160 lines
3.5 KiB
Markdown
160 lines
3.5 KiB
Markdown
+++
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date = "2017-05-03T10:30:52-04:00"
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title = "Resume"
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+++
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Education
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---------
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* **Bachelor of Science - Computer Science**, {{< date "2018" >}}
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<br>*Ontario Tech University, Oshawa, ON*
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* **Master of Science - Computer Science**,
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{{< date "Expected Completion 2020" >}}
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<br>*Ontario Tech University, Oshawa, ON*
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Work Experience
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--------------------
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* **Teaching Assistant**
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*University of Ontario Institute of Technology (UOIT), Oshawa, ON*
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<sup>{{< date "Sept. 2017 - May 2020" >}}</sup>
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- Lead classes of 20-25 junior and senior level undergraduate
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students on in-class activities
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- Corrected student work and provided feedback for improvement
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- Courses:
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{{< shortlist >}}
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Mobile Devices
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- Programing Workshop
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- System Development and Integration
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- Web Development
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- Interactive Media
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- Compilers
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{{< /shortlist >}}
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* **Graduate Research Assistant**
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*University of Ontario Institute of Technology (UOIT), Oshawa, ON*
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<sup>{{< date "Aug. 2018 - Present" >}}</sup>
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- Lead the research on text mining and natural language processing
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queries in relational databases
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- Topics and Technologies used: PostgreSQL, topic modeling, NLP,
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Python, web services
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Software Development Experience
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--------------
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* **Programing**
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{{< shortlist >}}
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Python
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- Java
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- Clojure and ClojureScript
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- C/C++
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- Kotlin
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- Scala
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{{< /shortlist >}}
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* **Data Science**
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{{< shortlist >}}
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Numpy
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- Scipy
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- NLTK
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- Gensim
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- Pandas
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- Ipython Notebooks
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{{< /shortlist >}}
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* **Database**
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{{< shortlist >}}
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PostgreSQL
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- MongoDB
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{{< /shortlist >}}
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* **Web Serices**
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{{< shortlist >}}
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Flask
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- NodeJS
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{{< /shortlist >}}
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* **Web Frontend**
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{{< shortlist >}}
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HTML
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- CSS
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- ClojureScript
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- JavaScript
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- Reagent
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- React
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- JQuery
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{{< /shortlist >}}
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* **ML/AI**
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{{< shortlist >}}
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Tensorflow
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- scikit-learn
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- word2vec
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- fasttext
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{{< /shortlist >}}
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Project Experience
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------------------
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* NLP Relational Queries And Its Applications - *Thesis Project*
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- Developed LDA extension to PostgreSQL to allow Topic Modeling of
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text columns inside of SQL
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- Created a web front end to visualize the change in topics over time for
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academic authors and venues
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- Published 2020 IEEE International Conference on Information Reuse
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and Integration for Data Science
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Technologies:
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{{< shortlist >}}
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Python
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- SQL/PostgreSQL
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- Flask
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- HTML
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- CSS
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- D3.js
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{{< /shortlist >}}
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* Scalable Analysis of Open Data Graphs
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- Performed analysis of similarities between documents through
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Canada’s Open Data portal
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- Provided insight into organization and connectedness of Canada’s
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Open Data
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- Scalable and Distributed code base to allow for large dataset and
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scaling with time
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- Published and Presented at 2019 IEEE International Conference on
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Information Reuse and Integration for Data Science
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Technologies:
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{{< shortlist >}}
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Python
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- SQL/PostgreSQL
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- Apache
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- Spark/PySpark
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- Matplotlib
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- GCP Storage
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- GCP Dataproc
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{{< /shortlist >}}
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* Canadian Political Twitter Analysis
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- Built tools to track and analyse the conversation surrounding
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Canadian politics on Twitter
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- Tracked key figures and CDNPoli hashtag and predicted standings in
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2019 election
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Technologies:
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{{< shortlist >}}
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Python
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- Tensorflow
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- SQL/PostgreSQL
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- Matplotlib
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{{< /shortlist >}}
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Hobbies
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-------
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* Free and open source software enthusiast
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* Maintain a home media and storage server for family running the latest
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Ubuntu LTS
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* Build computers for others, source and consult on components required,
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install and teach them to install themselves
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