Hello, I'm
Parameshwaran Vijayakumar
MSc Investments | Financial Data & Analytics | Automation/QA (5 yrs)
MSc Investments candidate (University of Birmingham) transitioning from 5+ years in QA Automation/DevOps into finance/FinTech.
From QA Engineering to Finance
After 5+ years building automation frameworks and ensuring software quality at scale, I'm transitioning into finance and FinTech—bringing a unique perspective on data validation, systematic thinking, and reliable systems.
Built an AI-enabled Financial Intelligence Terminal prototype to help students learn finance using real-time news + analytics tools.
Currently pursuing an MSc in Investments at the University of Birmingham, I'm focused on applying my engineering mindset to financial analysis, valuation, and quantitative methods.
What I'm Optimizing For
Financial Analysis Skills
Deepening expertise in DCF, comparable analysis, and quantitative methods
FinTech Product Development
Building tools that bridge data engineering and financial decision-making
Risk & Quant Foundations
Applying statistical methods to portfolio management and risk assessment
Current Interests
Professional Journey
5+ years building automation systems and ensuring software quality
Key Metrics
Impact & Achievements
- Led automation projects, reducing manual regression testing time from 3 days to 4 hours
- Executed 50+ regression cycles and identified 100+ defects/anomalies pre-release
- Applied risk-based testing to prioritise 200+ scenarios and automate high-impact paths
- Built TestRail/Jira reporting for 5 project managers (coverage, failure trends, risk hotspots)
Finance in Action
Demonstrating analytical skills through interactive visualizations
Featured Work
Finance and FinTech projects showcasing analytical and technical skills
Financial Intelligence Terminal
Prototype
Problem
Students overwhelmed by noisy financial news, struggling to extract actionable learning insights
Approach
Built an AI-enabled platform with news aggregation, structured tagging, and analysis templates
Output
Interactive dashboards delivering key drivers, risks, and concept links for guided learning
DCF Valuation Model
Defence & Aerospace Company
Built a 3-statement forecast and 10-year DCF valuation for a Defence & Aerospace company.
- Estimated ~15% undervaluation based on intrinsic value analysis
- Validated results using sensitivity tables (WACC/terminal growth)
- Performed comprehensive scenario analysis
Comparable Company Analysis
10 Peer Companies
Performed Comparable Company Analysis (10 peers) and derived valuation ranges.
- Applied EV/EBITDA and P/E multiples for valuation
- Documented peer selection rationale and outlier handling
- Performed multiple reconciliation across metrics
Technical Expertise
Competencies spanning finance, quantitative methods, and engineering
Finance
Quant / Risk
Tools & Languages
Engineering / Delivery
Academic Background
Education
University of Birmingham
CurrentMSc in Investments
St. Joseph's College of Engineering
Bachelor of Engineering in Mechanical Engineering
Certifications
Financial Modeling & Valuation Analyst (FMVA®)
Corporate Finance Institute (CFI)