Ramakant Sharma

About Ramakant Sharma

At Capgemini Engineering, our team is at the forefront of revolutionizing the mining…

Experience

1. Manager - Data & Applied Science Mlops Machine Learning

   Capgemini Engineering

   Apr 2022 — Present

   Working as a Manager (Data & Applied Science | MLOps) in Data Science & Analytics space at Capgemini Engineering - Research & Development, a company which creates and deliver business and technology solutions that fit your needs and drive the results.\\\\n\\\\nCurrently building a team of data scientists focused on solving the challenges in the mining industry and improving the utilization of the sites\\plants through better recommendations, designing ML ecosystem, content ranking, and understanding of complex user, admin, and creator dynamics in the groups.\\\\n\\\\n• Expertise in ML Model deployment to Cloud using AWS and Azure Cloud Services.\\\\n• Developed multiple ML models using various ML techniques like Simulated Annealing, Kernel Density Estimation, Current Utilization enhancement for various process variables of plants etc. for multiple projects in the mining sector.\\\\n\\\\nTechnical Skills:\\\\nR, Python, SAS (University Edition), Azure ML (SDK, Designer, Auto ML), SQL Server, MS Excel, VBA, R Shiny, Azure Data Storage Explorer (Blob), Azure Data Explorer (Kusto), Azure Data Bricks, Azure DevOps, Azure MLOPS, Power BI, Synapse, Scala, CiCd Pipelines, Real-Time End Point API, AWS Cloud, Lambda, S3, Farget, Cloud Watch, AWS Sagemaker Studio, API Documentation - Py doctor, Jira etc.\\\\n\\\\nMachine Learning Skills:\\\\nClassification, Linear & Logistic Regression, Decision Trees, Random Forests, Time Series Analytics, NLP, Text Analytics, Text Mining, Natural Language Generation, XG Boost, Statistical Modelling, Neural Networks (CNN, RNN), SGD, KNN, Clustering, KMeans, Segmentation, Naive Bayes, SVM, Deep Learning, Simulated Annealing, Kernel Density Estimation, etc.\\\\n \\\\n\\\\n \\\\n \\\\n\\\\n \\\\n