akshay@analytics:~

Twelve years turning raw, scattered data into decisions leadership can act on.

Director of Analytics, BI and AI — built data functions from zero across D2C, e-commerce, marketplace and financial services. Based in Bengaluru, open to roles in BLR, Pune, UAE & Europe.

$ cat summary.md

Analytics, BI and AI leader with 12+ years building data functions from zero across D2C, e-commerce, marketplace and financial services, including 6+ years leading the function end to end.

Built the Analytics and BI function at Uppercase from pre-revenue to ₹140 Cr annually, redesigning scattered system extracts into a single, query-optimised warehouse across 20+ sources. Owned analytics across web, mobile app, marketing, product and operations data at Flipkart and 6thStreet, running personalisation, product-ranking and seller-churn models in production. Hands-on with SQL, Python, Snowflake, Power BI and Tableau, with a track record of partnering directly with Category, Finance, Product and Executive leadership.

pythonsqlsnowflakepostgresqlairflowpower bitableaullms

$ tail -f impact.log

0
annual revenue scaled from zero, in 3 years (Uppercase)
0
source systems unified into one warehouse
0
faster issue detection, AI KPI alert engine
0
faster reporting turnaround to CBO, COO, CFO
0
ROAS improvement across paid marketing spend
0
dormant marketplace sellers reactivated (Flipkart)
0
Big Billion Days sale supported, 3 years running
0
conversion lift from ranking redesign (6thStreet)

$ git log --reverse --oneline

  1. 2022–2026
    Head of Technology, Analytics & IT at Uppercase (Acefour Accessories)
    Bengaluru · D2C e-commerce · reported to CBO, COO, CFO · team of 4
    • + Built the Analytics & BI function and full data stack from pre-revenue, integrating SAP, OMS, POS, DMS and marketplace systems into one source of truth across 20+ sources, cutting manual reporting by ~40 hrs/week.
    • + Redesigned the data model into query-optimised flat tables so category, finance and marketing teams could self-serve instead of raising a ticket.
    • + Built a product profitability analyser driving ₹20L+ in quarterly savings through SKU rationalisation.
    • + Built marketing mix models across Amazon, Meta and Google, improving ROAS by 23% and adding ~₹3.5 Cr in incremental revenue.
    • + Deployed Conversational BI on local LLMs (Ollama) at near-zero recurring cost, and an AI KPI alert engine cutting issue detection time by 80%.
  2. 2020–2022
    Analytics Lead at 6thStreet.com (The Apparel Group)
    Bengaluru · multi-brand fashion e-commerce · reported to CFO, CEO · team of 5
    • + Built the analytics function and a data governance framework on Snowflake, defining KPI ownership across Marketing, CRM, Product, Finance and Operations.
    • + Built segmentation, cohort and CLV analytics lifting campaign effectiveness by 12%; fraud and financial-partnership analytics added a separate 12% growth in net orders.
    • + Redesigned product listing ranking with category-level A/B testing, improving CTR by 4% and conversion by 143 bps.
  3. 2019–2020
    Associate, Credit Forecasting & Risk Analytics at J.P. Morgan Chase & Co.
    Bengaluru · consumer credit · US Auto and Credit Card portfolios
    • + Built forecasting and delinquency dashboards through the COVID payment-holiday programme, on one of the largest consumer credit portfolios.
  4. 2019
    Senior Business Analyst, COO's Office at Bounce
    Bengaluru · shared mobility
    • + Owned operations and marketing dashboards for weekly leadership reviews; piloted competitive hot-spot vehicle placement that drove a 28% surge in bookings.
  5. 2016–2019
    Manager, Analytics & Strategy (Fashion & Marketplace) at Flipkart (Walmart)
    Bengaluru · ₹500–650 Cr business · team of 6
    • + Grew from Business Analyst on Women's Apparel to leading analytics for the full Fashion business unit within two years.
    • + Led Project Queen, a gender-prediction model from behavioural data, and built the product ranking and recommendation models.
    • + Built a seller churn model that reactivated ~400 sellers on a base of 6,000, and cut returns by 67 bps through incentive redesign.
    • + Built 32+ dashboards across 250+ KPIs and ran hourly margin forecasting through three consecutive Big Billion Days (₹650 Cr over 5 days), preventing ₹5 Cr+ in pricing errors.
    • + Star Performer four times, promoted once in a three-year stint.

$ ls -la projects/

conversational_bi/

Production BI copilot running on local LLMs (Ollama) so business users ask questions in plain English instead of waiting on an analyst.

40+ business users · sharp cut in analyst dependency · near-zero recurring cost

pythonllmsollamasql
kpi_alert_engine/

Anomaly detection across margins, pricing, inventory and working capital, flagging outliers before they show up in a weekly review.

80% faster issue detection

pythonanomaly detectionpower bi
enterprise_data_platform/

Single source of truth built from SAP, OMS, POS, DMS and marketplace extracts into query-optimised flat tables, replacing ticket-driven reporting.

20+ systems unified · ~40 hrs/week saved

postgresqlairflowsql
product_profitability_analyser/

SKU-level P&L tracking across pricing and inventory, used to rationalise the catalogue and cut wasted spend.

₹20L+ in quarterly savings

sqlpower bi
project_queen/

Gender-prediction model built from browsing and purchase behaviour to close the gap in female customer representation.

grew traffic and revenue share from a targeted persona

pythonadobe analytics
seller_churn_prediction/

Behavioural scoring model to flag marketplace sellers likely to go dormant, prioritised for re-engagement.

~400 sellers reactivated on a base of 6,000

pythonsqlpredictive modelling

$ tree skills/

 skills/
├──data-modelling/warehousing, data lakes, data marts, query optimisation, MDM, single source of truth
├──modern-stack/SQL, Python, Snowflake, PostgreSQL, Apache Airflow, AWS, GCP, Azure
├──bi-reporting/Power BI (DAX, Fabric), Tableau, Qlik Sense, Looker Studio, executive dashboards
├──ai-ml/forecasting, churn & propensity models, recommendation systems, conversational BI
└──leadership/team building from scratch, hiring, executive stakeholder management, roadmaps

$ cat education.txt

2012–2014
MBA (Marketing), Symbiosis International University · GPA 3.37
2008–2012
B.Tech (Information Technology), Nirma University · GPA 8.01

$ mail --compose

name
Akshay Patel
location
Bengaluru, India
status
immediately available · open to roles in BLR, Pune, UAE & Europe