Jose Garcia Torres
About
The training in Physics not only involves the assimilation of theoretical and practical knowledge specific to the field but also adds unique attributes that can give a distinctive value to the profile of a data scientist. Skills such as mathematical modeling, analytical thinking, numerical calculation, or problem-solving are easily transferable to the field of Data Science and Data Analytics.
Some of the acquired knowledge during my academic training includes:
➤ Data preprocessing and cleaning with R and Python
➤ Variable selection methods
➤ Building Machine Learning models with R and Python (scikit-learn): linear and logistic regression, regression and classification trees, Bagging, Random Forest, Gradient Boosting, Support Vector Machines, ensemble methods, unsupervised learning (Principal Component Analysis, Cluster Analysis), etc.
➤ Data visualization using tools like Tableau, ggplot, and dplyr in R or matplotlib and seaborn in Python
➤ Creating dashboards with Tableau
➤ SQL databases (MySQL Workbench)
➤ NoSQL databases (MongoDB)
➤ Deep Learning | Neural Networks (TensorFlow, Keras)
➤ Spatial econometrics with R
➤ Analysis and prediction of time series (ARIMA models)
➤ Scoring models with R
In addition to my technical training, I possess soft skills that complement my analytical approach. I work well under pressure, collaborate effectively in multidisciplinary environments, find innovative solutions to complex problems, and adapt quickly to new technologies and environments. A notable point is my self-taught learning ability.
I am enthusiastic and ready to apply these skills to challenging projects and embark on a career in this exciting field.
Contact Information
Professional Email
****@****.com
Personal Email
****@****.com
Work Phone
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Mobile
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Local Location
Córdoba, Andalusia, Spain
Industry
Data Infrastructure and Analytics
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