Open to opportunities

Amey Gawade

@ameygawade

Message

Analytics-focused data scientist specializing in experimentation, dimensional modelling, and marketing growth.

United Kingdom

Message

What I'm looking for

I seek roles where I can lead experimentation and analytics engineering, build governed metrics and self-service analytics, and drive measurable growth alongside cross-functional teams.

I am an analytics-focused Data Scientist with 10+ years' experience in growth and marketing, skilled at designing A/B and geo-experiments, causal inference with PyMC, and building SQL-based dimensional models and governed semantic/metrics layers. I turn complex data into clear, trustworthy insights at scale, having improved targeting accuracy, ROAS and decision speed through CUPED variance reduction, ML workflows, and standardized metrics.

I've productionised ML workflows with Airflow, MLflow, Docker and FastAPI, delivered self-service analytics via Looker and Power BI, and led pricing, promo uplift and attribution analyses that drove measurable commercial impact. I communicate effectively with stakeholders to operationalize CAC, LTV, ROAS and funnel metrics and enable data-driven growth.

Experience

Work history, roles, and key accomplishments

Current

Freelance Data Scientist

Current

Freelance

Oct 2024 - Present (1 year 2 months)

Designed A/B and geo experiments using Bayesian inference (PyMC) and built acquisition, churn and LTV models that improved targeting accuracy by 18% and increased ROAS by 15%. Engineered SQL-based dimensional models and semantic layers on cloud warehouses, reducing manual data prep by 60% and enabling self-service analytics.

Python SQL Snowflake Airflow MLFlow Docker fastAPI Looker Studio

Data Scientist

Anagram Data Systems

Sep 2023 - Oct 2024 (1 year 1 month)

Built marketing mix models on GCP quantifying channel impact and reallocations that improved ROAS by 12% and developed reusable SQL models and dashboards serving 18+ stakeholders via self-service reporting. Productionised ML workflows with Airflow, MLflow, Docker and FastAPI to increase reliability and traceability.

GCP Python SQL Airflow MLFlow Docker fastAPI Looker

Deputy Category Manager

Atul Ltd.

Jan 2020 - Sep 2022 (2 years 8 months)

Led pricing, promo uplift and A/B analytics implementing ML baselines that increased category sales by 22% and built Tableau dashboards reducing manual reporting by 50%, speeding marketing decisions.

A B Testing Python R Snowflake Tableau MLFlow Causal Inference Time Series

Business Analyst

Nippon Paint

Dec 2018 - Jan 2020 (1 year 1 month)

Analysed performance using Python and SQL and delivered Tableau dashboards on CAC, funnel and revenue KPIs that increased marketing ROI by 11% and built segmentation frameworks improving digital engagement and conversion by 14%.

Python SQL Tableau Segmentation Attribution CAC Funnel Analysis

Assistant Manager

Saint-Gobain

Dec 2014 - Dec 2018 (4 years)

Created Power BI and Tableau dashboards for channel and campaign KPIs, increasing data accuracy by 35% and standardising reporting to inform campaign strategies that boosted channel effectiveness by 10–12%.

Power BI Tableau SQL Stakeholder Management Data Visualization