Mehvish Saleem Email & Phone Number

• Involved in building end to end pipelines on Google Cloud Platform (GCP) to tackle different types of fraud.Day to day activities include, but not limited to:
• Feature Engineering and data cleaning in Google BigQuery
• Data analysis and model development using Python and Jupyter Notebooks.
• Real-time dashboard building using GCP Data Studio for performance and data quality monitoring on an ongoing basis
• Multi-team coordination for stakeholder engagement and cross domain knowledge exchange

Toronto, Ontario, Canada

• Worked on a project for the Artificial Intelligence and Machine Learning (AIML) team, focused on developing a Machine Learning model for detecting fraud in online transactions.
• Analyzed raw server logs for potential fraud detection features. Extracted features based on users’ behavioral patterns using PySpark.
• Dockerized modules for portable deployment on multiple platforms (Azure, DC/OS)
• Responsible for parameter tuning to optimize model performance and reducing the impact of imbalanced data.
• Performed detailed Exploratory Data Analysis (EDA) and created real time dashboards for data visualization using Matplotlib, Seaborn and Apache Superset.

Burnaby, British Columbia, Canada

Scraped and pre-processed raw news articles’ data for building a model for FakeNews detection using Python. Built a UI using Flask for a toxicity classification model that allowed a user to identify toxic portions of news articles and get a toxicity score for any sentence.

Lahore, Pakistan

• Built web crawlers for scraping and parsing data from e-commerce websites using Scrapy.
• Conducted code reviews within four months of joining the company.
• Involved in data verification and end to end testing.

Lahore, Pakistan

• Wrote ETL services in Java to load raw transactional data to summary tables in database for report construction.
• Developed and deployed transactional and summary reports on i-net reporting engine using Informix and MySQL databases.
• Enhanced an internal reporting tool (QMR) for providing quarterly summaries for VISA and Mastercard.
• Analysed and evaluated an Open Source Business Intelligence Tool, SpagoBI. The tool is currently being used by the company for ad hoc reporting.
• Optimized backend SQL queries in order to enhance the report performance.
• Developed a utility in Visual Basic for automating ETL testing.

Lahore, Pakistan

• Compared and evaluated different PHP frameworks (Laravel, CodeIgniter, CakePHP, etc.) Presented my findings to the team lead, based on which the team opted for a suitable framework.

Professional Master'S In Big Data, Computer Science

Courses: Machine Learning, Natural Language Processing, Data Mining, Algorithms for Big Data, Big Data Labs focused on solving data.

Bachelor'S Degree, Computer Science

Activities and Societies: • Microsoft Student Partner (MSP): Organized events to engage student involvement and promote Microsoft services.