Bijay Khanal

Lead Data Scientist @ Boeing

About

As an expert with Business Intelligence and Analytics tools, such as IBM Cognos Business Intelligence, IBM SPSS Modeler, R, JMP and Teradata; who has earned certificates in Business Intelligence and Big Data, in addition to a master’s degree in Predictive Analytics; I am able to deliver Business Intelligence and Analytics solutions by mining data, creating dashboards for visibility. In my career, I have worked in Marketing, Insurance, finance and manufacturing industries for international companies, both in lead roles and consultant roles. With analytics thinking, great people skills and a proven track record of using data to see market potential and business problem trends, I am seeking a cutting edge position with a forward-thinking company where I can utilize my skills to contribute to our combined success.

Country

United States

City

Greater Seattle Area

Industry

Aviation & Aerospace

Skill

Project Management, Leadership, Market Research, Key Performance Indicators, Quantitative Research, Customer Insight, ETL Tools, Consumer Behavior, Communication, PyTorch, Business Intelligence, Analytics, Data Mining, SQL, Cognos, SharePoint, Tableau, Hadoop, JMP, R

Experience

Lead Data Scientist

Boeing

2023-3 - Present · 3 yrs 7 mos

Renton, Washington, United States

BCA Supply Chain Fulfillment/ Transformation

Lead Data Scientist

Boeing

2018-2 - 2023-3 · 5 yrs 2 mos

Seattle, Washington

Business Intelligence Analyst

Boeing

2010-11 - 2018-2 · 7 yrs 4 mos

Greater Seattle Area

IBM Cognos Planning Developer

Assurant

2009-4 - 2010-8 · 1 yr 5 mos

Greater Milwaukee Area

Business Intelligence Consultant

Boeing

2007-6 - 2008-12 · 1 yr 7 mos

Greater Seattle Area

Education

Northwestern University

Predictive Analytics

Cornell University

Machine Learning

2020 - 2020

Cornell’s Machine Learning certificate program equips me to implement machine learning algorithms using Python and linear algebra. This program uses Python and the NumPy library for code exercises and projects. Projects will be completed using Jupyter Notebooks.