I am an ML and data science leader with 20+ years of experience in analytics and now data science, machine learning and AI. I have applied my expertise by using data to improve business decisions, outcomes & AI application across organizations with massive global users through my experience at AT&T and WebMD. I was not a product manager.I’m an experienced solution provider with strong business acumen, providing stakeholders with cutting edge AI vision, solving business functions with AI approaches and unleashing innovation to beat the competition. I collaborate with analytics, product, marketing, engineering, IT and sales to unlock organization’s potential with AI. Below are the skills I bring:* Worked on (hands on) Graph based Recommendation Engine for Cold Start problems, Hybrid or Real Time Recommendation Engines, Deep Learning, NLP, Topic Modeling, Sentiment Analysis, Churn, Clustering, Classification, ML solutions with Regression, Linear/Multiple, SVM, Decision Tree, Random Forest, Naive Bayes, KNN, K-Means, Deep Learning Model, LSTM, LDA, and Ensemble Algorithms, GenAI, Generative AI, LLMs, Gemini Pro, LLama 2. * RStudio, Scikit-Learn, R, Spark, Google Cloud Platform, DL, H2O, Hadoop, Hive, Python, Perl, C, Unix, Octave, Weka, Artificial Intelligence, Research, Data Science.* Specialties - End to End ML, Big Data Analytics, Data Science, Automation, Reporting. * Research : Cutting edge analyses monitoring change in Products, Services & Technologies. * Broadband Throughput Research by Protocols, Apps, Latency and Jitter, Core Backbone Utilization, Adworks, Networks * Investigative Market Research, Acquisition, Customer Movement, Retention, Billing, TV viewing behaviour, ratings, advertising, demographics, profiles, social media* Heterogeneous systems - Vertica, Teradata, Natezza, Oracle, Sas, Terabytes of data, Billions of Rows. Telecom business intelligence.