I help teams turn
messy operations
into measurable outcomes.
I'm Jayant Sharma — a Business Analyst and up-and-coming consultant based in Delhi, India. For 3+ years I've helped companies diagnose broken processes, build the dashboards leaders actually use, and ship transformation programs that finish on time.
Business analyst mindset.
Consultant's playbook.
Most analysts get lost in tickets. Most consultants skim the surface. I sit in the overlap: deep enough to read SQL and BPMN on day one, structured enough to frame the problem, quantify the stakes, and present a clear recommendation to a steering committee.
My work combines three muscles — requirements and process (BPMN, user stories, SOPs, gap analysis), analytics (SQL, Power BI, Tableau, A/B testing, funnel & cohort work), and consulting craft (stakeholder maps, executive communication, change management, vendor evaluation).
Four ways I work with teams.
Each engagement starts with a 2-week diagnostic: I sit with your operators, pull the data, and come back with a framed problem and a costed plan — not a generic deck.
Business Analysis
Requirements gathering, user stories, acceptance criteria, stakeholder interviews, and documentation that engineering will actually use.
Process Optimization
As-is / to-be process mapping (BPMN), root-cause analysis, SOP redesign, and automation opportunity assessments.
Data Analytics & Dashboards
KPI frameworks, SQL data models, executive dashboards in Power BI and Tableau, cohort analyses, and A/B test design.
Digital Transformation
Vendor evaluation (RFPs, scoring models), change management, adoption measurement, and steering-committee reporting.
Three engagements, three outcomes.
Each case study is a self-contained read (6–8 minutes). If your situation looks similar, let's talk.
Cutting order-fulfilment time by 38% at a mid-sized retailer
A 5-step process mapping sprint exposed two hand-off bottlenecks that accounted for 71% of delays.
Lifting SaaS activation from 24% to 41% in one quarter
Cohort analysis and a funnel rebuild identified three silent drop-offs — plus the A/B tests that fixed them.
Loan origination: 11 days to 3 days at a regional bank
As-is / to-be modeling, a structured vendor selection, and a phased rollout that beat its adoption target.
Have a broken process or a question your data can't answer yet?
Tell me what you're working on. I'll tell you — honestly — whether I can help and how long it would take.
Get in touch →