I am a Data Scientist who enjoys rock climbing in my free time, as well as painting landscapes and playing the guitar.
- Mail: joseph.nunes@stregis.com
- Address: The St. Regis, 125 3rd Street, San Francisco, USA
- Phone: +1 (415) 555-1234
- Name: Joseph Nunes
- LinkedIn: linkedin.com/in/josephnunes
- Proficient in advanced statistical analysis and machine learning techniques to derive actionable insights from complex datasets, driving data-driven decision-making within the organization.
- Skilled in programming languages such as Python and R for data manipulation and visualization, with a proven track record of developing predictive models that optimize business processes and enhance performance.
- Title: "Predictive Modeling of Customer Churn in Telecommunication Industry"
  Journal: International Journal of Data Science and Analytics
  Year: 2015

- Title: "Sentiment Analysis of Social Media Data Using Machine Learning Techniques"
  Conference: IEEE International Conference on Big Data
  Year: 2016

- Title: "Anomaly Detection in Cybersecurity Using Deep Learning Algorithms"
  Journal: Journal of Artificial Intelligence Research
  Year: 2017

- Title: "Optimizing Recommendation Systems with Collaborative Filtering Techniques"
  Conference: ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  Year: 2018

- Title: "Exploring the Impact of Feature Engineering on Predictive Models for Financial Forecasting"
  Journal: Journal of Machine Learning Research
  Year: 2019
- Title: "Predictive Modeling of Customer Churn in Telecommunication Industry"
  Journal: International Journal of Data Science and Analytics
  Year: 2015

- Title: "Sentiment Analysis of Social Media Data Using Machine Learning Techniques"
  Conference: IEEE International Conference on Big Data
  Year: 2016

- Title: "Anomaly Detection in Cybersecurity Using Deep Learning Algorithms"
  Journal: Journal of Artificial Intelligence Research
  Year: 2017

- Title: "Optimizing Recommendation Systems with Collaborative Filtering Techniques"
  Conference: ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  Year: 2018

- Title: "Exploring the Impact of Feature Engineering on Predictive Models for Financial Forecasting"
  Journal: Journal of Machine Learning Research
  Year: 2019
I am a Data Scientist who enjoys rock climbing in my free time, as well as painting landscapes and playing the guitar.
- Mail: joseph.nunes@stregis.com
- Address: The St. Regis, 125 3rd Street, San Francisco, USA
- Phone: +1 (415) 555-1234
- Name: Joseph Nunes
- LinkedIn: linkedin.com/in/josephnunes
- Proficient in advanced statistical analysis and machine learning techniques to derive actionable insights from complex datasets, driving data-driven decision-making within the organization.
- Skilled in programming languages such as Python and R for data manipulation and visualization, with a proven track record of developing predictive models that optimize business processes and enhance performance.