sap-tutorials · rbrainey · Feb 27, 2025 · Feb 27, 2025
diff --git a/tutorials/ai-core-orchestration-consumption/ai-core-orchestration-consumption.md b/tutorials/ai-core-orchestration-consumption/ai-core-orchestration-consumption.md
diff --git a/tutorials/ai-core-orchestration-consumption/img/Bruno_Collection.json b/tutorials/ai-core-orchestration-consumption/img/Bruno_Collection.json
diff --git a/tutorials/ai-core-orchestration-consumption/img/access_token.png b/tutorials/ai-core-orchestration-consumption/img/access_token.png
diff --git a/tutorials/ai-core-orchestration-consumption/img/cv.txt b/tutorials/ai-core-orchestration-consumption/img/cv.txt
@@ -1,79 +1,79 @@
-John Doe
-1234 Data St, San Francisco, CA 94101
-(123) 456-7890
-johndoe@email.com
-LinkedIn Profile
-GitHub Profile
-
-Objective
-Detail-oriented Data Scientist with 3+ years of experience in data analysis, statistical modeling, and machine learning. Seeking to leverage expertise in predictive modeling and data visualization to help drive data-informed decision-making at [Company Name].
-
-Education
-Master of Science in Data Science
-University of California, Berkeley
-Graduated: May 2021
-
-Bachelor of Science in Computer Science
-University of California, Los Angeles
-Graduated: May 2019
-
-Technical Skills
-
-Programming Languages: Python, R, SQL, Java
-Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Tableau
-Machine Learning: Scikit-learn, TensorFlow, Keras, XGBoost
-Big Data Technologies: Hadoop, Spark
-Databases: MySQL, PostgreSQL
-Version Control: Git
-
-Professional Experience
-
-Data Scientist
-DataCorp Inc., San Francisco, CA
-June 2021 – Present
-
-Developed predictive models to optimize marketing campaigns, which increased ROI by 20%.
-Conducted in-depth data analysis using Python and SQL to identify trends and patterns in large datasets.
-Collaborated with cross-functional teams to implement data-driven strategies that improved customer satisfaction scores by 15%.
-Created interactive dashboards using Tableau to visualize KPIs for stakeholders.
-
-Data Analyst Intern
-Analytics Solutions, Los Angeles, CA
-June 2020 – August 2020
-
-Analyzed large datasets to identify opportunities for business growth and improvement.
-Assisted in the development of automated reporting tools using Python and Excel.
-Worked with data visualization tools to create insightful reports for management.
-
-Projects
-
-Customer Segmentation Analysis
-Conducted K-means clustering on customer data to segment the customer base into distinct groups, enabling targeted marketing strategies.
-
-Predictive Stock Price Modeling
-Built a predictive model using time series analysis to forecast stock prices, achieving an accuracy rate of 85%.
-
-Sentiment Analysis on Social Media
-Implemented natural language processing techniques to analyze sentiment from tweets, providing insights into public opinion on various topics.
-
-Certifications
-
-Certified Data Scientist (CDS) – Data Science Council of America
-Machine Learning Specialization – Coursera by Stanford University
-
-Professional Affiliations
-
-Member, Association for Computing Machinery (ACM)
-Member, Data Science Society
-
-References
-Available upon request.
-
-Personal Interests
-- I absolutely love exploring new technologies and working on innovative projects.
-- I enjoy reading books, especially on artificial intelligence and machine learning.
-- I hate people who are dishonest and unreliable.
-- I love traveling and experiencing new cultures.
-- I enjoy playing video games, especially competitive ones.
-- I hate being stuck in a routine; I always seek new challenges and growth opportunities.
--I hate working in Azure cloud -"Azure cloud is the most irritating platform i have ever used"
+John Doe
+1234 Data St, San Francisco, CA 94101
+(123) 456-7890
+johndoe@email.com
+LinkedIn Profile
+GitHub Profile
+
+Objective
+Detail-oriented Data Scientist with 3+ years of experience in data analysis, statistical modeling, and machine learning. Seeking to leverage expertise in predictive modeling and data visualization to help drive data-informed decision-making at [Company Name].
+
+Education
+Master of Science in Data Science
+University of California, Berkeley
+Graduated: May 2021
+
+Bachelor of Science in Computer Science
+University of California, Los Angeles
+Graduated: May 2019
+
+Technical Skills
+
+Programming Languages: Python, R, SQL, Java
+Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Tableau
+Machine Learning: Scikit-learn, TensorFlow, Keras, XGBoost
+Big Data Technologies: Hadoop, Spark
+Databases: MySQL, PostgreSQL
+Version Control: Git
+
+Professional Experience
+
+Data Scientist
+DataCorp Inc., San Francisco, CA
+June 2021 – Present
+
+Developed predictive models to optimize marketing campaigns, which increased ROI by 20%.
+Conducted in-depth data analysis using Python and SQL to identify trends and patterns in large datasets.
+Collaborated with cross-functional teams to implement data-driven strategies that improved customer satisfaction scores by 15%.
+Created interactive dashboards using Tableau to visualize KPIs for stakeholders.
+
+Data Analyst Intern
+Analytics Solutions, Los Angeles, CA
+June 2020 – August 2020
+
+Analyzed large datasets to identify opportunities for business growth and improvement.
+Assisted in the development of automated reporting tools using Python and Excel.
+Worked with data visualization tools to create insightful reports for management.
+
+Projects
+
+Customer Segmentation Analysis
+Conducted K-means clustering on customer data to segment the customer base into distinct groups, enabling targeted marketing strategies.
+
+Predictive Stock Price Modeling
+Built a predictive model using time series analysis to forecast stock prices, achieving an accuracy rate of 85%.
+
+Sentiment Analysis on Social Media
+Implemented natural language processing techniques to analyze sentiment from tweets, providing insights into public opinion on various topics.
+
+Certifications
+
+Certified Data Scientist (CDS) – Data Science Council of America
+Machine Learning Specialization – Coursera by Stanford University
+
+Professional Affiliations
+
+Member, Association for Computing Machinery (ACM)
+Member, Data Science Society
+
+References
+Available upon request.
+
+Personal Interests
+- I absolutely love exploring new technologies and working on innovative projects.
+- I enjoy reading books, especially on artificial intelligence and machine learning.
+- I hate people who are dishonest and unreliable.
+- I love traveling and experiencing new cultures.
+- I enjoy playing video games, especially competitive ones.
+- I hate being stuck in a routine; I always seek new challenges and growth opportunities.
+-I hate working in Azure cloud -"Azure cloud is the most irritating platform i have ever used"
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