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amanpreet kaur

Senior Data Engineer @ data.ai | Google GHC19 Scholar | Anita Borg GHC18 Scholar

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About

Amanpreet Kaur is a Senior Data Engineer at data.ai and a Google GHC19 and Anita Borg GHC18 Scholar. She is currently seeking full-time job opportunities as a software engineer or data scientist starting in Summer 2019. Amanpreet has a degree in Information Systems from San Diego State University and her graduate work is focused on data analytics and Natural Language Processing. Amanpreet possesses a strong understanding of algorithm, data structure, and object-oriented programming. She has worked in the data domain for nearly five years as a Software Engineer before joining graduate school. Amanpreet is proficient in Python, R, SQL, Shell Script, and has experience working with databases such as MySQL, Oracle DB, Cassandra, and SQL Server. She is also familiar with web frameworks like React, HTML, and JavaScript. Amanpreet has experience working with various data engineering tools such as Amazon AWS, GCP, BigQuery, Spark, Hadoop, Kafka, and Linux. Her data science skills include Machine Learning, Natural Language Processing (NLP), Statistical Analysis, Scikit-learn, TensorFlow, Pandas, Jupyter, and Zeppelin. During her previous work experience as a Data Engineer Fellow at Insight Data Science, Amanpreet designed and implemented a batch processing data pipeline to process 1TB Reddit dataset using Spark. She also built a data lake on AWS S3 to manage data and used Airflow to manage the workflow and schedule the jobs. At San Diego State University, Amanpreet worked as a Graduate Assistant in the College of Business and collected data from Guidestar database of the credit union for finding out the determinants of Credit Union CEO Compensation. Amanpreet's educational background includes a Master's degree in Management Information Systems from San Diego State University, where she will be graduating in December 2019, and a Bachelor of Engineering in Electronics Engineering from the University of Pune. Amanpreet's tech stack includes Data Engineering, AI, SQL, NLP, AWS, Spark, Data Scientist, Jupyter, Software Engineer, Scikit, Python, Javascript, ML, Research Scientist, Tensorflow, Pandas, MySQL, Cassandra, Hadoop, Kafka, Spring, GCP, Web, Apache Airflow, and Elastic Search. She has 7.69 years of relevant experience.

Education Overview

san diego state university

university of pune

Companies Overview

data.ai

insight data science

san diego state university

anita borg institute for women and technology

doctible

women who code

infosys

amdocs

quicsolv

Experience Overview

8.6 Years

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Experience

Senior Data Engineer

data.ai | San Francisco Bay Area

2019 - Present

Data Engineer Fellow

insight data science | San Francisco Bay Area

2019 - 2019

Graduate Assistant (College of Business)

san diego state university | Greater San Diego Area

2018 - 2019

GHC Student Scholar

anita borg institute for women and technology | Houston, Texas Area

2018 - 2018

Data Science Intern

doctible | San Diego, California

2018 - 2018

Graduate Research Assistant (Dept of Geography)

san diego state university | Greater San Diego Area

2018 - 2018

Lead

women who code | Greater San Diego Area

2018 - 2019

Graduate Assistant (Wells Fargo Financial Markets Lab)

san diego state university | Greater San Diego Area

2017 - 2019

Software Engineer

infosys | Pune, Maharashtra, India

2016 - 2017

Software Engineer

amdocs | Pune Area, India

2014 - 2016

Associate Software Engineer

quicsolv | Pune Area, India

2013 - 2014

Skills

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Adobe Analytics

Agile Methodologies

Airflow

Algorithms

Amazon S3

amazon web services

Amazon Web Services (AWS)

analytics

Apache Airflow

Apache Kafka

Apache Spark

API Development

Artificial Intelligence (AI)

Big Data

Business Intelligence

Cassandra

Cloud Computing

Data Analysis

Data Analytics

Data Engineering

Data Modeling

Data Structures

Data Visualization

Data Warehousing

Databases

ElasticSearch

google cloud platform

Google Cloud Platform (GCP)

Hadoop

HTML

html

ISTQB Certified

Java

Javascript

Jupyter

Kafka

Linux

linux

Machine Learning

Machine Learning (ML)

Market Intelligence

Microsoft Excel

Multivariate Statistics

MySQL

natural language processing

Natural Language Processing (NLP)

NoSQL

OOP

Pandas

Pandas (Software)

PL/SQL

Predictive Analytics

Predictive Modeling

Python

Python (Programming Language)

R

ReactJS

Requirements Analysis

Research Scientist

REST API

SAN

Scikit

scikit learn

Scikit-Learn

Selenium Grid

Selenium WebDriver

Software Engineer

Spring

SQL

sql server

Statistical Data Analysis

Statistics

Tableau

TensorFlow

Tensorflow

Web

Web Analytics

Contact Details

Email (Verified)

apkXXXXXXXXXXXXXXXom

Mobile Number

469XXXXX49

Education

san diego state university

Master's degree

2017 - 2019

university of pune

Bachelor of Engineering - BE

2008 - 2012

Frequently asked questions

What company does amanpreet kaur work for?

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amanpreet kaur works for data.ai

What is amanpreet kaur role in his workplace?

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amanpreet kaur's role in his workplace is Senior Data Engineer

What is amanpreet kaur's tenure in his workplace?

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amanpreet kaur's tenure in his workplace is 5.17 years

What is amanpreet kaur's total experience?

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amanpreet kaur's total experience is 8.58 years

What is amanpreet kaur's LinkedIn profile?

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amanpreet kaur's LinkedIn profile can be found here

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amanpreet kaur's email address is apkXXXXXXXXXXXXXXXom. Unlock here

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amanpreet kaur's phone number is 469XXXXX49. Unlock here

What schools did amanpreet kaur attend?

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amanpreet kaur has attended san diego state university, university of pune

What companies has amanpreet kaur worked with?

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amanpreet kaur has worked with data.ai, insight data science, san diego state university, anita borg institute for women and technology, doctible, san diego state university, women who code, san diego state university, infosys, amdocs, quicsolv

What are some of amanpreet kaur's skills?

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amanpreet kaur has skills in Adobe Analytics, Agile Methodologies, Airflow, Algorithms, Amazon S3, amazon web services and more.

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