Open to opportunities

Marina Sadyki

@marinasadyki

Message

Applied Senior Data Scientist building production ML and Generative AI that drives measurable business impact.

United States

Message

What I'm looking for

I’m looking for a business-focused team where I can operationalize ML and Generative AI in production—building forecasting, pricing, and NLP/LLM workflows with strong MLOps (monitoring, deployment, experimentation) and measurable impact.

I’m an Applied Data Scientist with 6+ years of experience designing, deploying, and operationalizing machine learning and AI solutions that drive measurable business impact. My work centers on predictive analytics, forecasting, customer intelligence, pricing optimization, NLP, and Generative AI applications—always translating business problems into scalable ML systems.

In my current role as Sr Data Scientist, I deploy ML forecasting models for demand prediction across 20K+ SKUs, build customer segmentation and recommendation models that increase campaign conversion by 35% and average order value by 12%, and implement pricing optimization and demand forecasting that improve gross margin by 6.5% and boost category sales by 14%. I also develop automated ML pipelines using Airflow and MLflow, and support the full AI lifecycle—experimentation, model monitoring, inference workflows, versioning, and deployment strategies—so predictions land in operational systems.

Earlier, I built store- and collection-level forecasting models that reduced inventory holding costs by 18% and increased sales by 10%, applied NLP and semantic analysis to identify churn drivers (reducing churn by 5%), and supported A/B testing to validate impact. Before that, as Analytics Team Lead, I led national-scale analytics development and anomaly detection on multi-terabyte datasets, strengthening my focus on reliability, governance, and decision-ready outputs.

Experience

Work history, roles, and key accomplishments

Current

Sr Data Scientist

Current

ITsBizNet - IT Services Business Network

Jan 2026 - Present (5 months)

Deployed ML forecasting models across 20K+ SKUs and built customer segmentation and recommendation systems, increasing campaign conversion by 35% and average order value by 12%. Implemented pricing optimization and automated ML pipelines using Airflow and MLflow, improving gross margin by 6.5% and increasing category sales by 14%.

Demand Forecasting Customer Segmentation Recommendation Systems Pricing Optimization Airflow MLFlow Model Monitoring NLP Semantic Search

Data Scientist

MIUZ Diamonds

Apr 2025 - Jan 2026 (9 months)

Designed and deployed store- and collection-level forecasting models, reducing inventory holding costs by 18% and increasing sales by 10% via proactive out-of-stock prevention. Built clustering-based customer segmentation improving campaign effectiveness by 35%, and used NLP/semantic analysis to identify churn drivers and reduce churn by 5%.

NLP Semantic Analysis Churn Modeling Pricing Analytics A B Testing Feature Engineering Customer Intelligence Text Analytics

Data Scientist

Lezgin Analytics

Feb 2023 - Apr 2025 (2 years 2 months)

Developed and deployed 35+ analytical and ML models using Python and SQL, increasing customer lifetime value (CLV) by 25%. Delivered pricing and demand models driving a 20% increase in monthly revenue and a 30% improvement in marketing conversion rates, and supported CI/CD model deployment using Git-based version control.

Python SQL Pricing Optimization Demand Forecasting A B Testing

Analytics Team Lead

Department of Internal Trade

Dec 2015 - Oct 2022 (6 years 10 months)

Led development of a national Tax-Free transaction system, increasing shopping transactions by 75% nationwide. Analyzed multi-terabyte track-and-trace data to detect anomalies, trends, and compliance risks, and built analytical frameworks and models supporting $10M+ investment decisions.

Big Data Analytics Python SQL Anomaly Detection Dashboarding Statistical Analysis Data Modeling

Business Data Analyst

Government of the Republic of Dagestan

Mar 2013 - Oct 2015 (2 years 7 months)

Implemented an analytics platform for federal support to industry towns, increasing federal funding allocation by 60% and improving the investor rating for the Republic of Dagestan. Collected and manipulated large industrial and macroeconomic datasets using MS Excel to support analytics initiatives.

Analytics Platforms MS Excel Data Manipulation Industrial Analytics Funding Allocation Analytics Reporting

Business Data Analyst

Department of Trade and Services of Moscow

Aug 2012 - Mar 2013 (7 months)

Developed quantitative models to support a vending machine expansion strategy, increasing placements by 30% and generating $1M in annual revenue. Produced model-driven outputs to guide operational and expansion decisions.

Quantitative Modeling Data Analysis MS Excel Forecasting

Assistant to Key Account Manager

LVMH (Parfums Christian Dior)

Feb 2010 - Sep 2011 (1 year 7 months)

Performed sales and trend analysis in advanced Microsoft Excel using pivot tables and functions. Supported purchase planning, sales forecasting, and payment control activities to enable timely commercial operations.

MS Excel Pivot Tables Sales Forecasting Trend Analysis Data Reporting