Best fit: AI Product Engineer · Data Engineer · Full-Stack Engineer
I build AI products, data systems, and workflow automation from prototype to production.
Co-founded Xonects and built the product architecture from the ground up. Previously owned analytics pipelines and reporting systems for 8+ e-commerce clients at Datadice, delivering measurable ROI.
Portfolio
AI work OS that connects email, tasks, and calendar across five apps to stop context-switching.
BigQuery pipelines and dashboards that cut reporting time by 50% and drove 20%+ ROI for 8+ e-commerce clients.
Multi-touch attribution system that gives marketing teams a math-based way to assign credit and optimize budget across channels.
AI-powered analysis app that turns a CSV upload into a structured client-ready report with charts and recommendations in minutes.
Shipped a cross-context AI system and real-time sync engine connecting five productivity apps in one place.
Built with 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
Architected the multi-app OAuth integration layer. Built the real-time sync protocol between five apps. Designed the Gemini-powered prompt chain that retains session memory across tools.
Connects Gmail, Outlook, Notion, Trello, and Google Calendar through a unified sync layer, enabling cross-app AI execution.
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. Spans clickstream simulation (Airflow), data modeling (BigQuery + Dataform), ML attribution (Random Forest + SHAP), and a live React dashboard.
Solo Project · Marketing Attribution · folosolo.com
Wrote Airflow DAGs that generate synthetic multi-touch journeys. Built Dataform models to prep journey-level training data. Trained a Random Forest and extracted Shapley values per channel. Built the React visualization layer for per-channel ROAS.
Pipeline runs entirely on cloud infrastructure — Airflow orchestrates Python jobs, BigQuery stores raw and modeled data, and the React dashboard queries precomputed Shapley scores.
Replaces last-touch attribution with a math-based model. Full documentation and live demo at folosolo.com.
Upload a CSV. Describe your brief. Get a client-ready analysis in minutes.
AI-powered analysis that turns any CSV into a structured report with statistics, charts, and AI recommendations — no code required. Built for consultants who need fast, defensible insights.
Solo Project · Data Analysis App · Unwritten Data
Built the complete app: Next.js frontend with Recharts, Supabase/PostgreSQL for persistence, and Gemini AI for structured insight generation.
Handles arbitrary CSV uploads, runs server-side statistics and AI inference, and returns structured reports in real time.
Consultants go from raw CSV to client-ready analysis in minutes — demonstrating product thinking and AI product 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 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.
Desh Deepak
CEO · GottData
Sanyukta can take a fuzzy product idea and turn it into a working system within days. The cross-context AI architecture she designed is genuinely innovative.
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 across 8+ e-commerce clients.
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.
Capabilities
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 mid-level and senior-track roles in AI product engineering, data engineering, and full-stack product development in Berlin or remote. Best way to reach me: email or LinkedIn.