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.
Portfolio
Xonects
AI work OS that unifies email, tasks, and calendar across Gmail, Outlook, Notion, and Trello. Backed by NVIDIA Inception and Microsoft for Startups.
Marketing Analytics Dashboard
BigQuery pipelines and dashboards that cut reporting time by 50% and drove 20%+ ROI for 8+ e-commerce clients.
Marketing Attribution Model
Full-stack multi-touch attribution pipeline that uses Shapley values to fairly credit each channel — replacing last-touch guesswork.
Unwritten Data
Upload a CSV, describe your brief, get a structured analysis, charts, and recommendations — ready for client reports.
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.
Co-founder · AI Work OS · Nov 2025 – Present
Backed by NVIDIA Inception Program · Microsoft for Startups · ZEROBASE
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.
Connects Gmail, Outlook, Notion, Trello, and Calendar through a real-time sync engine. Backed by NVIDIA Inception and Microsoft for Startups.
Live product with working demo. Architecture supports cross-app context retention and multi-platform AI execution — teams stop context-switching.
xonects.com
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.
Data Analyst · Datadice GmbH · Jun 2022 – Aug 2025
Designed schemas, modeled transformations in dbt, and maintained client-specific Looker Studio views for 8+ accounts end to end.
Millions of daily events from Shopify, Amazon, Google Ads, Facebook, and Instagram — processed through BigQuery pipelines with automated quality checks.
Clients reallocated ad budgets based on data-driven insights, driving 20%+ ROI improvements. Internal reporting dropped from weekly manual exports to daily auto-refresh.
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.
Solo Project · Marketing Attribution · folosolo.com
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.
Simulates multi-channel user journeys, computes per-channel Shapley values, and feeds a live ROAS dashboard — all running on cloud infrastructure.
Replaces last-touch attribution with a defensible, math-based model for budget allocation. Full documentation and live demo deployed at folosolo.com.
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.
What it does
User uploads a CSV and describes their analysis goal through a structured wizard.
System runs statistics, detects outliers, generates correlation heatmaps, and produces AI-powered insights via Gemini.
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
Built the full-stack app solo — Next.js frontend, Supabase/PostgreSQL persistence, Gemini AI integration for structured insights, and Recharts for interactive visualizations.
Handles arbitrary CSV uploads, runs server-side statistics and AI inference, and returns structured reports with charts, quality flags, and recommendations in real time.
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.
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
Experience
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.
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.
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.
Skills
Product & Frontend
Backend & Infrastructure
Data & ML
Education
M.Sc. Data Engineering
Jacobs University, Bremen
2019 – 2021B.E. Computer Science
BMSIT, Bangalore
2014 – 2019Let'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.