Adithya Ramanathan
Toronto,Canada
Summary
Highly skilled Operational Risk Analyst with significant experience in risk assessment, mitigation strategies, and regulatory compliance. Strengths include comprehensive knowledge of financial markets and operational risk management tools. Contributed to improved business performance by identifying potential risks, implementing effective solutions, and communicating complex information to stakeholders.
Overview
3
3
years of professional experience
Work History
Operational Risk Analyst
MARS Incorporated
Toronto, ON
06.2024 - Current
- Created and managed key Operational Risk program-related documentation, tools, training materials, and governance practices; applying appropriate rigor to ensure global program consistency and quality.
- Developed and automated internal risk metric (MARS Risk Score) to evaluate risk profiles of multiple manufacturing locations using financial and operational risk data.
- Collaborated with the Enterprise Risk Management (ERM) and Corporate Risk Financing (CRF) teams to develop a MyPremium score, determining the insurance premiums each business unit pays into the Captive Model
- Implemented machine-learning text classification model with validation steps to analyze recommendations and categorize them into relevant engineering categories.
- Directed creation of Operational Risk data lake utilizing Microsoft Azure and Databricks while establishing formal data governance processes.
- Formalized effectiveness review process workflow (Enablon) to reinforce enterprise recommendation cycle, collaborating with engineers and vendors across 200 manufacturing sites.
- Maintained MARS Asset Conservation Management (ACM) Technical standards for diverse operational risks, revising them per global and local engineering standards.
- Developed Operational Risk training videos on key operational risk hazards, eventually leading to the creation of the internal ORM training channel, providing learning content to around 30,000 associates.
- Spearheaded the Vacant Property Management process through the creation of an automated cost-benefit analysis tool using relevant location master data, crime statistics, and government data on taxes. Additionally, collaborated with MARS Vet Health leadership to incorporate this process into their Finance Manual.
Supply Chain and Logistics Intern
MARS Canada
Bolton, Ontario
05.2023 - 08.2023
- Applied Data Analysis to track, maintain and visualize key metrics using Power BI, Rebus & SAP on multiple reporting initiatives such as: OS&Ds - Inbound and Outbound, further issues with inbound product to visualize potential issues on a distribution and transportation perspective and formulate solutions using Root Cause Analysis.
- Managed an Ocean Freight project which summarized relevant ocean lane information on products at a cross-segment level (MARS Wrigley, Food & Petcare).
- - Kept Key stakeholders informed on any rate changes (MGS, Inventory, Transportation, Trade Compliance) & provided market updates from the GOT.
- - Developed Process Documentation which involved necessary steps for establishing a new carrier/lane/vendor & banking information in MARS Global Ocean Transport.
- - Performed verification of incoterms through the acquisition of co-manufacturing agreements and shipping copies of MARS products from lanes across the world.
- Conducted intricate costing & analysis to estimate the amount of overhang fines MARS receives annually. Forecasted the potential value for 2023- part of MARS Value Leadership (Fines Cost Minimization).
- Created a Power BI report which assisted in the estimation of Potential Overages and Shortages Mars receives cross-segment and identified top offending customers. Further recommended potential solutions by identifying root cause.
- Adapted Data Visualization & Analysis through Power BI and key MARS systems to track inbound loads with recurring infestation issues to potentially isolate for a particular carrier.
- Prepared weekly inventory reports highlighting stock of products across two distribution centers.
Education
Honors Bachelor of Science (HBSc) - Economics (Focus in Data Analytics), Mathematics & Statistics
University of Toronto St. George
Toronto, ON06.2024
Skills
- Data analysis
- Risk management
- Machine learning
- Process documentation
- Data governance
- Stakeholder communication
Projects
Prediction of nestle stock prices, 09/22, 12/22, Analyzed historical data using Multiple Regression and predicted the closing stock price using relevant Macroeconomic data., Constructed a logistic regression model specific to the company considering internal and external factors., Applied Rigorous Hypothesis testing and Statistical Machinery to test for accuracy of prediction.
Prediction of the 2025 Canadian Federal Election, 09/22, 12/22, Analyzed historical data using Multilevel Regression & Poststratification to accurately predict the Voting outcome of each Political Party., Constructed an appropriate statistical model using Census Data for the last 20 years.
An Empirical Study on the Effect of GDP per Capita on Environmental Degradation, Conducted Rigorous Econometric Modelling using relevant global Time Series and Panel data., Formulated an econometric model to estimate the causal effects of GDP per Capita on Carbon emissions., Utilized empirical methods such as Regression Discontinuity and Difference-in-differences to isolate for fixed & variable effects.
Timeline
Operational Risk Analyst
MARS Incorporated
06.2024 - Current
Supply Chain and Logistics Intern
MARS Canada
05.2023 - 08.2023
Honors Bachelor of Science (HBSc) - Economics (Focus in Data Analytics), Mathematics & Statistics
University of Toronto St. George