Hi, I'm Deniz!
Software Engineer and Vice President of Women in Tech at Salesforce
I am currently a software engineer and Vice President of Women in Tech at Salesforce. I am curious about innovative products, scalable design, databases, and AI.
My love for the social sciences and data has inspired me to pursue designing, analyzing, and building products that enhance life and understand social phenomena through data.
Resume
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Work Experience:
September 2021 - Present
I currently work as a Software Engineer at Salesforce, where I work on improving search intelligence at Commerce Search product. I work on multiple search features in the search indexing, querying, and configuring pipeline. I've also worked on the brand new Subscription Management feature, which was one of the most profit-impacting product at the company, for Revenue Cloud until its launch.
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I currently work as a Software Engineer at Salesforce, where I work on improving search intelligence at Commerce Search product. I work on multiple search features in the search indexing, querying, and configuring pipeline. I've also worked on the brand new Subscription Management feature, which was one of the most profit-impacting product at the company, for Revenue Cloud until its launch.
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February 2020 - September 2023
I published research on Fuzzy Matching Problems with Predicate Constraints using Graph Theory to improve both efficiency and search outcome of matching in data science problems while working with ChiData group. ChiData Research encompasses areas of databases systems, data integration, data science, machine learning for systems and systems for machine learning.
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I published research on Fuzzy Matching Problems with Predicate Constraints using Graph Theory to improve both efficiency and search outcome of matching in data science problems while working with ChiData group. ChiData Research encompasses areas of databases systems, data integration, data science, machine learning for systems and systems for machine learning.
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June 2020 - August 2020
I worked as a Software Engineer Intern on B2B Commerce Search on the Commerce Cloud at Salesforce. During my time at Salesforce, I implemented the Search Sorting Rules (A-Z, Best Match, etc.) feature end-to-end for the Salesforce Commerce Search product.
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I worked as a Software Engineer Intern on B2B Commerce Search on the Commerce Cloud at Salesforce. During my time at Salesforce, I implemented the Search Sorting Rules (A-Z, Best Match, etc.) feature end-to-end for the Salesforce Commerce Search product.
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June 2019 - August 2019
I worked as a Software Engineer Intern at Braintree Payments (PayPal Division) in the Scaling Components team. I mainly focused on improving the tooling around Kafka to make it safer and easier to interact with Apache Kafka for the team's purposes.
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I worked as a Software Engineer Intern at Braintree Payments (PayPal Division) in the Scaling Components team. I mainly focused on improving the tooling around Kafka to make it safer and easier to interact with Apache Kafka for the team's purposes.
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October 2018 - June 2019
During 2018-2019 school year, I worked as a Data Science Researcher at Becker Friedman Research Institute for Research in Economics, a collaborative, cross-disciplinary center for research in economics at University of Chicago. I primarily produced analyses and insights for Dr. Alessandra Gonzalez's research on the Female Labor Force Participation in Saudi Arabia. The main project home is the Evidence for Policy Design department of Harvard University Kennedy School.
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During 2018-2019 school year, I worked as a Data Science Researcher at Becker Friedman Research Institute for Research in Economics, a collaborative, cross-disciplinary center for research in economics at University of Chicago. I primarily produced analyses and insights for Dr. Alessandra Gonzalez's research on the Female Labor Force Participation in Saudi Arabia. The main project home is the Evidence for Policy Design department of Harvard University Kennedy School.
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June 2018 - August 2018
During summer of 2018, I worked as a Teaching Assistant at Girls Who Code, a non-profit organization working to close the gender gap in technology and change the image of what a programmer looks like. I taught a class of 20 low-income minority female high school students, all of whom later placed into top colleges to study computer science, utilizing a project-based curriculum on foundational computer science at Walmart Labs to develop programming skills and soft skills.
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During summer of 2018, I worked as a Teaching Assistant at Girls Who Code, a non-profit organization working to close the gender gap in technology and change the image of what a programmer looks like. I taught a class of 20 low-income minority female high school students, all of whom later placed into top colleges to study computer science, utilizing a project-based curriculum on foundational computer science at Walmart Labs to develop programming skills and soft skills.
