Nodar O.

About Me

Nodar is a Data Scientist with a strong software development background in Python, advanced analytics algorithms, tools and technologies - embracing big data, obsessing over performance and scalability, and striving to deliver insights and recommendations as fast as possible. He leverages the latest techniques in machine learning across computer vision, sentiment analysis and recommendation systems to optimize decision-making.

Database

Other

Work history

UpStack
UpStack
Data Scientist
2022 - Present (3 years)
Remote
  • Design and build production-level machine learning systems for clients across different industries.

  • Prepare documentation, reports, and visualizations to communicate complex data/analyses to users.

  • Identify, research, interpret, group, source, manipulate, and enrich multiple structured and unstructured data assets to facilitate effective analytics.

Intrro
Intrro
Data Scientist
2021 - 2022 (1 year)
Tbilisi, Georgia
  • Built a best-in-class job matching system through all phases of development - design, training, evaluation, validation and implementation.

  • Developed and deployed several data enrichment pipelines to improve matching processes on the project.

  • Worked on optimizations and improvements to existing solutions utilizing 3rd-party libraries and solutions.

Bestlist
Bestlist
Data Scientist
2021 - Present (4 years)
Tbilisi, Georgia
  • Designed and built a new search engine for Bestlist - working on the whole search flow from start to finish.

  • Developed new solutions to scrape and process large data points and data sets in real-time.

  • Built and deployed a named entity recognition (NER) model to enhance product identification on the search engine.

Delivery Hero
Delivery Hero
Data Scientist
2021 - 2021
Berlin, Germany
  • Developed a time series-based anomaly detection model with a similarity measure between time series.

  • Implemented solutions to find the best allocation of campaigns through A/B testing.

  • Identified and indicated the causal effect of marketing campaigns on the project.

MaxinAI
MaxinAI
Senior Data Scientist
2019 - 2021 (2 years)
Tbilisi, Georgia
  • Led a team of data scientists to design and deploy a new question-answering system with an automated document processing workflow.

  • Scraped and processed IRS "Form 990" with a complementary query system for information retrieval.

  • Designed and implemented a CV-job description matching solution - writing, creating and interpreting complex queries on the project.

Credo Bank
Credo Bank
Data Scientist
2018 - 2019 (1 year)
Tbilisi, Georgia
  • Designed and deployed a new credit scorecard model for the bank.

  • Delivered and executed market basket analysis and enhanced the profitability of marketing campaigns on the project.

  • Developed and implemented analytics methods and processes to reveal new customer segments for Credo Bank.

Liberty Bank
Liberty Bank
Data Analyst
2017 - 2018 (1 year)
Tbilisi, Georgia
  • Performed data profiling activities to predict daily cash demands for ATMs for Liberty Bank.

  • Conducted data analysis processes using anomaly detection algorithms to eliminate outliers.

  • Designed, built and deployed custom data analysis models such as ARIMA(X), SARIMA(X), and EWMA.

Showcase

Data Scientist - Bestlist
Data Scientist - Bestlist
  • Designed and implemented a search engine focused on providing a user-friendly search experience.

  • Collected, cleaned, and filtered data to identify and rank relevant results.

  • Developed metadata for search results to enhance the user experience.

Data Scientist - Inttro
Data Scientist - Inttro
  • Developed a solution for employee referral projects, focusing on matching employee personas to job descriptions.

  • Designed a matching engine to assess candidate and job description similarity using millions of job descriptions.

  • Created a numerical representation of textual data through the collection and training of a large dataset.

Data Scientist - Anomaly Detection Model
Data Scientist - Anomaly Detection Model
  • Developed and deployed an anomaly detection and similarity measure solution for analyzing time series data.

  • Identified, collected, and filtered data between several unequal-length time series.

  • The solution focuses on anomaly detection and similarity assessment.

Education

1.  Python (Advanced)
2.  SQL (Advanced)
1. Python (Advanced) 2. SQL (Advanced)
HackerRank
2020 - 2020
1.  Advanced Python
2.  Scaling Python Data Applications with Dask
1. Advanced Python 2. Scaling Python Data Applications with Dask
Pluralsight
2020 - 2020
Doctor of Philosophy Computational Linguistics
Doctor of Philosophy Computational Linguistics
Georgian Technical University
2019 - Present (6 years)
1.  Machine Learning A-Z™: Hands-On Python & R In Data Science
2.  Data Science A-Z™: Real-Life Data Science Exercises Included
3.  Deep Learning A-Z™: Hands-On Artificial Neural Networks
4.  Data Visualization on the Browser with Python and Bokeh
5.  Interactive Python Dashboards with Plotly and Dash
6.  The Complete SQL Bootcamp
1. Machine Learning A-Z™: Hands-On Python & R In Data Science 2. Data Science A-Z™: Real-Life Data Science Exercises Included 3. Deep Learning A-Z™: Hands-On Artificial Neural Networks 4. Data Visualization on the Browser with Python and Bokeh 5. Interactive Python Dashboards with Plotly and Dash 6. The Complete SQL Bootcamp
Udemy
2018 - 2019 (1 year)
Master's Degree in Economics
Master's Degree in Economics
International School of Economics at Tbilisi State University
2014 - 2016 (2 years)