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umut altun

@umutaltun

Senior Data Scientist at Wavera (Famefy), building a multimodal creative analysis pipeline and subscription LTV prediction system.

Italy

Message

At Wavera (Famefy), I architected a two-agent pipeline that scores ad creatives against observed performance and collects competitor creatives, replacing subjective review with structured assessments. I also built subscription LTV and renewal prediction on BigQuery pipelines over RevenueCat and AppsFlyer data, helping teams make profitability decisions within days of install.

At TapNation, I developed a Text2SQL agent for natural-language access to the data warehouse and built LTV prediction and Marketing Mix Modeling systems. Earlier, at UAhero, I designed a real-time bid and budget optimization engine; at P.I. Works, I replaced manual reporting with automated pipelines and developed telecom network optimization and anomaly pipelines.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Wavera (Famefy)

Jan 2026 - Present (9 months)

Architected a two-agent creative analysis pipeline and built subscription LTV and renewal prediction systems on BigQuery. Designed a multi-tier segmentation framework powering daily business dashboards.

Multimodal Vision RAG BigQuery RevenueCat Appsflyer Looker Power Law Fitting EMA Segmentation Forecasting

Senior Data Scientist

TapNation

Jan 2023 - Jan 2026 (3 years)

Developed an LLM-powered Text2SQL agent and built cohort-based LTV prediction systems with Monte Carlo sampling. Delivered revenue projection dashboards and led user-acquisition analytics for a company acquisition.

LLM Text2SQL LTV Prediction Monte Carlo AWS Lambda Marketing Mix Modeling Lightweight MMM Robyn Streamlit BigQuery

Data Scientist

UAhero

Jan 2020 - Jan 2023 (3 years)

Designed a real-time bid and budget optimization engine serving 10+ ad networks with adaptive algorithms. Built the measurement layer on MMP data for attribution reconciliation and reporting.

Real Time Bidding Budget Optimization AWS Lambda Appsflyer Adjust Attribution Event Ingestion Cohort Analysis

Data Consultant

P.I. Works

Jan 2018 - Jan 2020 (2 years)

Replaced manual reporting workflows with automated pipelines and developed radio network parameter optimization and anomaly detection systems for telecom clients.

Automation Data Pipelines Network Optimization Anomaly Detection Trend Analysis Reporting

Education

Degrees, certifications, and relevant coursework

Sapienza University of Rome

Master of Science, Data Science

2023 -

Activities and societies: Key courses: Statistical Methods in DS, Statistical Learning, Advanced ML, Algorithmic Data Mining, Big Data, Neural Networks, Cloud Computing

Pursuing an M.Sc. in Data Science with all exams completed; thesis focuses on 5G/6G parameter configuration with agentic AI.