Sanyukta Suman
Full-Stack AI Engineer · Berlin Open to senior roles

Best fit: AI Product Engineer · Data Engineer · Full-Stack Engineer

I build AI products, data systems, and workflow automation that ship.

Co-founded Xonects and built the product architecture end to end. Previously owned analytics pipelines and reporting systems for 8+ e-commerce clients at Datadice, delivering measurable ROI.

Case Study · Xonects

Shipped a cross-context AI system and real-time sync engine that connects five productivity apps in one place.

I owned the product architecture, application stack, integrations, and sync logic end to end — Next.js, Express/Prisma, PostgreSQL, Redis, and Gemini AI. Backed by NVIDIA Inception, Microsoft for Startups, and ZEROBASE.

xonects.com — your conversational work OS
Xonects — AI that understands context across all your apps and executes for you

Co-founder · AI Work OS · Nov 2025 – Present

Backed by NVIDIA Inception Program · Microsoft for Startups · ZEROBASE

What I owned

Designed the cross-context AI architecture, built OAuth integrations for five apps, shipped the real-time sync engine, and owned the full application stack end to end.

Scale

Connects Gmail, Outlook, Notion, Trello, and Calendar through a real-time sync engine. Backed by NVIDIA Inception and Microsoft for Startups.

Impact

Live product with working demo. Architecture supports cross-app context retention and multi-platform AI execution — teams stop context-switching.

Next.js TypeScript PostgreSQL Gemini AI Docker
Case Study · Datadice

Replaced weekly manual exports with real-time client dashboards.

Built the ingestion-to-visualization pipeline for 8+ e-commerce clients at Datadice. BigQuery ETL processed millions of daily transactions from Shopify, Amazon, and ad platforms. Result: 20%+ ROI lift for clients and 50% faster reporting.

Looker Studio — live client dashboards
Datadice — social media marketing dashboard

Data Analyst · Datadice GmbH · Jun 2022 – Aug 2025

What I owned

Designed schemas, modeled transformations in dbt, and maintained client-specific Looker Studio views for 8+ accounts end to end.

Scale

Millions of daily events from Shopify, Amazon, Google Ads, Facebook, and Instagram — processed through BigQuery pipelines with automated quality checks.

Impact

Clients reallocated ad budgets based on data-driven insights, driving 20%+ ROI improvements. Internal reporting dropped from weekly manual exports to daily auto-refresh.

BigQuery Looker Studio dbt Python
Case Study · Folosolo

Built a multi-touch attribution system that gives marketing teams a defensible way to assign credit and budget.

Uses Shapley values to fairly distribute conversion credit across every channel, replacing last-touch guesswork. Solo project from clickstream simulation to live dashboard — Apache Airflow, Python, BigQuery, Dataform, React.

folosolo.com — marketing attribution dashboard
Marketing Attribution Model dashboard

Solo Project · Marketing Attribution · folosolo.com

What I owned

Built the full pipeline solo — clickstream simulation with Airflow, data modeling in BigQuery + Dataform, ML attribution with Random Forest + SHAP, and a React dashboard for visualization.

Scale

Simulates multi-channel user journeys, computes per-channel Shapley values, and feeds a live ROAS dashboard — all running on cloud infrastructure.

Impact

Replaces last-touch attribution with a defensible, math-based model for budget allocation. Full documentation and live demo deployed at folosolo.com.

Python scikit-learn / SHAP BigQuery / Dataform Apache Airflow
Case Study · Unwritten Data

Upload a CSV. Describe your brief. Get a client-ready analysis in minutes.

A solo-built app that replaces manual analysis — structured output with statistics, quality checks, charts, and AI-generated recommendations. Built for consultants who need fast, defensible insights without writing code.

data-consultant.vercel.app — AI-powered data analysis
Unwritten Data — results dashboard with charts and KPIs
Data profiling and AI insights AI-generated recommendations Next steps and action items

What it does

01

User uploads a CSV and describes their analysis goal through a structured wizard.

02

System runs statistics, detects outliers, generates correlation heatmaps, and produces AI-powered insights via Gemini.

03

Output is a structured report with charts, confidence metrics, key signals, quality flags, and recommended next steps — ready for a client presentation.

Solo Project · Data Analysis App · Unwritten Data

What I owned

Built the full-stack app solo — Next.js frontend, Supabase/PostgreSQL persistence, Gemini AI integration for structured insights, and Recharts for interactive visualizations.

Scale

Handles arbitrary CSV uploads, runs server-side statistics and AI inference, and returns structured reports with charts, quality flags, and recommendations in real time.

Impact

Consultants go from raw CSV to client-ready analysis in minutes — without writing code. Demonstrates end-to-end product thinking and full-stack AI execution.

Next.js 16 TypeScript Supabase / PostgreSQL Gemini AI Recharts
What People Say

Testimonials

Sanyukta built our entire BigQuery pipeline from scratch — processing millions of transactions daily — and delivered Looker Studio dashboards that cut our reporting time in half. The 20% ROI lift she drove wasn't a projection; it was measured and directly tied to her work.

Thomas Knorr

CEO · Datadice GmbH

We came to Sanyukta with a messy data problem — scattered offers, no pipeline, no ML. She built the entire recommendation engine from scratch and our user engagement jumped 15% within months. What impressed me most was how fast she moved without cutting corners.

Desh Deepak

CEO · GottData

Sanyukta has this rare ability to take a fuzzy product idea and turn it into a working system within days. The cross-context AI architecture she designed is genuinely innovative — I've never seen someone move that fast with that level of quality.

Harit Krishan

Collaborator · Xonects

Where I've Worked

Experience

Datadice

Datadice GmbH

Data Analyst

Jun 2022 – Aug 2025 · Coburg

Promoted from Junior Data Analyst to a higher-ownership role over 3 years. Owned ingestion, modeling, and visualization pipelines for 8+ e-commerce clients end to end.

BigQuery Looker Studio dbt
GottData

GottData

Freelance Data Science Consultant

Mar 2023 – Dec 2023 · Remote

Built a recommendation engine for health insurance offers that increased user engagement by 15% across 10,000+ monthly active users. Developed ML pipelines predicting lead conversion for an Icelandic marketing client, boosting conversion rates by 20%. Freelance, concurrent with Datadice.

BigQuery ML Vertex AI scikit-learn AWS RDS A/B Testing
UniCredit

UniCredit

Data Engineering Intern

Mar 2021 – Aug 2021 · Munich

Built ETL data pipelines for risk analytics on large-scale financial datasets. Collaborated with senior engineers on data quality validation and automated reporting for regulatory submissions.

Python SQL ETL Pipelines
What I Can Own

Skills

Product & Frontend

Next.js / React TypeScript Tailwind CSS

Backend & Infrastructure

Node.js / Express PostgreSQL Redis Docker GCP / AWS

Data & ML

BigQuery Looker Studio SQL Python Gemini / Vertex AI scikit-learn
Academic Background

Education

M.Sc. Data Engineering

Jacobs University, Bremen

2019 – 2021

B.E. Computer Science

BMSIT, Bangalore

2014 – 2019
Get In Touch

Let's talk.

Open to senior roles in AI product engineering, data engineering, and full-stack product development in Berlin or remote. Best way to reach me: email or LinkedIn.