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.