![Nazar – Python, Machine learning, API, experts in Lemon.io](https://storage.googleapis.com/crm-lemon-io-bucket-storage/blurredPhotos/302336e6-f375-41d7-8c11-317df38e65cb.png)
Nazar
From Poland (GMT+2)
13 years of commercial experience
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Nazar – Python, Machine learning, API
As Head of Data Science, Nazar has over 10 years of experience developing and implementing anti-fraud solutions and machine learning models for Web3, cryptocurrency, and iGaming. He has honed his skills in conceptualizing and executing data science strategies, enabling organizations to stay ahead of the curve in an ever-evolving landscape.
Beyond Nazar's technical prowess, he has exceptional leadership abilities: he is adept at fostering collaborative environments and driving cross-functional teams toward shared objectives.
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Potentially possibleExperience Highlights
Head Data Scientist, Tech lead
It is a cross-chain peer-to-peer reputation protocol. Utilizes page rank algorithm to score and build a reputation across any entity on the internet. Unless competitors, the cold start problem is solved by analyzing more than 50M profiles, tweet history, and connections.
- Was in charge of 100GB dataset, 50M profiles, 10K scored projects, market-leading scoring, reports sold to tier1 projects
- Was responsible for SOTA NFT, Token price forecasting (0.72 F1 score)
- Made customer segmentation, targeting, and acquisition models based on Pagerank and one-hand connections on top competitors' 200M social graph connections
- Identified and interpreted trends in complex datasets
- Was in charge of popularity, Influence score, and forecast validation, 1M+ tweets processed (Intent recognition, NER, sentiment extraction)
- Managed a team of 10+ team members
- Made 8 data sources and scraped pipelines
Senior Data Scientist
Betting giant in Eastern Europe.
- Was in charge of 50TB Data source, 20M Profiles, was organizing and managing structure and pipelines for feature store
- Advanced SQL feature selection and aggregation, multi-database environment
- Made client behavior analysis, forecasting, transaction scoring, LTV, affiliate marketing, antifraud detection, user multi-accounting, and recommendation
- Built an ML anti-fraud model that overperforms (approx 230%) all other models in terms of revenue generation
- Managed a team of software and data engineers for full-circle product feature implementation
- Made new product feature proposition and MVP for casino transaction scoring (approx 1.5M USD per month)
- Was responsible for Cross-department communication and data-feed creation to solve other department needs
Head of Data Science
There were around 10 different projects:
- Ericsson, B2B client support system, with argent ticket management, Finding - the best feet for the problem across 5000 engineers, Automatic Q&A system, similar case detection
- Cancer Analysis and Treatment Based on bigdata
- Conversational bots
- Document classification and problem area recognition for lawyers
- Recommendation engines
- Was leading the Data Science department with 12+ Team members
- Was leading 2-3 projects in parallel as a lead data scientist
- Created 20+ MVPs and concepts in different niches like HealthTech, FinTech, AdTech, Legal, Marketing, Sales
- Made Cancer Analysis and Treatment on R
- Was in charge of customer segmentation and LTV, cross-sale, and recommendation engine
- Made Conversational bot, Intent recognition, and Compliance Audit powered by Advanced nlp approach
- Was responsible for Time series forecasting and price prediction
- Was in charge of high-priority task classification, over 500+ engineers based on their skills and previously solved issues
Senior Software engineer, Team lead
There were 3 different projects:
- Online leading FMCG store in Sweden
- Football gaming portal
- Mobile C2C app
- Was Responsible for the development, estimation, and delivery
- Was in charge of Emergency support of platforms
- Created CRM integration
- Was responsible for Solution Deployment