2. MetroPlus Health Plan/NYC Health & Hospitals Corporation, NY, NY November 2014 -July 2015
Marketing Representative
• Identify prospective enrollees and determine eligibility for participation in all MetroPlus Health Plan’s products.
• Understand and apply all policies and procedure pertaining to:
1) Disclosures and provisions of the various MetroPlus Health Plan products.
2) Enrollment and disenrollment for each line of business.
• Conduct home visits, and personalized appointments as needed to complete the enrollment process.
• Market MetroPlus lines of business on-site at hospitals, Income Support Centers, Medical Centers, community based
PCP offices, health fairs, community events and other sites as designated.
• Understand the covered benefits, non-covered benefits, exclusions and exemptions.
• Educating enrollees on all aspects of the Plan, as well as answering questions regarding Plan’s features and benefits.
• Keep informed and adhere to current information pertaining to marketing activity guidelines set forth by various
regulatory agencies—this includes providing enrollees with all corresponding materials and documentation.
• Complete applications and field reports such as Presumptive Eligibility reports, and personnel forms (time sheets,
expense reports, etc.) in a timely and accurate manner.
• Work closely with the Outreach Representatives, Customer Service Representatives, Eligibility Representatives &
other MetroPlus personnel to resolve member concerns regarding complaints & potential enrollments or
disenrollments.
• Establish and maintain a positive working relationship with facility and site staff community and provider
organizations, as well as City and State regulatory agencies.
• Assist members in accessing health care, transportation & other services or issues as they occur & pertain to members.
• Conduct and participate in telemarketing/outreach efforts as required.
• Required to complete the annual Medicare Model of Care training.
Greater Ridgewood Youth Council, Ridgewood, NY March 2014 - July 2014
Counselor
• Supervise and care for children grade levels Kindergarten through fifth grade at P. S. 91Q Richard Arkwright School
• Provide homework assistance
• Facilitate or co-facilitate program activities, such as art, group discussions, crafts, and recreational games
• Communicate effectively with parents, participants and staff
• Assist the Program Director
• Work closely with staff to provide quality programming
• Immediately inform the Program Director of any concerns or problems concerning the program's facilities
• Be a positive role model for young people
• Monitor recreational activities
• Develop and maintain positive relationships with parents and guardians
• Provide first aid if necessary
• Complete all required documentation, including but not limited to incident/accident reports, attendance, and sign-in /
sign-out sheets
• Supervise parent/guardian sign-in at the end of the program
YMCA of Greater New York, New York, NY October 2010 - May 2013
Lifeguard
• Follow National YMCA Aquatic Program guidelines
• Actively scan, recognize and provide rapid response in all emergency situations
• Attend monthly in-service training
• Enforce pool policies and procedures
• Administer first aid if necessary
• Lock and secure pool at closing
• Complete aquatic logs and reports
• Participate in aquatic quarterly drills
Splash Management Inc, Forest Hills, NY July 2010 - September 2010
Lifeguard
• Actively scan, recognize and provide rapid response in all emergency situations
• Enforce pool policies and procedures
• Administer first aid if necessary
• Lock and secure pool at closing
• Complete aquatic logs and reports
Hauser 2
3. NYPD 104th Precinct (NYCDYCD & GRYC), Ridgewood, NY July 2010 - August 2010
Administration/Clerical
• Administrative responsibilities in crime analysis, special operations, & detective offices
• Transcribe stop & frisk reports
• Answer phones
• Make copies
• File payroll & rollcall
U.S. Census Bureau, Rego Park, NY April 2010 - June 2010
Enumerator
• Planned work by reviewing assignment area to determine organization of neighborhoods and locate households for
conducting interviews
• Locate households in Glendale and Ridgewood, Queens, and the Upper East Side of Manhattan
• Explain the purpose of the census interview and answered residents' questions
• Conduct personal interviews with residents in assigned areas by following stringent guidelines & confidentiality laws
• Elicited information following a script
• Record responses on paper forms
• Complied with accuracy standards while maintaining high production rates
• Assessed quality control levels on selected addresses, determined which samples passed or failed, and maintained
records for quality control verification
• Maintained records of hours worked, units produced, miles driven, quality control results, and expenses incurred in the
performance of duties
• Met with supervisor to review and submit work, and receive additional instructions
NYC Dept. of Youth & Community Development, Ridgewood, NY June 2009 - August 2009
Summer Camp Counselor
• Provide overall supervision of twenty-five campers ages nine & ten at I. S. 93Q while ensuring their well-being &
safety whilst they are enjoying the fun & rewarding experience of summer camp.
Amish Market, Glendale, NY May 2007 - August 2007
Cashier
• Ring up sales & reconcile drawer
• Stock merchandise
• Clean tables & maintain eating area
Activities: Queensborough Community College, Bayside, NY
Varsity Swim Team August 2009-May 2011
• Most Improved Swimmer -May 2010
Skills, • Competency in Microsoft Word, PowerPoint, Excel, and Outlook.
Trainings, & • IRB (Institutional Review Board) Certified by the National Cancer Institute at the National Institutes of Health.
Certifications: • New York State Licensed Driver.
• Registered Marketplace Facilitated Enroller by New York State of Health.
• Completed Child Abuse Prevention Training by the YMCA of Greater New York.
• Completed Citizen Preparedness Training by the New York State Citizens Preparedness Corps.
• Completed Using Your Strengths to Your Advantage (DiSC for Non-Managers) Training by PeopleSoft
ELM/MetroPlus Health Plan.
• Completed FIDA and Model of Care Training by MetroPlus Health Plan.
• Completed Diversity & Cultural Competency at HHC Training by New York City Health & Hospitals Corp.
• Completed Webinar on IRS Form 1095-A for QHP Enrollees (Navigators, Marketplace FE's, CACs) by NYSOH.
• Completed HHC MFE (MarketPlace Facilitated Enroller) Training by MetroPlus Health Plan/NYC HHC.
• Completed Health Exchange Training (MarketPlus) by PeopleSoft ELM/MetroPlus Health Plan.
• Trained in Administering Emergency Oxygen by the American Red Cross; Lifeguarding by the YMCA of
America; CPR/AED by the National Safety Institute; CPR/AED (Pro), First Aid, and Administering Emergency
Oxygen by the American Safety and Health Institute.
• Currently certified in CPR/AED (Pro), Lifeguarding, and First Aid by the American Red Cross.
Volunteer • Physical Therapy Aide at NYC HHC Elmhurst Hospital Center 2015 -Present
Experience: • Director of Social Media for Save the Ridgewood Reservoir 2013 -Present
• Production Assistant for Fashion Photographer 2013 -Present
Hauser 3
4. • Volunteer at Trinity Reformed Church of Brooklyn 2008 -2013
• Craft Teacher for Preschool Level & First Aid Station for Vacation Bible School 2008 -2013
• Multimedia Assistant at Trinity Reformed Church of Brooklyn 2008 -2010
Hauser 4