Evidence first
Traceable sources, critical evaluation and clear separation of facts from assumptions.
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I turn complex pharmaceutical and healthcare markets into clear evidence, practical forecasts and decisions teams can act on.
Healthcare markets are full of moving parts: science, access, competition, policy and commercial reality. My role is to bring those signals together without losing the nuance.
Expect a structured approach, transparent assumptions and outputs built for real decisions—not just a polished deck.
See how I can help ↘Traceable sources, critical evaluation and clear separation of facts from assumptions.
Connect clinical, competitive and market signals to business implications.
Models, matrices and narratives that stakeholders can understand and use.
Flexible support for consulting teams, pharmaceutical companies, biotech innovators and research organisations—from a focused sprint to a full market assessment.
Market landscapes, segmentation, demand drivers, patient and treatment context, top-down/bottom-up triangulation.
Patient-based and market-based forecasts, launch scenarios, assumptions, sensitivity analysis and opportunity models.
Competitor profiles, pipeline tracking, clinical milestones, regulatory signals, benchmarking and strategic implications.
Evidence-led assessments across oncology, biosimilars, vaccines, genomics, women’s health and medical devices.
Excel models, competitor matrices, research reports, PowerPoint narratives and Power BI-ready analysis.
Combining pharmaceutical domain knowledge, evidence-led research and AI-assisted workflows to turn complex information into clearer commercial decisions.
AI can accelerate information discovery and structuring. Strong research still depends on source quality, analytical judgement, transparent assumptions and human validation.
Structure and synthesise information from clinical trials, regulatory updates, company disclosures, scientific publications and pipeline announcements.
MARKET & COMPETITOR SIGNALSCombine patient-based forecasting, market drivers, scenario analysis and sensitivity testing to make assumptions and forecast risks more visible.
ASSUMPTIONS · SCENARIOS · RISKSExplore LLM- and RAG-supported workflows for literature review, document extraction, structured evidence summaries and research organisation.
TRACEABLE EVIDENCE SYNTHESISOrganise trial and pipeline information to assess development milestones, competitor activity, therapeutic landscapes and potential launch implications.
PIPELINE & LANDSCAPE MONITORINGAssess AI-enabled discovery, clinical development, precision medicine and digital health markets, including adoption drivers and commercial opportunities.
TECHNOLOGY & MARKET ASSESSMENTTranslate structured research and analytical models into Excel outputs, Power BI dashboards, competitor matrices and decision-ready presentations.
INSIGHTS · DASHBOARDS · DECISIONSRepresentative project themes and sample work formats. These are illustrative areas of expertise, not claims of confidential client deliverables.
Map treatment landscapes, clinical development, launch timing and potential commercial implications.
Assess market structure, adoption drivers, use cases and the evolving technology ecosystem.
Compare portfolios, regulatory milestones, access factors and competitive positioning.
Structure the drivers, make assumptions visible and test what changes the outlook.
These independent research demonstrations show how I structure a commercial question, build an evidence base and translate analysis into decision-ready outputs. They are illustrative examples, not commissioned client engagements or claims of completed client work.
Business question How could evolving oral GLP-1s, combination regimens and differentiated mechanisms reshape the obesity treatment landscape through 2030?
Business question Where are ADC assets concentrating, how differentiated are emerging programs and what could influence future competitive positioning?
Business question What determines whether promising advanced therapies can move from clinical progress to scalable patient access and sustainable adoption?
A few words from professionals who have worked alongside me across life sciences research and consulting.
Shrikant consistently took ownership of his work and met deadlines, and with a positive attitude and collaborative work made it easy to work with him, always open to taking feedback.
Shrikant is someone you can always rely on. His attitude towards doing things right is something to learn from. Excellent clarity on concepts, always trying to ask the right questions and consolidating everything to provide clients with the best possible outcomes.
Recommendations originally shared on LinkedIn. Names and profile links are provided for professional attribution.
Every engagement is tailored, but the work follows a simple discipline: align on the decision, build the evidence, test the logic and communicate what matters.
Talk through your brief ↗Agree scope, audience, decision need and deliverables.
Review credible sources, compare signals and document gaps.
Test assumptions, explore scenarios and check consistency.
Translate findings into clear implications and next steps.
Curiosity
with a
commercial lens.
I’m Shrikant Bolli, a life sciences market research and consulting professional with 15 years of overall experience, including around 10 years focused on research, forecasting and consulting, alongside earlier pharmaceutical commercial experience with Johnson & Johnson and Novartis.
With an academic foundation in Pharmacy (B.Pharm) and an MBA in Marketing, I bring together scientific understanding, pharmaceutical industry exposure and commercial thinking. I’ve worked across research and consulting environments and understand how evidence becomes market perspective, competitive context and commercial decisions.
Have a research question, a forecasting challenge or a project that needs an extra pair of experienced hands? Tell me what you’re working on.
Please avoid sending confidential patient information or proprietary data in an initial enquiry.