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Lead Machine Learning Engineer Resume

SUMMARY:

  • 11+ years of in IT experience as Lead Machine Learning Engineer/ Consultant in Data Science, Deep Learning, Natural Language Processing, Conversational AI, Time series, IoT, Edge computing, WCM and well versed in a scalable data platform
  • RASA experience on Conversational AI
  • Experience with recent NLP/text processing tools and pre trained language models like BERT,XLNET
  • On - device ML implementation experience in TensorFlow Lite for Android
  • Edge computing using AWS IoT Greengrass
  • Certified professional on Deep Learning Specialization from Coursera
  • Certified professional on Analyzing and Visualizing Data with Power BI
  • End-to-end experience with data: querying, aggregation, analysis, and visualization
  • Good knowledge on Reinforcement Learning
  • Experience with ElasticSearch, server and application logs
  • Drive performance improvements by analyzing and visualizing performance data
  • Excellent knowledge on Microsoft Office Application Suite, SharePoint Online, AZURE, Microsoft Dynamics CRM 2016 online
  • Ability to answer the organization's most pressing questions utilizing data science principles
  • SharePoint & web development experience in design, architecture and implementation
  • Took complete ownership of multiple releases as guiding, assigning tasks, helping team members and communicating project progress to Client.
  • Worked on all phases of the projects, Analysis & design, Proof of concepts, Implementation, testing, maintenance, production support and enhancement phase.
  • Excellent Problem Solving, Analytical, Algorithmic understanding,Communication and Interpersonal skills and a proven Team player with a good track record
  • Comfortable presenting to senior management, business stakeholders, and external partners
  • Strong interpersonal skills, ability to interact with people at all levels
  • Passion to learn and implement new skills
  • MCA (Master of Computer Applications) degree in Computer Science and related quantitative field that relies heavily on statistics and ML software
  • Experience with working in Agile/SCRUM software environments

TECHNICAL SKILLS:

Deep Learning: TensorFlow, Keras, PyTorch, Azure ML studio, AWS SageMaker

Packages: NLTK, OpenCV, NumPy, Scikit-learn, Pandas, Plotly, MatplotLib, StatsModels, Gensim, spaCY

Machine Learning: Regression, Na ve Bayes, Decision Tree, Random Forest, K-Means Clustering, K-Nearest Neighbors, SVM, XGBoost

Cloud: Office 365, Cloud Share and Amazon AWS, Azure

Programming: Python, R, Apache Spark.Net: ASP.Net, C#, Web API HTML 5, XML, JavaScript, JQuery, Handlebars, Knockout JS

Database: SQL Server, SQL Server Reporting Services (SSRS)

SharePoint: Microsoft SharePoint 2, MOSS and SharePoint Online. SharePoint Designer 2013, Visio 2016 & Office

IDE & Other Tools: Jupyter (IPython), Power BI, Tableau, Tortoise SVN, TFS,Bootstrap 3 framework

Other Skills: Neo4j REST API, JSON, CRM 2016 Online, Gunicorn, Flask

PROFESSIONAL EXPERIENCE:

Confidential

Lead Machine Learning Engineer

Responsibilities:

  • Analyze all use cases
  • Building NLU models, stories using RASA

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