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| Desired Industry: Information Technology |
SpiderID: 84007 |
| Desired Job Location: Columbia, Illinois |
Date Posted: 4/8/2023 |
| Type of Position: Contractor |
Availability Date: |
| Desired Wage: |
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U.S. Work Authorization: Yes |
| Job Level: Executive (President, VP, CEO) |
Willing to Travel: Yes, 25-50% |
| Highest Degree Attained: Masters |
Willing to Relocate: Yes |
Objective:
▪ 13+ years of Data Science & Data Modeling experience with a proven track record of developing and implementing various models which have significantly improved business revenue and user experience.
▪ Lead the Data Science team, which is responsible for design, research and modelling of Recommendation systems, Review auto-classification and analysis, Review topic modeling, Image sentiment-analysis, Machine Learning applied to logistics optimization problems, Deep Learning models for image recognition and labelling.
▪ Experience developing computer vision algorithms and applications.
▪ Develop data-driven insights & solutions with advanced analytics (machine learning, deep learning, Ai and statistical models) to extract insights from large data sources.
▪ Experienced with machine learning & Deep Learning algorithms such as logistic regression, random forest, Ada Boost XGBoost, KNN, SVM, ANN, Deep learning for Computer Vision, RNN, LSTM, linear regression, lasso regression, ridge regression and k-means.
▪ Developed predictive models using Decision Tree, Random Forest, Naïve Bayes, Logistic Regression, Clustering, and Neural Networks.
▪ Developed NLP models for Topic Extraction, Sentiment Analysis/Search.
Experience:
▪ Work with NLTK library to NLP data processing and finding the patterns.
▪ Used Attention Models, Transformers -BERT for Topic Extraction, NER and Language translation.
▪ Experienced with Feature engineering, Feature selection and Time series models.
▪ Experiences with Dataiku & DataRobot.
▪ Model Deployment & Monitoring (MLOPS).
▪ Implemented CI/CD pipelines to deploy the models on AWS & GCP.
▪ Experiences in experimental design and setting up A/B tests.
▪ Designs and evaluate the results of controlled experiments to optimize elements of our offering; advise others with respect to their experimental designs.
▪ Expertise in predictive modeling using both supervised and unsupervised learning techniques.
Education:
● Master of Computer Application, Vinayaka Mission University, 2016
● AWS Certified Machine Learning – Specialty
● Power Bi Certified
● Python for Data Science Certified
● Microsoft Certified Technology Specialist: SQL Server
● Microsoft Certified Database Administrator: SQL Server
● ITIL V3 Foundation
Skills:
Technologies/Tools Machine Learning, Deep Learning, Machine/Computer Vision, Text Classification, Time Series, Natural Language Processing (NLP), Tensor flow, Theano, Keras, Python, SQL, Pyspark, Hugging face, fast.ai, CI/CD, AWS & GCP
ML/Data Analysis Techniques Data exploration, Feature Engineering, Regression, Classification, Hypothesis Testing, Neural Network, Feature Extraction, Text Mining, Statistical Analysis, Natural Language Processing, Boosting, Bagging, Forecasting, A/B Testing
Programming Languages Python, SQL, Pyspark
Cloud Platform Amazon AWS, GCP, Heroku, Microsoft Azure, Snowflake
Data Visualization Tableau, Matplotlib, Plotly, Seaborn, Powerbi
Statistical Methods t-test, Chi-squared and ANOVA testing, A/B Testing, Descriptive and Inferential
Statistics, Hypothesis testing
Databases Microsoft SQL Server, Oracle, Teradata, Netezza, Snowflake
Data Modelling Tools Erwin
Rest APIs Fastapi, Flask
Versioning MLFlow, Git
Additional Information:
▪ Model Deployment & Monitoring (MLOPS).
▪ Implemented CI/CD pipelines to deploy the models on AWS & GCP.
▪ Experiences in experimental design and setting up A/B tests.
▪ Designs and evaluate the results of controlled experiments to optimize elements of our offering; advise others with respect to their experimental designs.
▪ Expertise in predictive modeling using both supervised and unsupervised learning techniques.
▪ Hands on experience in different framework’s like Keras, TensorFlow.
▪ Highly skilled in using Tableau, PowerBI visualization tool for creating dashboards.
▪ Work closely with customer's, cross-functional teams, software developers, and business teams in an Agile work environment to drive data model implementations and algorithms into practice.
▪ Motivating and mentoring a team of data scientists to grow their skills and careers while engaging with them in Writing code, finding datasets, pulling knowledge together as a resource to bring team up-to the speed.
Candidate Contact Information:
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