Amanpreet Kaur Email & Phone Number
@appannie.com
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Who is Amanpreet Kaur? Overview
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Amanpreet Kaur is listed as Data Engineer @ Airtable | Google GHC19 Scholar | Anita Borg GHC18 Scholar at Airtable, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at appannie.com and a matched LinkedIn profile for Amanpreet Kaur.
Amanpreet Kaur previously worked as Software Engineer, Data at Airtable and Senior Data Engineer at Data.Ai. Amanpreet Kaur holds Master'S Degree, Management Information Systems from San Diego State University.
Email format at Airtable
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AeroLeads found 1 current-domain work email signal for Amanpreet Kaur. Compare company email patterns before reaching out.
About Amanpreet Kaur
Amanpreet Kaur is a Data Engineer @ Airtable | Google GHC19 Scholar | Anita Borg GHC18 Scholar at Airtable. They possess expertise in python, databases, machine learning, sql, java and 42 more skills. Colleagues describe them as "I had the pleasure of working with Amanpreet during her Data Science internship at Doctible. We had worked together on a fast-paced timeline to implement and analyze a large, randomized controlled trial of one of our core products - a patient feedback tool. Not only did Amanpreet complete the project before the deadline, she was (1) enthusiastic about gaining the domain knowledge behind our product, and (2) quickly learned a statistical technique that she was previously unfamiliar with (difference-in-differences regression) to deliver causal inferences. Amanpreet would be an excellent hire for any data or product team. She understands the fundamentals of statistical analysis, leverages cutting edge technologies to deliver meaningful insights, and aligns with the business goals and requirements of teams. I would love to work with her again!"
Listed skills include Python, Databases, Machine Learning, Sql, and 43 others.
Amanpreet Kaur's current company
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Amanpreet Kaur work experience
A career timeline built from the work history available for this profile.
Senior Data Engineer
App Annie is the industry leader in app store analytics and market intelligence for the global app economy.
Data Engineer Fellow
• Designed and implemented a batch processing data pipeline to process 1TB Reddit dataset using Spark• Identified tags for each subreddit and filtered posts for each tag by indexing the data on Elasticsearch• Built a data lake on AWS S3 to manage data, used Airflow to manage the workflow and schedule the jobs
Lead
Women Who Code is a not-for-profit organization that helps to promote women in Technology. The organization is now in over 50 cities worldwide and provide opportunities for women to share knowledge and learn from each other. The group organizes meetups in each city which range from panelists discussions to technical workshops.I am part of the leadership team for Women Who Code San Diego network, organizing events for Women in tech.The goal is to provide a learning environment for women in tech and help them grow in their careers and grow their technical skills as well as other skills.
Graduate Assistant (College Of Business)
• Collecting data from Guidestar database of the credit union for finding out the determinants of Credit Union CEO Compensation
Graduate Assistant (Wells Fargo Financial Markets Lab)
• Supervising Assistant and Lab in charge of Wells Fargo Financial Market Lab, SDSU. • Manages lab operations, such as time, hours assignment to other lab assistants in the lab.• Educate students on using Bloomberg Financial Terminals for Bloomberg market concepts certification and provide consulting support to students, faculty, and staff.
Graduate Research Assistant (Dept Of Geography)
• Worked with Center for Human Dynamics in the Mobile Age, Geography Department, San Diego State University in setting up a database to manage a large dataset to analyze and visualize aggressive driving spatiotemporal patterns on web-based tools.• Identifying the suitability of implementing NoSQL document-oriented database vs RDBMS by comparing the performance on spatiotemporal queries.
Ghc Student Scholar
I was awarded a student scholarship from the Anita Borg Institute of Women and Technology to attend the Grace Hopper Celebration in Houston, Texas from September 25-28, 2018. I was one of 850 scholars chosen from a pool of 9517 applicants from around the world.
Data Science Intern
• Built an end-to-end data pipeline to perform topic modeling and sentiment analysis on patient reviews.• Processed >1M reviews on AWS EC2 using Spacy and NLTK Python libraries. Results were stored on PostgreSQL and made accessible to front-end team via a RESTful API built on Flask.• Implemented A/B testing on patient feedback pipeline that improved review rate by 15%
Software Engineer
• Implemented data pipeline to identify impact of new product features and detect potential customer churn• Automated evaluation of email-based marketing campaigns analyzing the click-through and conversion rates• Reduced time for generating associated reports by 1 business day
Software Engineer
• Managed data pipeline for generating monthly user billings• Performed bug fixes, feature enhancements, end to end testing and data quality checks• Reduced batch jobs’ runtime by 10%, by identifying slow jobs and removing redundant job steps
Associate Software Engineer
• Developed automation scripts on Selenium using Java for performing functional and regression testing• Involved in creating and updating data tables and views, worked with stored procedures and triggers• Worked on writing test plans, test cases, test procedures and test scripts from requirements and use-cases• Automated environment health check; saved USD 55000 and 800-man hours every quarter for client
Colleagues at Airtable
Other employees you can reach at airtable.com. View company contacts →
Leah Ackerman
Colleague at AirtableCharleston, South Carolina Metropolitan Area, United States
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LS
Lindsay Selbak
Colleague at AirtableLos Angeles Metropolitan Area, United States
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MR
Micah Roberson
Colleague at AirtableSan Francisco, California, United States
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DE
Dorbu Eli Gabriel
Colleague at AirtableTamale, Northern Region, Ghana
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JK
Jonathan Katz
Colleague at AirtableLos Angeles, California, United States
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NW
Nelson Wang
Colleague at AirtableLos Angeles, California, United States
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AP
Anthony Parado
Colleague at AirtablePune, Maharashtra, India
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RC
Ross Collins
Colleague at AirtableDallas-Fort Worth Metroplex, United States
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SS
Sara Sarafa
Colleague at AirtableKalispell, Montana, United States
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JW
Johari Wiggins
Colleague at AirtableSan Francisco, California, United States
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Amanpreet Kaur education
Master'S Degree, Management Information Systems
Bachelor Of Engineering - Be, Electronics Engineering
Frequently asked questions about Amanpreet Kaur
Quick answers generated from the profile data available on this page.
What company does Amanpreet Kaur work for?
Amanpreet Kaur works for Airtable.
What is Amanpreet Kaur's role at Airtable?
Amanpreet Kaur is listed as Data Engineer @ Airtable | Google GHC19 Scholar | Anita Borg GHC18 Scholar at Airtable.
What is Amanpreet Kaur's email address?
AeroLeads has found 1 work email signal at @appannie.com for Amanpreet Kaur at Airtable.
Where is Amanpreet Kaur based?
Amanpreet Kaur is based in San Francisco Bay Area, United States while working with Airtable.
What companies has Amanpreet Kaur worked for?
Amanpreet Kaur has worked for Airtable, Data.Ai, Insight Data Science, Women Who Code, and San Diego State University.
Who are Amanpreet Kaur's colleagues at Airtable?
Amanpreet Kaur's colleagues at Airtable include Leah Ackerman, Lindsay Selbak, Micah Roberson, Dorbu Eli Gabriel, and Jonathan Katz.
How can I contact Amanpreet Kaur?
You can use AeroLeads to view verified contact signals for Amanpreet Kaur at Airtable, including work email, phone, and LinkedIn data when available.
What schools did Amanpreet Kaur attend?
Amanpreet Kaur holds Master'S Degree, Management Information Systems from San Diego State University.
What skills is Amanpreet Kaur known for?
Amanpreet Kaur is listed with skills including Python, Databases, Machine Learning, Sql, Java, Requirements Analysis, Big Data, and Amazon Web Services.
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