Matching exceptional talent with companies that value substance over stories.

B.R.

Data Analyst

Analytically-driven data professional who transitioned from art entrepreneurship to building pricing engines and fraud systems with measurable business impact.

View CV

🧠 How they think

We found his thinking to be remarkably structured and problem-first. He consistently starts with defining the problem before diving into data showing he understands that without clear objectives analysis becomes meaningless. When we gave him a hypothetical art dataset scenario he immediately asked what's the problem we're trying to solve rather than jumping into exploratory analysis. This demonstrates disciplined thinking - he resists the temptation to get lost in data without purpose.

⚡️ Fast facts

EDUCATION

MBA Business Analytics from CMS Business School (8.91 CGPA), B.E. Electrical Engineering from Kumaraguru College (8.37 CGPA).

INDUSTRY EXPERTISE

Analytics, Banking, Compliance, Data Analysis, Financial Services, Fintech, Fraud, Mobility, Payments

YEARS OF EXPERIENCE

3.5+

EXPERIENCE WITH TOOLS

Python, SQL, Tableau, Metabase, Databricks, Postgres, Clickhouse, R, PowerBI, Quicksight, DBT, GitHub, Kubernetes

NOTICE PERIOD

3 months

PRIORITIES FOR NEXT ROLE

Impactful work, Work-life balance, Competitive compensation

HEAR THEM IN ACTION

00:00 / 01:04

💪 What drives them

We strongly felt he is driven by intellectual curiosity and the craft itself. He mentioned caring more about getting hands-on and seeing impact than whether roles are agency-side or in-house. The fact he maintains creative outlets (book reviews horror writing) while excelling analytically suggests someone energised by variety and continuous learning. He's genuinely excited about using AI to eliminate mundane work so he can focus on higher-impact projects.

📣 Communication style

Exceptionally clear communicator who breaks down complex concepts naturally. His explanation of the dual acceptance rate optimisation was easy to follow despite being mathematically sophisticated. He uses concrete examples and builds logically from problem to solution to outcome. We felt he has the rare ability to make technical work accessible to non-technical stakeholders.

🥵 Toughest problem solved

His pricing optimisation project at Namma Yatri seemed genuinely sophisticated. Rather than accepting manual surge pricing he built a regression-based system balancing driver and rider acceptance rates. He created a composite metric (driver acceptance × rider acceptance) to find equilibrium pricing points. The mathematical thinking was sharp - he understood that maximising either metric alone would fail so he optimised for their multiplication. Results were tangible: 5% increase in driver acceptance while maintaining rider satisfaction within acceptable trade-offs.