Hello, I am
Rohan Shah
Turning business complexity into strategic clarity.
Former Analyst at Performics (Publicis Groupe) | Msc Business Analytics at Queen’s University Belfast
About me
Bridging data and business strategy by turning numbers into decisions people can act on.
I enjoy solving business problems where strategy and analytics intersect. Whether it’s evaluating a market entry opportunity, improving business performance, or extracting insights from data, I’m most engaged when decisions require both structured thinking and evidence.
My experience at Performics introduced me to solving business challenges for large BFSI clients in a fast-paced environment, while my MSc in Business Analytics at Queen’s University Belfast is strengthening my ability to approach problems with analytical rigor and strategic perspective.
Beyond academics and professional work, I enjoy building consulting-style case studies that challenge me to think like an advisor rather than simply an analyst. Every project in this portfolio reflects that mindset.
When I’m not solving business problems, you’ll probably find me on a long drive with music playing
- Gujarat, India
- Open to roles globally
- English, Hindi, Gujarati
- Pursuing MSc Business Analytics
- Aspiring Strategy Consultant
Tools and Skills
Data Interpretation & Analysis
Client Reporting & Presentations
Stakeholder Management
Project Planning & Task Sequencing
Strategic Planning & Execution
Attention to Detail & Delivery Timeliness
MS Excel
Power BI
Tableau
Python
Experience
Analyst, Biddable Media
Trainee Analyst, Biddable Media
Digital Marketing Intern
Education
Business Strategy | Research | Quantitative Analysis
Marketing Analytics | Google Ads | Consumer Insights
Analytics | Statistics | Strategy | Data Visualization
Certifications
Projects
Greggs India Market Entry Strategy: An Independent Commercial Analysis
Skill tested: Market sizing & entry strategy
Independent commercial analysis, not affiliated with Greggs plc
TCS: Converting AI from Threat to Growth Engine
Skill tested: Transformation sequencing & competitive credibility
A 3-year roadmap for how TCS should reposition its AI business, sequencing credibility, workforce, and pricing decisions ahead of scale. Using a MECE framework across Revenue, Workforce, Delivery, and Competitive Positioning, I benchmarked TCS against Infosys, Cognizant, and Accenture, and found that its self-reported AI revenue is a credibility risk before it’s a growth story. The recommendation is to fix AI-revenue reporting and reskilling first, then pilot outcome-based pricing on a small set of lighthouse accounts before scaling company-wide.
Independent strategy case study, not affiliated with TCS
Ola Electric × Log9 Materials: A Distressed-Asset M&A Case Study
Skill tested: M&A strategy & deal structuring
Independent commercial analysis, not affiliated with Ola Electric Mobility Ltd. or Log9 Materials
Blinkit Customer Segmentation: Four Shopper Types Behind One Average Order Value
Skill tested: Behavioral segmentation & monetization strategy from public data
This case study segments Blinkit’s customer base into four distinct shopper types, arguing that its single average order value masks very different buying behaviors. Using public disclosures and independent quick-commerce research, it identifies Weekly Stock-Up Planners, Urgent Top-Up Shoppers, Discount-Led Occasional buyers, and Dormant/Trial Users. Each defined by purchase frequency and motivation. For every segment, the analysis recommends a targeted lever such as paid membership, retail media ads, targeted discounts, or low-cost win-back campaigns, respectively, benchmarked against proven industry results like Zepto Pass’s membership growth. The core thesis: Blinkit should stop over-discounting loyal shoppers and under-monetizing urgent ones.
Independent strategy case study, not affiliated Eternal Ltd., Blinkit’s parent company.
" The essence of strategy is choosing what not to do"
-Michael E. Porter