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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