Customer Service Data Science
Resume:
Vonda Smith
Always learning and trying to better myself.
Lillian, AL 36549
********@*****.***
Professional Summary
I have worked for the US Postal Service for 22 years. Found myself wanting more and ready for a change. I love working with computers and Data Science. I have also been doing Customer Service for over 25 years. There is a strong need for better Customer Service in todays market. Work Experience
Regular Rural Carrier
Post Office USPS-Pensacola, FL
September 1999 to Present
Customer Service, Delivery
Education
Certificate in Operating Systems in Internet Technology Coursera
July 2022 to Present
Certificate in Data Analytics
Coursera - Remote
May 2022 to Present
Certificate in Bits and Bytes in Internet technology Coursera
June 2022 to July 2022
High school diploma
Pensacola Catholic High - Pensacola, FL
March 1990 to May 1991
Skills
• Data Entry
• Computer Operation
• Driving (10+ years)
• Genealogy (10+ years)
• Typing (10+ years)
• Microsoft Office (10+ years)
• Delivery Driver Experience (10+ years)
• Computer Skills (10+ years)
• Word Processing (10+ years)
• Research (10+ years)
• Microsoft Outlook
• Computer Literacy (10+ years)
• Communication Skills (10+ years)
• Phone Etiquette (10+ years)
• Photography
• Time Management
• Microsoft Excel
• Clerical Experience
• Binary Code (1 year)
• Software troubleshooting (1 year)
• Linux (1 year)
• Customer Service (10+ years)
• Front Desk
• Hadoop (Less than 1 year)
• UNIX (Less than 1 year)
• Pandas (Less than 1 year)
• Python (1 year)
• Jupyter notebooks (Less than 1 year)
• Data mining (Less than 1 year)
• Machine Learning
• Deep learning
• IBM Cloud (Less than 1 year)
• IBM Watson Studio
• R
• Customer service (10+ years)
• English
• NumPy (Less than 1 year)
• Webscaping (Less than 1 year)
• Zendesk
• Databases
• Customer support
• Mobile applications
• Data collection
• Technical support
• Windows
• Operating systems
• IPV4
• IPV6
• Software troubleshooting
• MySQL
• SQL
Awards
Certificate for Tools of Data Science, IBM, Coursera online June 2022
https://coursera.org/share/d96c3e316c32d0a8ef6e6b3475c0354a
• Data Science
• GitHub
• Python Programming
• RStudio
• Jupyter Notebooks
IBM - Python For Data Science, AI and Development
July 2022
https://coursera.org/share/8181e529523b7ae118beceb1b0aa16b4
• Explain Python Basics including Types, Expressions, and Variables.
• Describe Data Structures in Python including Lists, Tuples, Dictionaries, Sets.
• Apply Python programming using Branching, Loops, Functions, Objects & Classes
• Work with data in Python using Pandas and Numpy libraries. 1. Data Science
2. Python Programming
3. Data Analysis
4. Pandas
5. Numpy
Python Project for Data Science
July 2022
https://www.coursera.org/account/accomplishments/verify/LHJG9PGCG472? utm_source=link&utm_medium=certificate&utm_content=cert_image&utm_campaign=pdf_header_button&utm_produc
• Demonstrate your Skills in Python - the language of choice for data science and data analysis
• Play the role of a data scientist or data analyst working on a real Python project.
• Apply Python fundamentals and data structures and work with data in Python.
• Build a dashboard from Jupyter notebook by using Python and popular Python libraries. 1. Data Science
2. Python Programming
3. Python
4. Data Analysis
5. Pandas
The Bits and Bytes of Computer Networking
July 2022
https://coursera.org/share/2fe3616c35d50f4da01ec56f1b190e5f DOMAIN NAME SYSTEM (DSN)
IPV4
IPV6
NETWORK MODEL
TROUBLESHOOTING
Certifications and Licenses
Driver's License
Technical Fundamentals
May 2021 to Present
Coursera Online Course.
Technical Fundamentals Certificate
Completed on May 21, 2021
Binary Code
Customer Service
Linux
Troubleshooting
https://coursera.org/share/fa0f4b4f3a033da36b0683af7daaf7e4 What is Data Science
June 2022 to Present
https://www.coursera.org/account/accomplishments/verify/CY8CXNKTCGFV? utm_source=link&utm_medium=certificate&utm_content=cert_image&utm_campaign=sharing_cta&utm_product=cour
• Data Science
• Deep Learning
• Machine Learning
• Big Data
• Data Mining
Data Science Methodology - Coursera Certification
June 2022 to Present
https://coursera.org/share/2cf2ba81b1612e382ff525d42bbc6783 Data Science
Data Mining
Methodolgy
Assessments
Attention to detail — Proficient
May 2022
Identifying differences in materials, following instructions, and detecting details among distracting information
Full results: Proficient
Teamwork: Interpersonal skills — Proficient
May 2022
Responding to challenging team situations at work
Full results: Proficient
Data entry: Attention to detail — Proficient
May 2022
Maintaining data integrity by detecting errors
Full results: Proficient
Indeed Assessments provides skills tests that are not indicative of a license or certification, or continued development in any professional field.
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