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codeadvance/README.md
  • 👋 Hi, I’m @Cindy
  • 👀 I’m interested in work opportunities/projects
  • 🌱 I’m currently analyzing current job trends, market and demands
  • 💞️ I’m looking to collaborate on projects in common
  • 📫 How to reach me by https://www.linkedin.com/in/cindy-loves-mega-data/
  • 😄 Pronouns: sher/her
  • ⚡ Fun fact: I am adaptable. If you feed me food, you make my day great
  • 🧘🏻 Interest: I like meditation. This helps me to enhance my mental wellness. I also like to help others who needs guidance in mental health.

image 1 (1)

Website: https://cindylo.notion.site/Hello-I-m-Cindy-5d06be451dcc42adb63f3b20cf1b263d

Data Scientist

Technical Skills:

▪ Programming: SQL (Complex Joins, Nested Queries, Window Functions), Python (Pandas, NumPy, Scikit-Learn) ▪ Database Systems: MySQL, SQL Server, PostgreSQL, RedShift, BigQuery, ERD, RDBMS. ▪ Data Visualization & Storytelling: Power BI (ETL), Tableau, Matplotlib ▪ Statistics & Machine Learning: Hypothesis Testing, A/B Testing, Clustering, Classification, Regression.

Work Experience

Beam Data | Data Science Consultant ▪ Client: Toronto Institute of Data Science and Technology (MySQL | Python | Tableau | Apache Airflow) ▪ Conducted exploratory data analysis on a large dataset of 190+ million records to evaluate job market fluctuations and correlations with the current economy; ETL (extract-transform-load) and orchestrated with Airflow using Python to Tableau; improved job seeker efficiency by 50%. ▪ Automated data scraping from third-party sources to analyze current market trends using Python and MySQL, saving 50% of manual work that helped stakeholders make informed decisions on strategic initiatives. ▪ Conducted in-depth and meticulous analysis of customer data sets to identify discrepancies and ensure data quality, resulting

Enbridge Gas Inc. | Data Engineering Analyst

▪ Improved operational efficiency by 30% by enhancing safety procedures, ensuring pipelines stringently complied with safety standards, transporting gas to 3.7 million homes in Ontario, and reducing operational costs by 15%. ▪ Developed effective and efficient inspection plans to enhance the safety and efficiency of asset assessments, resulting in a 30% reduction in safety incidents. ▪ Conducted A/B testing on safety protocols, leading to optimized procedures that reduced inspection times by 25%. ▪ Expertly managed projects and communicated discrepancies in records of on-site equipment, leading to a 20% improvement in equipment maintenance scheduling.

City of Toronto | Data Analyst

• Effectively managed the responsibilities of three team members during a staff shortage period, ensuring the smooth progress of projects and meeting critical deadlines
• Performed quality control on 100+ multi-million projects to ensuring invoices were reconciled with the capital budgets to prevent over-budget spending
• Design, implement, test and document new features of infrastructure through computer systems\

Data Consultant & Technician | AECOM

▪Trained interns and efficiently multitasked by taking on the responsibilities of multiple roles during a staff shortage. Successfully led the team to meet project deadlines, resulting in a 30% increase in project completion rate. ▪Coordinating between construction and environmental departments to ensure projects met deadlines and budgets, resulting in increased KPI efficiency by 50% and a 20% increase in project approval rates. ▪Conducted rigorous quality control for over 100 infrastructure projects, leading to a 30% reduction in billing discrepancies. ▪Implemented data visualization dashboards to monitor project progress, which improved reporting accuracy by 30%.

Developer | Automated Media ▪Enhanced production efficiency by automating workflows to integrate AI-generated voiceovers with visual content. ▪Implemented automated workflows to integrate AI-generated voiceovers with visual content. ▪Reduced data processing time by 50% improved scalability, and significantly increased content production efficiency.

Projects

Automated Video Compiling And Video Creation In Python

image

Data-Driven Using MYSQL & Microsoft Power BI To Visualize Company's Overall Revenue

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Neural Network Machine Learning Image Processing

Neural_Network_Machine_Learning_Image_Processing Image

Education

▪ Toronto Institute of Data Science and Technology | Data Science 2024 ▪ University of New Brunswick | Bachelor of Science, Civil Engineering 2014 - 2019 ▪ University of New Brunswick | Diploma, Entrepreneurship Business 2014 - 2019

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  1. Automated-concatenated-Video Automated-concatenated-Video Public

    Using Python to automatically find the hottest trend topic and concatenate the topics, discussions, background, and music together.

  2. Automated-Job-Search Automated-Job-Search Public

    Python 1

  3. Neural_Network_Machine_Learning_Image_Processing Neural_Network_Machine_Learning_Image_Processing Public

    Neural_Network_Machine_Learning_Image_Processing

    Jupyter Notebook