I am a Data Scientist who enjoys rock climbing in my free time, as well as painting landscapes and playing the guitar.
- Mail: jose.sousa@tajhotels.com
- Address: The Taj Falaknuma Palace, Engine Bowli, Falaknuma, Hyderabad, Telangana 500053, India
- Phone: +91 40 6629 8585
- Name: Jose Sousa
- LinkedIn: linkedin.com/in/josesousa-tajfalaknumapalace
- Proficient in Python, R, and SQL for data manipulation, analysis, and visualization.
- Skilled in machine learning techniques such as regression, classification, clustering, and deep learning.
- Experienced in developing predictive models and conducting statistical analyses to derive actionable insights.
- Strong communication skills with the ability to translate complex technical concepts into clear business recommendations.
- Title: "Predictive Modeling of Customer Churn in Telecommunication Industry Using Machine Learning Techniques"
  Journal: International Journal of Data Science and Analytics
  Year: 2015

- Title: "Anomaly Detection in Network Traffic Using Deep Learning Algorithms"
  Conference: IEEE International Conference on Big Data
  Year: 2016

- Title: "Sentiment Analysis of Social Media Data for Brand Perception Measurement"
  Journal: Journal of Information Technology Research
  Year: 2017

- Title: "Forecasting Stock Prices with Long Short-Term Memory Networks"
  Conference: Neural Information Processing Systems (NIPS)
  Year: 2018

- Title: "Unsupervised Feature Selection for High-Dimensional Data Sets"
  Journal: Pattern Recognition Letters
  Year: 2019
- Mail: jose.sousa@tajhotels.com
- Address: The Taj Falaknuma Palace, Engine Bowli, Falaknuma, Hyderabad, Telangana 500053, India
- Phone: +91 40 6629 8585
- Name: Jose Sousa
- LinkedIn: linkedin.com/in/josesousa-tajfalaknumapalace

I am a Data Scientist who enjoys rock climbing in my free time, as well as painting landscapes and playing the guitar.

- Proficient in Python, R, and SQL for data manipulation, analysis, and visualization.
- Skilled in machine learning techniques such as regression, classification, clustering, and deep learning.
- Experienced in developing predictive models and conducting statistical analyses to derive actionable insights.
- Strong communication skills with the ability to translate complex technical concepts into clear business recommendations.

- Title: "Predictive Modeling of Customer Churn in Telecommunication Industry Using Machine Learning Techniques"
  Journal: International Journal of Data Science and Analytics
  Year: 2015

- Title: "Anomaly Detection in Network Traffic Using Deep Learning Algorithms"
  Conference: IEEE International Conference on Big Data
  Year: 2016

- Title: "Sentiment Analysis of Social Media Data for Brand Perception Measurement"
  Journal: Journal of Information Technology Research
  Year: 2017

- Title: "Forecasting Stock Prices with Long Short-Term Memory Networks"
  Conference: Neural Information Processing Systems (NIPS)
  Year: 2018

- Title: "Unsupervised Feature Selection for High-Dimensional Data Sets"
  Journal: Pattern Recognition Letters
  Year: 2019