Salem Raman

Master of Business Administration (MBA)

2019 - 2022

Rotman School of Management, University of Toronto, Toronto, ON

During my masters (part-time), my course work was oriented towards leading tech teams and delivering research products.
I had two focus areas: management analytics, and consulting.

Cert. Data Analytics, Big Data, & Predictive Analytics

2016 - 2017

Toronto Metropolitan University, Toronto, ON

This certificate provided a broad introduction to data analytics writ large. Specifically, it focused on an introduction to the data science lifecycle, as well as tools of the trade (R, Python, SQL etc).

Honours Bachelor of Science

2010 - 2014

University of Toronto, Toronto, ON

Majored in Human Biology, Psychology, and French Studies.

Lead Data Scientist - MCCSS

2024 - Present

Toronto, Ontario

• Led and mentored a team of 4 to deliver a strategic program pivot of the Ministry's audit function within 5 months, tripling delivery speed and enhancing audit capabilities.
• Drove a major process transformation by migrating workflows from on-premises to cloud platforms, leveraging Python, PySpark, and Databricks to improve scalability, efficiency, and analytical depth.
• Onboarded and trained 9 staff over the fiscal year, building strong development practices, data governance, and a collaborative team culture.
• Delivered $37M in financial benefits in a single loss-prevention program cycle, achieving a 55% success rate across ~4,100 cases reviewed.
• Built tools that cut report preparation from one week to one day, halved data cleaning time, and automated key performance metrics for rapid insights.

Data Scientist - MCCSS

2021 - 2024

Toronto, Ontario

• Led a loss-prevention effort in social assistance using data science, identifying networks of beneficiaries, with estimated savings of $14M in 2021-2022.
• Led a comprehensive analysis in child support payments – from data selection, pipeline development, to analytical approaches applied – of payment trends across six fiscal years, utilizing a vast dataset of millions of rows.
• Assessed and improved an existing predictive model targeting high-risk child-support payors, offering key enhancement suggestions to boost performance and precision.

Senior Labour Relations Research Analyst - TBS

2020 - 2021

Toronto, Ontario

• Managed the migration and development of a comprehensive longitudinal workforce database, consolidating 10 years of monthly data from 120 MS Access databases into a single SQL database.
• Offered research and analytical support during labour negotiations, conducting Monte-Carlo simulations to assess payroll impact of new contracts.
• Conducted training sessions on R, SQL, and Git to enhance the team's analytical proficiency.

Data Specialist - MCI/MCCSS

2017 - 2020

Toronto, Ontario

• Developed and implemented a data strategy aimed to improve the data maturity of the organization.
  • 10+ roadshows with various areas to socialize work
  • Consulted areas and created the governance layer: project charter, engaged champions, etc.
  • Developed various data products to showcase success and drive adoption.
  • Provided training to staff across verticals to improve analytical capacities broadly.