Mehvish Saleem

Mehvish Saleem has a strong background in data science and software engineering. Mehvish is currently working as a Data Scientist at Doximity since December 2022. Prior to this, they worked as a Student Mentor at Great Learning from March 2022.

From 2019 to November 2022, Mehvish worked at Scotiabank as a Senior Data Scientist. In this role, they were responsible for building end-to-end pipelines on Google Cloud Platform (GCP) to tackle fraud. Mehvish'sday-to-day activities included feature engineering, data cleaning, data analysis, and model development using Python and Jupyter Notebooks. Mehvish also built real-time dashboards using GCP Data Studio for performance and data quality monitoring and coordinated with multiple teams for stakeholder engagement.

Before joining Scotiabank, Mehvish gained experience as a Teacher Assistant at Simon Fraser University from January to May 2019. Mehvish also worked as a Data Scientist Intern at Scotiabank from May 2018 to December 2018, where they focused on developing a machine learning model for detecting fraud in online transactions. Mehvish analyzed raw server logs, extracted features based on users' behavioral patterns using PySpark, and contributed to the Artificial Intelligence and Machine Learning (AIML) team.

In addition, Mehvish worked as a Research Assistant at Simon Fraser University from January to April 2018. Mehvish'sresponsibilities included scraping and pre-processing raw news articles' data for building a model for fake news detection using Python. Mehvish also built a user interface using Flask for a toxicity classification model.

Earlier in their career, Mehvish worked as a Software Engineer at Arbisoft from February to August 2017, where they built web crawlers for scraping and parsing data from e-commerce websites. Mehvish also conducted code reviews and contributed to data verification and end-to-end testing.

Furthermore, Mehvish worked as a Software Engineer at i2c Inc. from July 2015 to August 2016. Mehvish wrote ETL services in Java, developed and deployed transactional and summary reports using Informix and MySQL databases, and enhanced an internal reporting tool.

Lastly, Mehvish completed an internship at Multilynx in July and August 2014, where they compared and evaluated different PHP frameworks and presented their findings to the team lead.

Overall, Mehvish Saleem has a diverse work experience in data science, machine learning, software engineering, and research. Mehvish has demonstrated expertise in building pipelines, analyzing data, developing models, and coordinating with multiple teams.

Mehvish Saleem completed their Bachelor's degree in Computer Science from the National University of Computer and Emerging Sciences from 2011 to 2015. Later, they pursued a Professional Master's in Big Data in Computer Science from Simon Fraser University from 2017 to 2019.