Building Insights with Sable
Sable Body | Transforming Data into Insights
Hello,
I’m an aspiring data analyst with a passion for uncovering insights that drive meaningful decisions. My journey into data began with a love for solving problems and organizing information. Today, I specialize in analyzing trends, creating visual stories, and delivering actionable insights. Welcome to my portfolio site, where you’ll find projects that reflect my dedication to analytics and continuous learning.
Posts
Work Experience
Over the years, I’ve developed a strong foundation in data analysis and problem-solving through diverse roles in technology and operations. My experience includes working with tools like Excel for data management, SQL for querying databases, and visualization tools to communicate insights effectively.
In my previous roles at Uber and Accenture, I contributed to process improvement and quality assurance efforts. At Uber, I leveraged Excel to analyze and track user-reported bug reports, ensuring timely identification and resolution of recurring issues. At Accenture, I collaborated with QA teams to test and refine workflows, ensuring accuracy and efficiency in deliverables.
These experiences have honed my attention to detail, ability to adapt to complex challenges, and passion for transforming data into meaningful solutions. I’m excited to bring this expertise into my projects and future roles in data analytics.
Uber Technologies
Senior Expert, In-Person Support
06/2023 - 12/2024
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Supported earners via video call, phone call, and in-person support.
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Supported 20+ Uber drivers daily, handling their concerns through probing questions, empathy, care, and clear communication.
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Communicate effectively with various stakeholders, and collaborate with internal employees when needed.
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Triaged earner reported bugs, detailed internal escalations, and built a case as to why the issue needs resolution. During audits, these escalations resulted in a 100% rate.
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Trained new staff members.
Accenture
Platform Experience Associate
07/2021 - 05/2023
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Moderated content to ensure it aligned with Meta's guidelines by flagging violating content.
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Collected, analyzed, and organized data to help make policy decisions.
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Processed and categorized over 300 tickets daily, with a 97% accuracy rate, meeting stringent quality assurance standards.
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Addressed new and trending content types as violating, focusing on potentially harmful material.
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Maintained status as a top performer on multiple projects by using problem-solving and analytical skills within my workflow to exceed client expectations.
Collabera
Content Review Analyst
11/2018 - 07/2021
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Moderated social media content.
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Collaborated with QA teams on software testing, identifying bugs, and inconsistencies to improve system
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Served as the team’s top performer for one of the world’s largest social networks.
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Analyzed and labeled a variety of content to ensure platform and user protection.
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Quickly adapted to changing trends and frequent policy updates.
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Developed new workflows and signal adjustments to enhance quality of work and team standards.
Throughout my learning journey, I have earned certifications that demonstrate my skills and commitment to professional growth in data analytics, Python programming, and data visualization. These certifications reflect my ability to work with industry-standard tools and methodologies, including Excel, SQL, Python, and business intelligence platforms. They also highlight my dedication to continuous learning and staying current with best practices in data analysis and problem-solving.
Learn SQL - Codecademy
Dec 2024
Learned how to manage large datasets and analyze real data using the standard data management language.
Data Visualization and Dashboards with Excel and Cognos - IBM
Nov 2024
Learned to create both basic and advanced visualizations, including line graphs, treemaps, and scatter plots, to effectively communicate data-driven stories.
Excel Basics for Data Analytics - IBM
Nov 2024
Learned to demonstrate strong Excel skills for data analysis, including navigation, data cleaning, formulas, and pivot tables, while employing techniques to filter, sort, and analyze data effectively.
Python for Data Science, AI & Development - IBM
Nov 2024
Learned Python, focusing on its use in data science and software development. I applied programming concepts like variables, data structures, loops, functions, and object-oriented programming. I also gained proficiency in libraries like Pandas and NumPy and developed code using Jupyter Notebooks.
Introduction to Data Analytics - IBM
Nov 2024
Learned that data analytics involves collecting, cleaning, analyzing, and visualizing data to uncover insights. I also gained an understanding of various data roles and how they contribute to working with different data structures, file formats, and sources.
Excel: Woking Together with Power Query & Power Pivot
Oct 2024
Learned how to use Power Query and Power Pivot in Excel to streamline data discovery, connection, and modeling. I practiced preparing and cleansing data with Power Query and creating data models, relationships, and calculations in Power Pivot. Additionally, I explored real-world scenarios to apply these tools effectively.
