No standardised KPIs
FIXED WITH
KRA/KPI frameworks across 6 HR sub-functions, on a 3-tier metric architecture.
HR analytics & people systems · MBA-HRM, TAPMI '27
Most cases get filed.
Mine get deployed.
I'm Upasana. I find the pattern inside people problems, build the system that fixes them, and ship it live.
25,000+ customer cases
30+ hires closed
510 people profiled
5 dashboards, live from day one
Almost opened a food business. Maybe still will.
I took the long way into HR instead. Economics at Delhi University, then customer experience, then hiring, then an MBA. Somewhere along the way I noticed I think like a consultant: find the pattern, fix the system, prove it with data.
DelhiBengaluruManipalHyderabadManipal
My first 25,000 cases.
Jar is a Tiger Global-backed fintech with 35M+ users. I joined during its fastest growth, when product and policy changed week to week, and kept resolution quality high at volume.
25,000+cases resolved, email + chat
85%CSAT held at volume
1 of 35Rocketeer of the Month
The clueThe same bugs kept showing up in the cases. I took the pattern straight to Product and Engineering.
Then I learned to read people before they walk in.
14 months as HR Consultant at Sprinto, an Accel & Elevation Capital-backed compliance SaaS working across 75+ countries. I built role-specific hiring strategies with department heads up to Associate Director level, from JD to offer, and closed a strategic Insurance Partner deal under Talent Management.
30+hires closed, incl. a Director
4functions: Finance, Product, Engineering, CS
~25%offer conversion
The clueHiring is a funnel. Measure every stage and the leaks show up on their own.
Then I went back to sharpen the tools.
MBA in Human Resource Management at T. A. Pai Management Institute, AACSB accredited. Class of 2027.
CertifiedGenerative AI for HR Professionals · Fractal Analytics
CertifiedHR Analytics · UC Irvine, Coursera
510 people. 7 instruments. Then it clicked.
As Project Lead of TAPMI's Leadership Assessment & Development Centre, I run seven psychometric instruments for the MBA cohort. I merge the results into one competency profile per person, then sit down one-on-one to turn that profile into a development plan.
Big FiveEmotional IntelligenceSelf-EfficacyLocus of ControlLeadership Style+ 2 more
People leave data trails. Someone has to read them.
Not filed. Not reviewed. Deployed.
NephroPlus is NSE-listed and Asia's largest dialysis network, with 520+ centres across 5 countries. I built its HR performance management system end to end, from gap analysis to live deployment.
FIXED WITH
Subjective evaluations
FIXED WITH
13 standardised job descriptions and 11 role-specific rubrics with weighted scoring.
Zero automated tracking
FIXED WITH
Everything deployed in the Keka HRMS PMS module. Structured, auditable, organisation-wide.
No analytics dashboards
FIXED WITH
5 Power BI dashboards built with DAX, replacing manual reporting with real-time workforce analytics.
The metric architecture
Three tiers, so every KPI answers “so what?”
EfficiencyTraining completion rates, time-to-fill
EffectivenessRelevance scores, satisfaction
Business impactProductivity, attrition, revenue per employee, cost metrics
Exhibit A
The five dashboards, rebuilt as a demo.
HR Analytics · Power BI · demo rebuildDUMMY DATA
Same five dashboards and the same structure, filled with dummy numbers. The originals hold NephroPlus employee data and stay private.
Adopted by HR leadership the day it was delivered.
LIVE IN PRODUCTIONThe kit
Tools I reach for on every case.
Analytics
Power BIDAXAdvanced ExcelData visualisationKRA/KPI design
HR systems
Keka HRMSLever ATSNaukri RMSLinkedIn RecruiterMS Office
Methods
Psychometric assessmentJob analysisWorkforce planningOnboarding designProcess designStakeholder management
Off duty
Off duty. Sort of.
Favourite thriller
Verity. Fitting, since it means truth. So does good data.
Crime thrillers are the reading habit. Spotting the clue before the reveal is the same muscle as spotting the outlier in a dashboard.
Now playing while building dashboards
Punjabi playlists, Diljit on repeat. The song title is a coincidence. Probably.
The last two are her favourite words. They're also how most good hypotheses start.
Open case
Looking for my next case.
Real problems. Real data. Work you can see. Admin. Easy.
HR AnalyticsHRBPPeople OperationsTalent Management
nebhaniupasana22@gmail.com
Hi, I'm Upasana. The one behind the case files.
- FOCUS
- HR analytics & people systems
- EDU
- MBA-HRM, TAPMI · class of 2027
- BASE
- India · open to roles nationwide
- STATUS
- Open to opportunities