About vijily bahuleyan:
I have 26 years of working experience in IT industry. During this period, I worked in various roles and capacities; Data Scientist, Data Analyst, Application Architect/Designer, Technical Team lead, Project Planner and Scheduler, Business Analyst, System Analyst, Web Usability Designer/Analyst and software engineer. Experiences molded me as a strong team player. I propose new ideas in applying AI to business process and operation and create business value to the organization. I have strong drive to learn new technology, continuously working to improve my knowledge and apply it on job to produce the greatest and best quality of work.
I have extensive experience in predictive and prescriptive analytics for real world problems using machine learning and deep learning algorithms. I created AI models for supervised learning, unsupervised learning (clustering), Regression and Reinforcement Learning algorithms. Worked in big data platform like AWS machine learning, Google machine learning, Cloudera and Hortonworks. Worked in different AI Tools such as Domino Lab, Data Robot, AWS Sagemaker and Google Colab. Following tasks are performed in the AI work:
1. Extract data from different data sources, combine and transform the data and load the final data into a repository
2. Data exploration using visualization tool and descriptive statistics
3. Perform Model Experiments
3. Feature extraction or reduction from data
4. Build AI models using Machine learning, Deep Learning and Reinforcement Algorithms
5. Hyper parameter tuning of the model
6. Interpret the results of AI models and provide reasons for the predictions with visualization
8. Build, deploy and monitor model at production environment in cloud and non-cloud platforms with CI/CD capabilities
9. Automate the various tasks in data processing like data collection, data wrangling, load into repository using data engineering pipeline
10. Automate the pre-processing of data and model training using pipelines
11. Automate the prediction process (in the case of batch processing) using pipelines
10. Present the work done to the stakeholders, get feedback and improve the model with the suggestions received
11. Build feature store with data versioning
12. Build model registry with model versioning
13. Store the artifact and model performance metrics
14. Monitor model performance in production
15. Work with Stakeholders to collect requirements and assist Product Owners to convert those requirements into EPICS and User Stories. Plan the work with Scrum Master and other scrum team members
Major awards:
- Won the 3rd place in the AI grand challenge conducted by Northrop Grumman (NG) at organizational level.
- Selected as Finalist for 2021 President's Excellence Award at NG
- Won the Best Project award in Quality Symposium at NG
I have a PhD in ocean structural engineering from the topmost school, Indian Institute of Technology, in India. I have a MBA degree from Johns Hopkins University. I have certification for Data Science, Apache Spark and Deep Learning with TensorFlow. Currently following a professional AI certification from Stanford University.
I am attaching my resume for your review and kind consideration. I am looking forward to meeting with you at your earliest convenience and discuss this career opportunity further. Thank you for your consideration.
Experience
- 26 years of extensive working experience in IT industry
- Worked in various roles: Data Scientist, Application Architect/Designer, Data Analyst, Technical supervisor, Project Planner and Scheduler, System Analyst, and Web Usability Designer/Analyst
- Experience and expertise in following technical areas
- Extract from different data sources, combine and transform the data and load the final data into a repository
- Predictive analytics using machine learning and deep learning algorithms
- Data visualization using Tableau and matplotlib
- Experience in Hadoop technology such as Map Reduce, Hadoop Distributed File system, Hive, Pig and HBase
- Experience in Apache Spark technology such as Spark RDD, Streaming, MLib, Spark SQL, GraphX
- Experience in Machine Learning using Python
- Experience in Deep learning technology using Python, Tensorflow, Keras and Pytorch
- Experience in Reinforcement Learning
- Experience in Graph Node embedding, Graph Analytics, Graph Neural Network Algorithms and knowledge graph analytics.
- Experience in Text processing using natural language processing (NLP) libraries.
- Experience in Text classification, text similarity, text summarization, topic modelling and semantic analysis
- Experience in Image Classification and object detection using Convolution Neural Network (CNN)
- Time series forecasting
- Experience in MLOps Technology to build, deploy code in production environment and monitor the model using tools such as Kedro, MLFlow, Jenkins, Docker, Open Shift Container (OCP), Nexus, Prometheus and Grafana
- Experience in working with AWS platform and framework: EC2 instance, S3 Bucket, EMR, Sagemaker
- B2B,C2B E-commerce website design and development
- Experience in developing workflow and rule engine-based application
- Experience in design of system and the interaction between heterogeneous systems
- Expertise in developing modeling diagrams to communicate software design to stakeholders
- Experience in building frontend and backend applications in the functional areas: Ordering, billing, investment management and Airline reservation
- Measure, Analyze and create report of system performance and business metrics
- Excellent inter-personal, analytical, logical, communication and leadership skills
- Developed an EHR web-based application
Education
- MBA from Johns Hopkins University - 2004 to 2006
- PhD from IIT Madras - 1994 to 1997
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