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Call Center Technical Support

Location:
Queens, NY
Posted:
March 02, 2024

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Resume:

Skills:

Windows, Mac, Linux, LAN, WAN, Active Directory, Subnetting, A+, Network+, MS Office, Python, C++, Java, OOP, SQL, ETL, Machine Learning, Scikit-learn, NumPy, Pandas, Keras, Statsmodels, SciPy, Hypothesis Testing, Matplotlib, Seaborn, Version Control (git), Zendesk, Salesforce, Service Now, Customer Service, Call Center, Technical Support, Tableau, Native Spanish

PROFESSIONAL EXPERIENCE:

Asylum Application Help Center (Mayor’s Office of Immigration Affairs) New York, NY Operations Associate II 9/2023 – present

Used Salesforce and Excel to assist in daily operational tasks including checking the clients in as they enter the building, pairing them with an application assistant while in the waiting area, and checking them out when they have completed their appointment, as well as scheduling new appointments if necessary.

Reached out to Spanish-speaking clients, in order to create, or confirm their appointment for assistance with their asylum (I-589), TPS (I-821), and/or EAD (I-765) application, using Salesforce and Microsoft Excel.

Assisted clients in obtaining information about different social services, and government programs, including information about other organizations that provide legal help, health coverage, reduced public transportation fares, relocation programs, employment help, obtaining a driver’s license, a list of food pantries, and more.

Provided Spanish interpretation when necessary.

Catholic Charities New York, NY Consultant (Immigration Affairs) 5/2023 – 9/2023

Interviewed clients by phone, and in person in the federal immigration court buildings, prior to their pro-bono legal consultation, communicating directly in English or Spanish, and in multiple other languages as well, using an online interpreter.

Assisted clients in completing their Application for Asylum and for Withholding of Removal (I-589).

Used Law Logix and Excel, to help reorganize the filing system which consisted of thousands of client cases, both active and completed.

Doc Go New York, NY Bilingual Immigration Admin (Spanish) 1/2023 – 2/2024

Used Salesforce to assist in daily operational emergency response tasks including helping with the intake of newly arrived asylum seekers, assigning them housing, and assisting them in obtaining travel in order exit the system, and relocate with family or friends.

Assisted clients in obtaining information about different social services, and different government programs, such as information about other organizations that provide legal help, health coverage, reduced public transportation fares, relocation programs, employment help, obtaining a driver’s license, a list of food pantries, and more.

Used Athena software to perform patient intake and scheduling, when migrants needed medical help, or to get vaccinated.

Provided Spanish interpretation when necessary.

Mount Sinai Hospital Network New York, NY Help Desk Analyst 1/2023 – 4/2023

Assisted in training Mount Sinai hiring managers, recruiters, and onboarding specialists on the new Mt. Sinai Cloud Software.

LaGuardia Community College / Flatiron School New York, NY Full Time Student 9/2020 – 9/2022

Obtained my Associate Degree in computer science from LaGuardia Community College.

Completed the Flatiron School Data Science course, that included acquiring data from different sources, pre-processing the data, and solving real world problems using different types of machine learning models.

B and H Photo and Video New York, NY Computer Sales Associate 6/2014 – 6/2020

Assisted customers in finding their best technology based solutions, in both English and Spanish, both on the sales floor and in the call center.

Continually learned about new technologies, and product lines through vendor, and online training.

Dealt with high call volumes, in the call center, assisting customers in both English and Spanish, using Salesforce.

Provided technical support with newly purchased devices.

Support.com New York, NY

Remote Support Technician 12/2013 – 6/2014

Provided troubleshooting, and technical support for a wide range of wired and wireless LAN connectivity issues.

Remotely configured settings on routers, and wireless gateways for Comcast / Xfinity customers.

Dealt with high call volumes, in a technical call center environment, with queues that exceeded 200, assisting customers in both English and Spanish.

Arroba Computer Solutions New York, NY

Computer Technician - Business Owner 05/2001 – 06/2013

Ran day to day administrative operations of the business.

Upgraded repaired, and refurbished thousands of desktops and laptops (Microsoft Windows, macOS, Linux) .

Repaired, and performed data transfer for tablets and phones (Microsoft Windows, iOS, Android) .

Sold new, used, refurbished, and off-lease desktops, laptops, tablets and computer equipment.

Diagnosed intermittent problems, such as overheating, hard drive or memory issues, and short circuits.

Provided computer training in basic computer use, and computer repair, in both English and Spanish.

Provided technical support over the phone, or with remote desktop software such as TeamViewer.

Installed and configured, Lan(s) for small businesses, including employments agencies, and internet café(s).

EDUCATION:

John Jay College of Criminal Justice New York, NY

Bachelor’s Degree in Computer Science and Information Security (B.S) 1/25/24 - present

Flatiron School New York, NY

Data Science Flex program 9/2022

LaGuardia Community College Long Island City, NY

Associate Degree in Computer Science (A.S) 12/2020

GPA: 3.71

Technical Projects (Data Science):

Using a Convolutional Neural Network for Early Detection of Retinal Diseases

A machine learning model that could detect ocular diseases from the image of a retina.

Using a Classification Model to Predict Who is More Likely to Take the H1N1 Flu Vaccine

A machine learning model that produces insights that could be used to more effectively promote vaccination.

Using a Linear Regression Model to Predict Home Prices Based on Changes Made to the Home

A machine learning model that could help predict the price of a house based on the changes made to it.

Using Descriptive Analysis to Make Recommendations as to Which Types of Movies are Most Profitable

Making recommendations as to which movie types are most profitable.



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