Data Scientist/Software Engineer Resume

SUMMARY:

Accomplished IT background including knowledge,, and experience in engineering principles and systems design, database design and development, software analysis, implementation, and programming.
Skilled in application development, project implementation, troubleshooting, creative problem solving, quality control, scheduling/planning, tracking of results, communication, and documentation.
Proven s in application software development, as well as development for specific customized clients and system requirements. Sets goals, easily adapts to change, and role models accountability.
Collaborative leadership skills with demonstrated competence to work effectively with team members and managers, and execute a solution - oriented work style coupled with confident decision-making strategies.
Commendable communication skills to clearly and concisely articulate complex processes and technology to a diverse user community. Continually expanding knowledge base to take on challenging projects.
Stays abreast and maintains in-depth proficiency of new technology trends and updates in computers.
United States Citizen.

TECHNICAL SKILLS:

PROFESSIONAL EXPERIENCE:

Data Scientist/Software Engineer

Confidential

Responsibilities:

Web developer - function on an agile team updating skills tracking application.
Develop, experiment, and enhance Node/Angular/Typescript web applications and Python software in a cloud environment.
Make code corrections, identify bugs, and collaborate with team members on code sharing platform.
Upgrade prediction and reporting program from Python 2 to 3, and implement improvements such as code readability.
Extend application to include features such as session state and extra region.
Utilize pandas, matplotlib, and bokeh for reporting and data charting, as well as IBM Cloud, to enrich application.
Machine Learning Engineer - implement and design models in teh area of classification and regression.
Use variety of ML algorithms and analytics to produce insights into data and support decisions.
Provide mainframe data entry and analysis services, and call center services in support of NYS DOL’s unemployment insurance for workers impacted by teh COVID-19 pandemic, including DOL’s Pandemic Unemployment Assistance program for workers not ordinarily eligible for unemployment benefits, according to teh federal Coronavirus Aid, Relief, and Economic Security (CARES) Act.
Serve as a telephone agent with access to teh NYS DOL’s contact center and corresponding system(s) of record technologies to answer, diagnose, and resolve or properly transfer.
Quickly adapt to any new procedures or policies implemented. Complete required .
Develop subject matter expertise in teh State’s process and applications.
Provide coordination of scheduling execution of individual and team activities.
Data Scientist on C3/Shell Project - CARMA project (Corrosion Advanced Risk Modeling and Analytics.
Design and develop Tensorflow Keras and XGBoost machine learning models to predict corrosion rates for pipes based on past wall thicknesses.
Improve mean squared error and mean absolute error metrics of models.
Implement feature engineering and extraction techniques. Work with other Data Scientists to develop machine learning pipelines using C3 type system.
Data Scientist on Newmont systems - Material Criticality Cleansing and Classification.
Work with key stakeholders with access and identifying relevant data, model, and requirements.
Work with Google Cloud Product and BigQuery to query, cleanse, manipulate, concatenate, and upload data to Sharepoint.
Develop more than four data models taking into consideration stakeholders. Help to find relationships between equipment and material criticality, physical inventory criticality, plant, item, asset manufacturer, maintenance strategy, debit credit indicator, planner group, bill of material, and BOM category.

Associate Integration Specialist

Confidential

Responsibilities:

Performed as integration developer on teh team with data responsibilities.
Conducted software troubleshooting, analysis, and problem resolution.
Used Informatica PowerCenter, and Microsoft SSIS for ETL data transformations.
Utilized programming languages and environments such as C#, Visual Basic, .NET, Java, SQL, and ServiceNow.
Worked with team members on solving problems.

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