AI & GenAI
LLMs, NLP, embeddings, document intelligence, intelligent automation and AI-enabled applications.
Analytics · AI · Data Science · Business Intelligence
I turn data into
decisions that move.
I’m Parshvi Gupta, an analytics leader with 10+ years across commercial analytics, data science, AI, customer intelligence and MarTech — translating complex data into measurable business outcomes.
0+ years
experience
experience
0major
organizations
organizations
0core
domains
domains
∞curiosity
for data
for data
01 / ABOUT
Technical depth.
Business instinct.
I work at the intersection of analytics engineering, machine learning, AI and decision science.
My career has moved from digital analytics and algorithmic trading to banking, consumer intelligence, GenAI and commercial analytics. The common thread: finding the signal, building the right solution, and making it useful to the people making the decision.
01Start with the decision
Technology is useful only when it changes an outcome.
02Make complexity usable
Great analytics should become clear action, not another dashboard.
03Build for adoption
Data products win when teams trust, understand and use them.
02 / EXPERTISE
My operating system
From raw data to executive decision support.
Data Science
Predictive modeling, segmentation, forecasting, experimentation and customer analytics.
Commercial Analytics
Performance insights, RGM, sales & distribution analytics and executive decision support.
Data & BI
Data governance, visualization, reporting ecosystems and analytics delivery.
MarTech
Customer data, digital analytics, CRM personalization, MMM and measurement.
Leadership
Stakeholder alignment, team leadership, delivery management and cross-functional collaboration.
03 / JOURNEY
10+ years. Six chapters.
Click any role to expand the detail.
03/2026 — PRESENT
Senior Manager
L'Oréal · Commercial Analytics
Data governance + advanced commercial performance analytics for leadership, RGM and SDM teams.
Established governance frameworks for reliable commercial datasets and deliver periodic performance snapshots and advanced analytical solutions to accelerate data-driven decision-making.
12/2024 — 03/2026
Senior Manager
Marsh McLennan · Data Science & AI
LLM chatbot, embeddings-based document parser and OCR/LLM claims extraction pipeline.
Built AI solutions for warranty and insurance workflows: automated stakeholder queries, extracted relevant binder sections and improved claims-processing speed and data accuracy.
12/2022 — 12/2024
Data Analytics Specialist
Mondelez International · Consumer Digital, Sales & Marketing
Customer profiling, D2C, CRM personalization, sentiment analysis and Marketing Mix Modeling.
Used first-party data and Gradient Boosting for customer profiling; helped pioneer a content-to-commerce model; built MMM and executive ROI/channel performance visualizations.
06/2019 — 12/2022
Analytics Manager
Citibank · Analytics & Information Management
Paperless penetration strategy and customer lifetime value analytics for North America.
Designed targeting strategies to increase paperless adoption and built CLV models using transaction and engagement data to identify high-value customers.
04/2018 — 06/2019
Assistant Manager
Barclays · Algorithmic Trading Analytics
Tick-level trading analytics and ARIMA forecasting.
Used kdb+/q on tick-level data, assessed trader/channel performance and applied ARIMA models to forecast yield and P&L.
06/2016 — 04/2018
Analyst
dunnhumby · Digital Analytics, Tesco UK
Campaign evaluation, clickstream analytics and customer segmentation.
Measured supplier campaigns across Tesco.com and used k-means segmentation for targeted sampling and personalized coupon distribution.
04 / SELECTED IMPACT
Work that changed the number.
Selected examples from the CV.
~8%
MARKETING MIX MODELING
Higher conversions associated with ~5% more digital advertising.
Built MMM and used Azure Data Lake + Power BI to surface real-time ROI and channel performance.
$6
COST / CUSTOMER / YEAR
Paperless adoption strategy
Customized targeting helped reduce annual costs by $6 per customer.
AI
INTELLIGENT AUTOMATION
LLM-powered warranty assistant
Intent detection, policy interpretation and dynamic responses reduced manual support.
CLV
CUSTOMER STRATEGY
High-value customer identification
Predicted customer lifetime value from transaction + engagement data and enabled differentiated strategy.
05 / ANALYTICS LAB
Try a few tiny tools.
Interactive mini-apps, fully coded in-browser. No data leaves this page.
EXPERIMENT CALCULATOR
Is your variant actually better?
Enter visitors and conversions for control and variant. This gives a quick two-proportion z-test approximation.
Result+11.3% lift
Variant: 6.90% vs control: 6.20%
QUICK BUSINESS MODEL
Estimate customer lifetime value.
A compact directional model using average order value, annual frequency, margin and retention.
Estimated CLV₹9,450
Directional gross-margin contribution.
MARKETING ECONOMICS
Turn spend into a quick ROI view.
Calculate ROAS and contribution ROI from spend, attributed revenue and gross margin.
Economics3.60× ROAS
62.0% contribution ROI
06 / PLAYGROUND
Because data can be fun.
Two tiny games for an analytics brain.
GAME 01
Data Sort Sprint
Score0
Click the numbers from smallest → largest. Faster clean rounds score more.
Ready?
GAME 02
Signal or Noise?
Streak0
Which segment has the highest value? You have a few seconds to spot the signal.
Hit start and choose the tallest bar.
07 / FOUNDATION
Built on business + technology.
MBA · Marketing & Finance
Indian Institute of Technology, Roorkee
82%B.Tech · Computer Science & Engineering
Uttar Pradesh Technical University
78%ACP Gen AI Advanced Programming
upGrad
GenAI08 / CONTACT
Have a hard
data problem?
For leadership opportunities, AI & analytics conversations, collaborations or just a sharp data question.