VIVEK VERMA

Dynamic and results-oriented Pharma Consultant with 2 years of experience in secondary research, forecasting, competitive intelligence, and therapy area assessments. Skilled in rare disease analysis, Excel-based data analytics, and client-facing insights delivery. Adept at working with MIDAS data, market sizing, and pipeline analysis.

Date of Birth: 08/18/92

• Actively applying for consulting roles while strengthening core skills
• Completed Royed Life Science, Business Consulting, and Pharma Forecasting certifications
• Hands-on pharmacovigilance certification (Clini India)
• Engaged in freelancing projects, including market research, competitive intelligence, and forecasting
• Worked as a sessional trainer at Scholavar (CI and forecasting)
• Revisited Cliniminds’ updated sessions on CI and forecasting
• Delivered industry projects – primary myelofibrosis (CI) and demand forecasting

• Therapy Area Assessments: Duchenne Muscular Dystrophy (DMD), Amyotrophic Lateral Sclerosis (ALS), Lewy Body Dementia (LBD), Non-Small Cell Lung Cancer (NSCLC)
• Forecasting models: patient-based forecast (epidemiology forecast), demand-based forecast (trend-based forecast)
• General: Developed a patient-based incidence model to evaluate the commercial potential of the 'Client Product' in neovascular age-related macular degeneration (nAMD) in the US, conducted a new product share calculation, and generic erosion with time, and before that, class revenue from its launch till generic entry
• Worked on a demand forecasting project for a drug transitioning from vial formats (5 ml, 10 ml, 20 ml) to pre-filled syringe (PFS) SKUs (5 ml, 10 ml, 20 ml, 50 ml), applied a logistic curve model to project the uptake and adoption pattern of the new SKUs, reflecting market behavior during the format transition, and used time series analysis to estimate total product demand over time, employed advanced Excel formulas to generate SKU-level volume forecasts and model multiple scenarios for strategic planning
• Competitive intelligence: Worked on the CI project of primary myelofibrosis, focusing on company profiling, clinical and pipeline intelligence, regulatory timelines, and market dynamics. Extracted efficacy, safety, and patient data from literature and databases to assess late-stage assets, identify top competitors, and evaluate emerging endpoints and MOAs, provided insights on the treatment landscape, unmet needs, and asset positioning to support strategic decision-making
• Data analysis: Worked on the migraine market, performing in-depth data analysis using Excel, including pivot tables, to track product performance by growth, market share, SPLY (same period last year), and 4-week, 12-week, and 52-week averages. Generated weekly and monthly reports to support market monitoring and business decision-making through trend identification and performance evaluation

• Therapy area assessment: conducted an in-depth analysis of epidermolysis bullosa, including a general disease overview, current treatment landscape, identification of unmet needs, and assessment of commercial and clinical opportunity areas
• Forecasting: estimated the market size of a specific drug class within the epidermolysis bullosa market and forecasted the revenue potential of a novel therapy using an epidemiology-based model, the forecast incorporated market access and adoption percentage assumptions, along with share allocation and supporting variables derived through secondary desk research

• General and Oncology forecasting and analog-based forecast models incorporating epidemiology, access/adoption funnels, and advanced uptake modeling (logistic/exponential) applied time-series methods for trend calibration

• Company profiling
• Competitive landscape and pipeline mapping
• Trial design and differentiation
• Regulatory and milestone tracking
• Threat, risk, SWOT, portfolio analysis

I have primarily worked in the clinical development and pre-launch CI space

• Descriptive analysis, commercial/market performance analytics, time series analytics, and KPI tracking, predictive analytics, strategic analytics, and forecasting analytics

• Familiarity with IMS, IQVIA, SmartUS MIDAS, PubMed, ClinicalTrials.gov, SEER, Clarivate, FDA databases, and company websites

• Advance Excel
• Powerpoint
• Word
• Power BI
• Zoho CRM
• AI tools