Kelechi N. Email & Phone Number
Who is Kelechi N.? Overview
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Kelechi N. is listed as Business Intelligence Engineer at Amazon Lab126, a with 4913 employees, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Kelechi N..
Kelechi N. previously worked as Global Adoption Consultant Intern at Uc Berkeley Division Of Computing, Data Science, And Society and Tutor for Data Scholars at Uc Berkeley Division Of Computing, Data Science, And Society. Kelechi N. holds Master'S Of Information And Data Science - Mids from Uc Berkeley School Of Information.
Email format at Amazon Lab126
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About Kelechi N.
A UC Berkeley data science student who's not only passionate about the field but also about making that field more accessible to others.
Listed skills include Mathematics, Amazon Quicksight, Pandas, Scikit Learn, and 42 others.
Kelechi N.'s current company
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Kelechi N. work experience
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Global Adoption Consultant Intern
• Consulting and working with institutions looking to adopt data science programs across various platforms• Creating resources for instructors looking to adopt Data 8 at their own institutions• Documenting institutional progress and national data science initiatives• Co-hosting “Speaker Series” project, interviewing data science educators
Tutor For Data Scholars
Apple Women In Science And Engineering Mentorship (Awsem)
Nsf Iuse Undergraduate Student Advisory Board Member
• Served as outreach coordinator for the NSF IUSE Grant efforts to connect with Undergraduate programs, student organizations and Underrepresented Minority students on campus• Maintained overall professionalism and resource sharing related to Data Science programming at Cal
Fellow | Health + Tech Track
• Selected as 1 of under 50 fellows for the Fung Institute's Health + Technology track• Built, led, and worked effectively with interdisciplinary research and design teams• Identified wellness issues through community-based research • Created and tested prototype wellness interventions and technologies within the community through an iterative design process
Business Intelligence Engineer
• Gathered and synthesized data from a variety of sources to support Engineering and Partner Services• Built a dashboard using Amazon Quicksight to improve business and operational efficiency within the stakeholders’ teams• Saved the team an average of 20 working hours per month with the implementation of the dashboard
Style Specialist
Style Advisor
• Utilized strong interpersonal and communications skills to serve customers• Worked collaboratively in a team environment• Applied excellent communication skills and ability to establish rapport to close sales and meet targets
Cs Research Mentorship Program Scholar
• Accepted to a three month program that matches students with Google mentors and peers to support their pursuit of computer science research pathways
Nasa L'Space Mission Concept Academy
• Participated in a fast-paced 12-week mission concept academy to learn mission development skills from NASA scientists and engineers• Designed a rover to be used to help plan human exploration of Mars and presented it to NASA scientists• Led a team of administrators in planning the mission and writing a preliminary design review
Sales Associate
• Processing transactions both efficiently and quickly• Helping customers find what they need while also delivering great customer service
Nasa Community College Aerospace Scholar (Ncas)
Selected as one of the students to participate in an intensive 5 week online course, focused on NASA missions and values. After completing a report on how NASA can improve their habitat systems for future missions and receiving 100% in the course, I was chosen as one of the 500 students to participate in an onsite program at a NASA facility.At the NASA facility, I worked with a team to create a rover that was capable of identifying and collecting rocks and minerals, rescuing other rovers, and navigating the Mars terrain. This rover was then presented in front of a panel of NASA scientists and engineers.
Sales Advisor & Trainer
Worked as a sales advisor, selling clothing, completing transactions, and maintaining the sales floor. After a year, I was promoted to being a trainer. In that position, I would still complete all my other duties, but now I also trained new hires up to company standard.
Colleagues at Amazon Lab126
Other employees you can reach at lab126.com. View company contacts for 4913 employees →
Azert Yuiop
Colleague at Amazon Lab126Nanterre, Île-De-France, France
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Mark Mac Manus
Colleague at Amazon Lab126San Francisco, California, United States
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Jie Ying
Colleague at Amazon Lab126San Jose, California, United States
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Steven Connell
Colleague at Amazon Lab126Camarillo, California, United States
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Ghassan Mikhail
Colleague at Amazon Lab126Sunnyvale, California, United States
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Claire Tseng
Colleague at Amazon Lab126San Jose, California, United States
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Hengying Shan
Colleague at Amazon Lab126Sunnyvale, California, United States
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Mansi Vaid
Colleague at Amazon Lab126Delhi, India
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Shilpa Prem
Colleague at Amazon Lab126Seattle, Washington, United States
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Gowtham Deivasikamani
Colleague at Amazon Lab126Sunnyvale, California, United States
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Kelechi N. education
Master'S Of Information And Data Science - Mids
Bachelor Of Arts - Ba, Data Science
Associate Of Science - As, Mathematics
Frequently asked questions about Kelechi N.
Quick answers generated from the profile data available on this page.
What company does Kelechi N. work for?
Kelechi N. works for Amazon Lab126.
What is Kelechi N.'s role at Amazon Lab126?
Kelechi N. is listed as Business Intelligence Engineer at Amazon Lab126.
Where is Kelechi N. based?
Kelechi N. is based in San Francisco Bay Area, United States while working with Amazon Lab126.
What companies has Kelechi N. worked for?
Kelechi N. has worked for Amazon Lab126, Uc Berkeley Division Of Computing, Data Science, And Society, Apple, D-Lab, Uc Berkeley, and Fung Fellowship At Uc Berkeley.
Who are Kelechi N.'s colleagues at Amazon Lab126?
Kelechi N.'s colleagues at Amazon Lab126 include Azert Yuiop, Mark Mac Manus, Jie Ying, Steven Connell, and Ghassan Mikhail.
How can I contact Kelechi N.?
You can use AeroLeads to view verified contact signals for Kelechi N. at Amazon Lab126, including work email, phone, and LinkedIn data when available.
What schools did Kelechi N. attend?
Kelechi N. holds Master'S Of Information And Data Science - Mids from Uc Berkeley School Of Information.
What skills is Kelechi N. known for?
Kelechi N. is listed with skills including Mathematics, Amazon Quicksight, Pandas, Scikit Learn, Multivariable Calculus, Data Science, Data Engineering, and Regular Expressions.
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