Dinesh Kumar Email & Phone Number

• Experience in Data gathering, EDA, descriptive and Inferential statics, analytics and summarize the data with visualization tools (AWS QuickSight, Ag-grid, Graph explorer etc.)• Expertise in Governance, risk and compliance (GRC) domain and helping customers to optimize the GRC program to bring operational effectiveness.• Experience in translate given business problem into Machine learning problem and then conceptualize and design solution end-to-end. • Expertise in python machine learning algos Linear Regression, Logistic Regression, Decision Tree, Random Forest, Naive Bayes, KNN, K-Means, XGBOOST, Adaboost and SVM.• Experience in natural language (NLP) using bag of words model like DTM, TF-IDF,Word2Vec, Doc2Vec and pre-trained language models like BERT, USE.• Developed Deep Neural Network ANN, CNN, RNN, LSTM using Keras and TensorFlow.• Experience in Knowledge graph and Graph representation learning models GNN, GAT, Attri2vec And GraphSage both Inductive learning and transudative learning.• Identifying and developing Artificial Intelligence and Machine Learning based use-cases in existing OOTB product and showcasing/demonstrating to customers.• Experience in developing the robust AIML platform leveraging AWS services.• Experience in MLOps and machine learning pipeline using AWS services like S3, Cloudwatch, Step function, State machine, Cognito, Sagemaker, API gateway, Lambda etc.• Experience in graph database like AWS Neptune, Arango DB for graphical visualization.• Experience in developing the multi-tenant models leveraging the collaborative learning.• Experience in deploying model with robust ML pipeline in production (AWS Sagemaker).• Experience in Oracle SQL, PL/SQL– Complex SQL Queries, Collections, Cursors, Package.• Worked with multiple customers as part of customer co-innovation programs.• Experience in team management and handling four-member team of data scientists.• Provide project update to management including mitigation plan and contingency plan.

Listed skills include Artificial Intelligence, Oracle, Pl/Sql, Natural Language Processing, and 21 others.