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Koba Khitalishvili

Data Scientist and Developer

Works remotely from Munich

  • 48.1371
  • 11.5754
  • Suggested rate €200 / day
  • Experience 2-7 years
  • Response rate 100%
  • Response time 1 hour
Propose a project The project will begin once you accept Koba's quote.

This freelancer is available part-time (3 days per week) but hasn't confirmed their availability in over 7 days.

Part-time, 3 days per week

Propose a project The project will begin once you accept Koba's quote.

Location and workplace preferences

Location
Munich, Germany
Remote only
Primarily works remotely

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Languages

  • English

    Native or bilingual

  • German

    Conversational

Categories

Skills (41)

  • All
  • Beginner Intermediate Advanced
  • Beginner Intermediate Advanced
  • Beginner Intermediate Advanced
  • AWS
    Beginner Intermediate Advanced
  • R
    Beginner Intermediate Advanced

Koba in a few words

Data Scientist and Analytics Expert with a demonstrated history of working in the academia, finance, sports, and marketing technology industries. Offer over 5 years of experience in creating data driven products and analyses that maximize revenue, boost operational efficiency and advance organizational business intelligence. Proficient in manipulating big data and utilizing cloud services like AWS and GCP. Considered engaging storyteller and valuable teammate.

Experience

Jornaya

Banking & Insurance

Data Scientist

Conshohocken

July 2019 - Today (3 years and 2 months)

Acquired by Verisk in December of 2020.

Harris Blitzer Sports & Entertainment

Sports

Analytics Manager

Philadelphia, Pennsylvania

December 2017 - July 2019 (1 year and 7 months)

Philadelphia 76ers

Sports

Fan Analytics Manager

Greater Philadelphia Area

August 2017 - December 2017 (4 months)

Philadelphia 76ers

Sports

Business Intelligence Analyst

Greater Philadelphia Area

January 2017 - August 2017 (7 months)

The Bancorp

Banking & Insurance

Statistics and Data Analytics Intern

Wilmington

May 2016 - July 2016 (2 months)

• Identified primary sources of customer complaints by text mining a public CFPB dataset with 600k+ records and categorizing the types of issues using Latent Dirichlet Allocation algorithm in R

• Discovered that merchant fraud scheme and mobile transactions accounted for 1/5th of disputes by analyzing over a million transactions in R and building an automated dashboard in Microsoft Power BI

• Developed a working prototype of a predictive random forest classification model that computed probability of a dispute for each transaction with 89% accuracy

• Helped the call center improve efficiency by automating tasks such as time keeping, data conversion, data entry and analysis by using Pivot Tables and VBA in Excel

Curalate

E-commerce

Business operations intern

Philadelphia, United States of America

June 2014 - September 2014 (3 months)

• Introduced the use of AWS for business operations and helped develop python code that automated day to day tasks such as commission calculation, email alerts, and data collection using 3rd party APIs for Gmail and Salesforce

• Built a real­time dashboard of sales team performance using Javascript, Python, SQL, and Visualforce which replaced a visualization service that cost 24k$ annually

• Designed webscrapers using Python that collected data from Google.com and Instagram.com about potential leads

Education