Alexander Piskotin Email & Phone Number

Berlin, DE

Tbilisi, Georgia

• DSP (Demand Side Platform)– Spearheaded the development of bid optimization algorithms for a DSP in AdTech solution– Successfully reducing CPC(Cost per Click) by 25% and CPM(Cost per Mile) by 75% in remarketing.
• Virtual Gifts Ranking– Led the development of a ranking algorithm for virtual gifts in chats – Increased user engagement by 25% and virtual gift spending per paying user by 18%
• DDA (Data-Driven Attribution)– Engineered and deployed a novel marketing campaign performance measurement algorithm using a Recurrent Neural Network– Achieved a 6% increase in eROI(expected Return on Investment)
• Machine Learning for Direct Marketing– Developed a machine learning solution that optimized email campaign efficiency– Reduced email volume by 50% without compromising engagement (less than 5% drop in clicks), thereby.
• Landing Page Optimization– Initiated a continuous testing framework for landing pages using a Multi-Armed Bandit algorithm– Boosted conversion rates by 15% overall and up to 30% in some channels
• Chat Copilot Implementation– Contributed to the team that implemented an LLM-driven chat copilot– Enhanced user interaction and operational efficiency. The project gained positive unit-economics since the first.

Moscow, Russia

• Real-Time Scoring System– Engineered and maintained a real-time scoring system that includes a feature store and models service. My work encompassed integrating models, designing an additional abstraction layer for.
• Captcha Solver Algorithm– Led the development and enhancement of a Captcha solver algorithm that significantly increased data update frequency– Improved the relevancy of the credit scoring data by providing more.
• Revenue/Profit Prediction Algorithm– Created a predictive algorithm for businesses’ revenue and profits estimation– Integrated as a B2B service providing targeting data for financial products advertisement
• Income Prediction Model– Developed and successfully integrated an individual’s income prediction model based on credit history data– Deployed as a profitable B2B solution
• Custom Credit Scoring Models– Designed and developed bespoke credit scoring models for diverse B2B clients– Passed all on-site validations and were integrated into clients’ credit scoring pipelines
• Machine Learning Utilities Package– Contributed significantly to the development of an internal machine learning utilities package– Greatly reduced time-to-market for new models and features development and research

Moscow, Russia

• Automation Tools Development– Developed and implemented a suite of automation tools for data collection in experimental environments– Significantly increased the number of samples gathered per a period of time, which.
• Experimental Data Analysis in Physics of Fluids– Designed and implemented various experimental setups on unique equipment stand. Collected and analyzed large sets of hydrophone data– Resulted in a publication and a.

Moscow, Russia

• Uplift Modelling for Direct-Marketing– Led the development of an uplift model for promocodes, strategically targeting customers whose engagement would yield a positive margin– This approach increased Average Revenue.
• Customer Segmentation Insights– Provided the direct marketing team with crucial insights by employing customer clustering based on RFM (Recency, Frequency, Monetary value) and basket analysis features, enhancing.
• Warehouse Digital Twin Development– Contributed to the creation of a digital twin model for the warehouse, enabling robust hypothesis testing and operational optimization
• Recommender System Baseline– Developed a baseline solution for a recommender system, setting the stage for personalized customer experiences and increased engagement
• A/B Testing for Data Science– Assisted in the design and analysis of A/B tests for the data science team, contributing to the validation and refinement of models and strategies through empirical data analysis