- Upwork's top 1% of global experts.
- AI professional and results-focused thought leader with more than 20 years of experience in
artificial intelligence, machine learning, deep learning, data analytics, big data, data management,
signal and image processing.
- Worked with renowned corporations such as Google, IBM, J. P. Morgan Chase, Blue Cross Blue
Shield, and Abbvie, delivering AI solutions in diverse domains like Healthcare, Pharmaceutical,
Insurance, Finance, Retail, e-commerce, Education, etc.
- Successfully launched AI products that have generated Millions of Dollars in Profit and led to
significant cost savings every month for my clients.
- Awarded by NASA, the US Department of Defense, IEEE, NSF, etc.
- Extensive experience in implementing AI solutions; Reinforcement Learning, DNN, RNN, LSTM,
CNN, LLM, Autoencoders, Classification, Regression, Decision Trees, Random Forest, Bayesian
Network, KNN, SVM, Logistic Regression, Neural Networks, Clustering, PCA, Optimization
Methods, Ensemble Techniques, Gradient Boosting, Bagging, Recommendation Systems,
Natural Language Processing (NLP), Chatbot, Conversational AI, Content Summarization,
Anomaly Detection, Forecasting, Predictive Analytics, Computer Vision and Generative AI.
- Certified by Google–Advanced Solutions Lab (ASL) for Machine Learning Immersion.
- Expertise in Amazon Web Services (AWS): EC2, Sagemaker, S3, RedShift, Aurora, etc.
- Expertise in Google Cloud Platform (GCP): Vertex AI, Generative AI, BigQuery, Cloud Storage,
DataFlow, etc.
- Trained by Google ASL and Cloud PSO for Google Cloud ML & Google Cloud platform.
- Major contributions in AI & ML solution delivery include Strategic oversight and Ideation, Dataset
analysis, Feature engineering, AI & ML model selection, AI & ML model development, Train and
evaluation of AI & ML models, Hyperparameter tuning, Implementation and support of AI & ML
models, Review of AI & ML model performance, AI & ML model optimization, Predict and represent
meaningful insights from data, and Data visualization.
- Experience in personalized medicine and personalized marketing.
- Experience in software languages (Python, R and more).
- Extensive experience in Data Science libraries in Python such as TensorFlow, Keras, PyTorch,
Scikit-Learn, Pandas, NumPy, Gym, NLTK, Spacy, Matplotlib, Seaborn, etc.
- Leading project team during all phases of the development life cycle including planning, analysis,
design, build, implementation and continuous service.
- Strong knowledge of theories and principles of Machine Learning (ML) and Deep Learning (DL),
and lectured ML & DL at different universities.
- Experience in consulting technical staff on machine learning, deep learning, signal and image
processing.
- Experience advising start-ups on Marketing Analytics, Predict Sales, Market Demands, Churn
Prediction, and Customer Retention to ensure their long-term success in the competitive tech
industry
- Experience working with various software and mobile app developments, successfully delivering
high-quality solutions, and guiding teams through the development process
- Experience in agile project management.
- High responsibilities in international conferences, and scientific societies.
- Editor-in-chief and reviewer of technical journals.
- Experience in clinical data analytics, quality assurance, and management of clinical data, EHR, EMR,
CMS data, and healthcare claims data.
Data Science
