JAWAHAR NAIDU / CS ENGINEER + ESSEC MIM

Digital
transformation.
From analysis
to delivery.

My work spans digital marketing, e-commerce analysis, and applied AI. I build the tools I recommend.

LOOKING FOR

Product · Digital marketing · Project delivery

Explore selected work
FIG. 00 / THE CITY BEFORE THE BUILDSCROLL TO CONSTRUCT ↓
OPEN TO INTERNSHIPS & ALTERNANCEINTERNSHIPS FROM JANUARY 2027PARIS, FRANCE
03E-commerce

From customer reviews to commercial decisions.

At ESSEC, I study strategy and how organisations use technology. The business intelligence project put that into practice.

Beauty e-commerce analytics

ESSEC coursework
671,361customer reviews

6,741 products · 5-view Tableau story

I combined Sephora reviews, Google Trends, and Statista in a galaxy-schema pipeline, then used Tableau to make category, pricing, and geographic investment recommendations for L'Oréal.

Model the dataRead the patternsRecommend

ESSEC · Master in Management · 2025–2027

RESEARCH → RECOMMENDATIONESSEC / 2026
BEAUTY E-COMMERCE

Read the market.
Choose the move.

Three commercial questions. One connected evidence base.

SephoraGoogle TrendsStatista
671,361customer reviews
across 6,741 products
THE QUESTION

Where should the category investment go?

Reviews
Products
Category ranking
DECISION FOCUSCategory investment

Category ranking connects the review data to a commercial choice: where to focus the portfolio.

5-view Tableau story · Galaxy-schema pipelineInteractive explanation of the project, not a live dashboard.
04Adopt

Use the AI tools you already pay for.

I built Adopt to route work across an organisation’s existing AI tools. It connects task-level adoption evidence to decisions about which tools to keep, fix, or switch.

Live demoNext.js / TypeScript / Postgres
Route
Match a task to a licensed tool.
Ledger
See what people adopted or abandoned.
Stack
Compare seat use and overlapping tools.
Shadow
Record unapproved use and its cause.

The demo organisation is synthetic. Usage, capability scores, and seat prices are illustrative.

Four vendor connectors are built to documented endpoints. Endpoint checks pass; none has been verified against a live corporate tenant.

Adopt · AI Stack Control Plane · September 2026

ADOPT / PRODUCT WALKTHROUGHAI STACK CONTROL PLANE
ROUTE / HOW IT WORKS

Match a task to a licensed tool.

Start with the task. Match it to a tool the organisation already licenses.

Product concept diagram · Explore each surfaceOpen the live demo ↗
01Client delivery

Built on real work.

I studied computer science at REVA while working on client delivery at PandaECE and CRM integration at PocketLite.

PandaECE

May 2024 – March 2025

Digital Strategist & Transformation Lead

I ran digital strategy for 30+ SME clients and built Power BI dashboards to track their performance. GenAI automation cut production time by 40%.

Grew a peer-learning community to 1,200+ members.

PocketLite Infotech

September 2023 – March 2024

PHP Developer · Internship

A CRM integration in PHP, MySQL, and the Zoho API. I also wrote migration documentation, trained 3 departments, and automated data extraction in Python.

The extraction scripts saved ~10 hours/week.

B.TECH FINAL-YEAR PROJECTVehicle CO₂ prediction My B.Tech final-year project compared four models. XGBoost scored MSE 1.53; I served it through a Flask app.

Bengaluru · 2021–2025

FIG. 01 / CLIENT DELIVERY
02The crossing

Engineering. Then business.

B.Tech in Computer Science & Engineering, with Honours. Now the Master in Management at ESSEC.

2021–2025 / BENGALURUREVA UniversityB.Tech · Computer Science & Engineering (Honours)
2025–2027 / CERGYESSEC Business SchoolMaster in Management · Grande École

Bengaluru → Cergy · 2025

FIG. 02 / THE CROSSING
05Workshops

Still building.

A published set of agent skills. A prototype that asks whether a custom AI model is worth building.

Ballast

LATEST PUBLIC WORK

Published · 11 September 2026

11self-authored agent skills

I put my working rules into portable skills for tools including Claude Code and Codex. Markdown only. CI rejects scripts, secrets, dependency manifests, and non-conforming skill files.

MIT licensed · Agent Skills open standard

Explore Ballast

Forge

Prototype · Unpublished

Should you build a custom AI model or keep paying for an API? This Python CLI tests open models and produces a build-vs-buy ROI report. It runs on open LLMs.

Python CLI · Working demo report · Offline self-check

Selected projects · 2026

FIG. 05 / WORKSHOPS
06Open plot

Room for the next build.

I'm looking for opportunities in digital transformation, product, digital marketing, e-commerce, and project delivery. Open to internships from January 2027 and 12–24-month apprenticeships in Paris / Île-de-France.

APPRENTICESHIP / ALTERNANCE12-24 MONTHS
3 days company / 2 days school
INTERNSHIP / STAGE

From January 2027

Product, digital marketing, e-commerce, and project delivery.

The open plot · Your team

FIG. 06 / OPEN PLOT