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Nazar – Python, Machine learning, Solution architecture, experts in Lemon.io

Nazar

From Poland (GMT+2)

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Data ScientistSenior
Tech lead
Hire developer
12 years of commercial experience
Blockchain
Consumer services
Gambling
Healthcare
Legal tech
Retail
Sports
Telecommunications
C2C
AI software
Customer support software
Enterprise software
Mobile apps
Lemon.io stats

Nazar – Python, Machine learning, Solution architecture

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.

Main technologies
Python
6 years
Machine learning
6 years
Solution architecture
12 years
API
12 years
Additional skills
Big Data
Pandas
GraphQL
Flask
PostgreSQL
AI
Crypto
Microsoft SQL Server
Scikit-learn
Blockchain
Apache Airflow
NLP
AWS
AWS Lambda
PyTorch
.NET
.NET Core
API testing
Ready to start
ASAP
Direct hire
Potentially possible

Experience Highlights

Head Data Scientist, Tech lead
Dec 2021 - Jun 20231 year 5 months
Project Overview

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.

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Responsibilities:
  • 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
Project Tech stack:
Python
PostgreSQL
Microsoft SQL Server
API
Flask
Machine leaning
Pandas
NLTK
Scikit-learn
DigitalOcean
GraphQL
Web scraping
ORM
AI
Big Data
Crypto
Blockchain
Senior Data Scientist
Aug 2019 - Dec 20212 years 4 months
Project Overview

Betting giant in Eastern Europe.

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Responsibilities:
  • 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
Project Tech stack:
Python
NLP
Scikit-learn
Machine leaning
AI
Pandas
NLTK
AWS
AWS Lambda
API
PostgreSQL
Microsoft SQL Server
Apache Airflow
Head of Data Science
Dec 2014 - Aug 20194 years 7 months
Project Overview

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
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Responsibilities:
  • 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
Project Tech stack:
.NET
Python
Machine leaning
Data Science
AI
NLTK
PyTorch
Pandas
API
Microsoft SQL Server
PostgreSQL
ASP.NET MVC
React
Senior Software engineer, Team lead
Dec 2010 - Nov 20143 years 10 months
Project Overview

There were 3 different projects:

  • Online leading FMCG store in Sweden
  • Football gaming portal
  • Mobile C2C app
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Responsibilities:
  • Was Responsible for the development, estimation, and delivery
  • Was in charge of Emergency support of platforms
  • Created CRM integration
  • Was responsible for Solution Deployment
Project Tech stack:
.NET
React
.NET Core
ASP.NET MVC
API testing
API
CSS
HTML
Xamarin
Microsoft SQL Server

Education

2014
Computer Science
Master
2017
Machine Learning
Specialization

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