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Projects:
February 2020 - Present
Research on Predicate Constraint Problem Using Bipartite Matching
Predicate Constraint Matching Problem makes use of user defined constraints to make fuzzy matching better using the bipartite matching framework. Our research aims to explore problems around 1:1, 1:n, and n:k matching efficiently using a graph framework.
Technologies used: Git
Languages: Python
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Research on Predicate Constraint Problem Using Bipartite Matching
Predicate Constraint Matching Problem makes use of user defined constraints to make fuzzy matching better using the bipartite matching framework. Our research aims to explore problems around 1:1, 1:n, and n:k matching efficiently using a graph framework.
Technologies used: Git
Languages: Python
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June 2019 - August 2019
Developing Kafka Tooling for managing and monitoring Kafka data replications and topics
Kafka Tools are a set of CLI tools that are developed to interact with Apache Kafka more efficiently.
I designed and implemented a notification system infrastructure to alert all downstream dependents when a Kafka topic is misbehaving in a production environment using Capistrano task deployment system
Technologies used: Apache Kafka, Capistrano, Kubernetes, Docker, Git, AWS (Amazon EMR & S3), Jenkins, Linux
Languages: Ruby, Java, Python
Developing Kafka Tooling for managing and monitoring Kafka data replications and topics
Kafka Tools are a set of CLI tools that are developed to interact with Apache Kafka more efficiently.
I designed and implemented a notification system infrastructure to alert all downstream dependents when a Kafka topic is misbehaving in a production environment using Capistrano task deployment system
Technologies used: Apache Kafka, Capistrano, Kubernetes, Docker, Git, AWS (Amazon EMR & S3), Jenkins, Linux
Languages: Ruby, Java, Python
March 2019 - May 2019
Predicting Yelp Elite Status
Yelp Elite status is a way for Yelp to recognize people who are active in the Yelp community and role models on and off the site. There aren't explicit details on how to become an elite member, so this mystery made it worthy to develop a logistic regression model and a k-nearest-neighbors algorithm to see if accurate predictions could be made.
Technologies used: Git
Languages: R, Python(NumPy, Pandas, MRJob)
Predicting Yelp Elite Status
Yelp Elite status is a way for Yelp to recognize people who are active in the Yelp community and role models on and off the site. There aren't explicit details on how to become an elite member, so this mystery made it worthy to develop a logistic regression model and a k-nearest-neighbors algorithm to see if accurate predictions could be made.
Technologies used: Git
Languages: R, Python(NumPy, Pandas, MRJob)
September 2018
Spellcheck tool that runs on Redis servers
My team and I developed a Spellcheck tool that runs on Redis servers. We used a Redis Trie data structure written in C to efficiently spellcheck in an uploaded file in O(n) time.
We integrated the spellchecker tool to run on Redis servers to minimize latency and maximize performance via asynchronous replication
Technologies used: Git, Redis
Languages: Python, C
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Spellcheck tool that runs on Redis servers
My team and I developed a Spellcheck tool that runs on Redis servers. We used a Redis Trie data structure written in C to efficiently spellcheck in an uploaded file in O(n) time.
We integrated the spellchecker tool to run on Redis servers to minimize latency and maximize performance via asynchronous replication
Technologies used: Git, Redis
Languages: Python, C
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More:
September 2018 - Present
I'm an Executive Board Member of CompileHer, UChicago's student organization that seeks to engage middle school girls in hands-on activities in the field of computer science in an effort to close the technology gender gap.
I taught computer science concepts to middle school students and introduced them to the field of computer science
This year, I contributed to the design and planning for the Tech Capstone event, which encourages female middle school students to get involved with computer science and technology fields.
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I'm an Executive Board Member of CompileHer, UChicago's student organization that seeks to engage middle school girls in hands-on activities in the field of computer science in an effort to close the technology gender gap.
I taught computer science concepts to middle school students and introduced them to the field of computer science
This year, I contributed to the design and planning for the Tech Capstone event, which encourages female middle school students to get involved with computer science and technology fields.
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For more background about me, feel free to visit my resume, or contact me directly at
dturkcapar@gmail.com.