Senior Data Scientist Resume MA - Hire IT People

SUMMARY:

Overall 15 years of experience as business analytics/data Science professional in predictive analytics and project management across aviation, logistics & transportation and healthcare industries.
Analytics and business Intelligence leader with a strategic focus on providing data - driven insights and end-to-end solutions to business problems.
Proven experience in preparing and presenting performance dashboards to top level executives of organization
Proven experience in leading cross functional teams to lead business improvement/IT projects at Confidential group to improve productivity and service levels.
Led business support team of 6 Industrial engineers at Confidential group and was responsible for annual planning and budgeting for ground handling division.
Business analytics professional who can not only talk to business leaders to understand their requirement but also can handle big data and develop predictive models in Python and R.
Machine learning expert with experience in developing predictive models to solve business problems with 3 years of experience in hands on coding and developing predictive models..
Proficient in using Python, R, SQL, Hadoop ecosystem for extracting data and building predictive models.
Very good knowledge in various statistical methods like time series analysis, statistical testing, multivariate analysis.
Quick learner of various new technical concepts in machine learning/deep learning field.

TECHNICAL SKILLS:

Machine Learning: Linear/Logistic /Quantile Regression, Classification and Regression Trees (CART), Support Vector Machine, Random Forest, Gradient Boosting Machine (GBM), XGBoost

Statistics: Time Series (ARIMA) analysis, Principal Component Analysis(PCA)

Deep Learning: TensorFlow, Keras

Programming & Software: Python, R, h2o, SAS Enterprise Guide

Big Data skills: , Hadoop, Pig, Hive, Talend

Data visualization: Tableau, d3.js

PROFESSIONAL EXPERIENCE:

Confidential, MA

Senior Data Scientist

Responsibilities:

Led and architected the entire ETL, data pipelines and machine learning model framework consisting of quantile regression and random forest.
Presented results to vice president and above levels.
Liaised with data engineering team to productionalize the model.
Led the efforts to test ETL, data pipeline and Model testing/evaluation pipeline and productionalized 4 ML models so far.

Tools: used - R, Hive, h2o, git lab (version control)

Confidential, FL

Manager Operations Research & Data Mining

Responsibilities:

To identify whether whistle post exists in an image or not using deep learning (object identification).
To predict whether a locomotive requires wheel machining or not, so that it can be directed to a workshop which has wheel machining facilities.
To predict whether a locomotive has mechanical problem from wayside sensor data.
To predict number of wooden ties deteriorated across Confidential network in United States.

Tool: used - Python (Pandas,TensorFlow, opencv), AWS, R (Caret,ctree, randomForest, XGBoost), SQL

Confidential, CA

Data Scientist (Intern)

Responsibilities:

To predict number of Confidential viewers during the first week after a video upload.
To provide forecast for 8th,9th and 10th day using number of viewers for first week

Confidential, CA

Data Scientist (Intern)

Responsibilities:

To identify similar part descriptions across 5 M parts in oil & rig designs
To identify best payment terms for various Confidential businesses.

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Senior Data Scientist Resume

MA

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