Luísa Becegato
@luisabecegato
Data Scientist with skills in predictive modeling, Python programming, and data analysis
What I'm looking for
I am a seasoned Data Scientist with expertise in predictive modeling, Python programming, data analysis, and visualization. I have a strong background in creating dashboards with Matplotlib and Dash, and working with databases via SQL. My experience spans across various industries, including healthcare and retail, where I have developed and implemented machine learning models, automated processes, and improved operational efficiency.
Throughout my career, I have worked with various tools and technologies, including Pandas, Numpy, SciPy, scikit-learn, Jupyter notebooks, GitHub, and RStudio. I am well-versed in Big Data, hierarchical clustering, and K-Means. My strong analytical skills, combined with my ability to work with large datasets, make me a valuable asset to any organization.
I am passionate about staying up-to-date with the latest advancements in data science and machine learning, and I am excited to bring my skills and expertise to a new challenge.
Experience
Created an automation using Python libraries such as BeautifulSoup and Scrapy to perform web scraping from various sources. Developed the 'Price Flow' application utilizing ML algorithms to assist in pricing decisions for retail and wholesale products.
Data Scientist & Economist
Abramge
Sep 2022 - Dec 2022 (3 months)
Automated all analytical studies using R and Python, significantly reducing manual processing time. Implemented time series models, such as ARIMA and exponential smoothing, for forecasts in the private healthcare sector.
Senior Data Scientist
Dr. Consulta
Jan 2022 - Apr 2023 (1 year 3 months)
Automated daily data processes using Python scripts and SQL, enhancing efficiency in the Marketing, Products, and Pricing departments. Built and clustered a consolidated database using K-Means clustering, integrated with the DOMO BI platform.
Statistical Programmer
USP
Aug 2015 - Dec 2022 (7 years 4 months)
Participated in various data analysis projects, gaining experience in high-performance programming with Python and R, and advanced statistical techniques for data interpretation and evaluation.
Tech stack
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