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    Laura Schweigert

    Data Analyst - Python, R, SQL, Tableau - Sustainability

    Laura Schweigert is a seasoned business analyst with a wide-ranging background in project management, process optimization, and data science across both small startups and large international corporations. With a track record of crafting KPIs, automating reports, conducting forecasts, and analyzing data utilizing various programming languages, Laura has honed her skills in multifunctional team collaboration, meeting strict deadlines, and maneuvering through intricate business scenarios.

    Her interests lie in data visualization and storytelling, where she excels in conveying insights derived from data analysis, spotting areas of enhancement, and formulating practical recommendations. Laura's academic foundation includes a Bachelor of Science degree in Economics and a Master of Science degree in Business Analytics. Her skill set encompasses effective communication across different platforms, delivering presentations to diverse audiences, adept time management, KPI creation, creative problem-solving, and data-informed decision-making.

    Proficient in data collection, cleansing, modeling, analysis, and forecasting, Laura also possesses expertise in developing machine learning models, hyperparameter tuning, and utilizing data analysis tools such as Python, R, SQL, and Excel. She has a working knowledge of programming languages like HTML and PHP and excels in data visualization using Tableau. Laura Schweigert's GitHub profile can be found at https://github.com/laurapanda.

    "The best way to predict the future is to create it." - Peter Drucker

    Laura Schweigert
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    Location

    San Francisco, California