Welcome to Koba's freelance profile!
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
Location and workplace preferences
- Location
- Munich, Germany
- Remote only
- Primarily works remotely
Verifications
Freelancer code of conduct signed
Read the Malt code of conduct
Languages
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English
Native or bilingual
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German
Conversational
Categories
Skills (41)
- BigData
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Beginner Intermediate Advanced
- Data Science
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
- All
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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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
Acquired by Verisk in December of 2020.
Harris Blitzer Sports & Entertainment
Sports
Analytics Manager
Philadelphia 76ers
Sports
Fan Analytics Manager
Philadelphia 76ers
Sports
Business Intelligence Analyst
The Bancorp
Banking & Insurance
Statistics and Data Analytics Intern
• 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
• 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
• 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
• 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
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Education
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Master of Science in Business Analytics
Drexel University - LeBow College of Business
2016 -
Bachelor of Science in Economics
Drexel University
2014