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I am a Data Scientist with 10+ years in analytics and 7+ years building end-to-end ML solutions. I own end-to-end delivery: translating ambiguous business questions into clear metrics, validated analyses and models, and decisions adopted by stakeholders. I enjoy generalist ML for classification/regression, similarity matching, segmentation, and decision-support tooling, with solid forecasting/time-series modeling, backtesting, and monitoring. I also contribute to GenAI initiatives and internal tooling, such as structured prompting and tool/function calling for analytics workflows. I work well with cross-functional teams and turn insights into practical commercial actions, from data quality improvements to actionable recommendations.…I am a Data Scientist with 10+ years in analytics and 7+ years building end-to-end ML solutions. I own end-to-end delivery: translating ambiguous business questions into clear metrics, validated analyses and models, and decisions adopted by stakeholders. I enjoy generalist ML for classification/regression, similarity matching, segmentation, and decision-support tooling, with solid forecasting/time-series modeling, backtesting, and monitoring. I also contribute to GenAI initiatives and internal tooling, such as structured prompting and tool/function calling for analytics workflows. I work well with cross-functional teams and turn insights into practical commercial actions, from data quality improvements to actionable recommendations.

Alexander Mokshanov

Data Scientist, Data Analyst, AI Engineer, +2

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I am a Data Scientist with 10+ years in analytics and 7+ years building end-to-end ML solutions. I own end-to-end delivery: translating ambiguous business questions into clear metrics, validated analyses and models, and decisions adopted by stakeholders. I enjoy generalist ML for classification/regression, similarity matching, segmentation, and decision-support tooling, with solid forecasting/time-series modeling, backtesting, and monitoring. I also contribute to GenAI initiatives and internal tooling, such as structured prompting and tool/function calling for analytics workflows. I work well with cross-functional teams and turn insights into practical commercial actions, from data quality improvements to actionable recommendations.…I am a Data Scientist with 10+ years in analytics and 7+ years building end-to-end ML solutions. I own end-to-end delivery: translating ambiguous business questions into clear metrics, validated analyses and models, and decisions adopted by stakeholders. I enjoy generalist ML for classification/regression, similarity matching, segmentation, and decision-support tooling, with solid forecasting/time-series modeling, backtesting, and monitoring. I also contribute to GenAI initiatives and internal tooling, such as structured prompting and tool/function calling for analytics workflows. I work well with cross-functional teams and turn insights into practical commercial actions, from data quality improvements to actionable recommendations.

Available to hire

I am a Data Scientist with 10+ years in analytics and 7+ years building end-to-end ML solutions. I own end-to-end delivery: translating ambiguous business questions into clear metrics, validated analyses and models, and decisions adopted by stakeholders. I enjoy generalist ML for classification/regression, similarity matching, segmentation, and decision-support tooling, with solid forecasting/time-series modeling, backtesting, and monitoring.

I also contribute to GenAI initiatives and internal tooling, such as structured prompting and tool/function calling for analytics workflows. I work well with cross-functional teams and turn insights into practical commercial actions, from data quality improvements to actionable recommendations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

Russian

Fluent

English

Advanced

Spanish; Castilian

Advanced

French

Intermediate

Work Experience

Data Scientist (ML, Analytics, Forecasting) at Fiddlehead Technologies

January 1, 2022 - Present

Owned end-to-end delivery across regions (NA, CE, ANZ): problem framing with planners, data QA, modeling, evaluation, and results communication. Improved demand-planning model accuracy (~3% WMAPE vs baseline) and reduced systematic bias by iterating model selection, cleaning rules, and evaluation design. Built and supported statistical and ML models for demand planning (ETS/Theta/Holt-Winters/ARIMA/SARIMAX; ML where appropriate). Created a repeatable evaluation suite: rolling-origin backtesting, KPI reporting, and an error-variability index to flag unreliable series. Developed fuzzy matching & deduplication pipelines (TF-IDF/cosine + string distance) to improve master-data quality for analytics and planning. Conducted customer segmentation analyses (clustering + PCA) and translated insights into actionable commercial recommendations. Built a prototype recommender using collaborative filtering with cosine similarity on a client–SKU interaction matrix to generate personalized product r

Data Scientist at TradeLock

January 1, 2017 - December 31, 2021

Developed and maintained sales forecasting across branches/products using Python, improving planning and inventory decisions. Built an ML model to infer product group code with ~97% accuracy, reducing manual work by ~20%. Built interactive apps for factorial profit analysis and price distribution visualization; supported pricing decisions (Plotly/Streamlit). Led a small delivery team (data engineer + analyst) to implement a KPI calculation system integrated with analytical and transactional platforms. Automated inventory norm calculations per warehouse, contributing to improved availability and 5–10% annual sales uplift (estimate).

Head of Analytics at TradeLock

January 1, 2012 - December 31, 2017

Built a delivery-cost optimization tool using Power BI / Power Query / OLAP / Excel, achieving ~10% annual delivery cost savings. Conducted sales and market analysis supporting assortment and pricing decisions; partnered with executive leadership. Automated budgeting workflows in Excel, reducing finance manual work and improving transparency.