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Bharat Singh
Data Science, ML Engineer, Python, R Expert
  • Suggested rate
    €300 / day
  • Experience3-7 years
  • Response rate100%
  • Response time2 hours
The project will begin once you accept Bharat's quote.
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Location and workplace preferences
Frankfurt, HE, Germany
Remote only
Primarily works remotely

Project length

  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months

Business sector

  • Digital & IT
  • E-commerce
  • Education & E-learning
  • Consulting & Audits
  • Human Resources
+6 other

Internet of Things (IoT), Research, Software Publishing, Tech, Transportation, Telecommunications

Company size

  • 1 person
  • 2-10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
+2 other

1000 - 4999 people, ≥ 5000 people


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Expertise (35)
Bharat in a few words
I am a FinTech mathematician with several years of professional experience in asset management companies, IT consultancies and in the start-up environment. I am also a co-founder of IT, Consulting, FinTech Start-up services with a focus on data science and Machine Learning. My professional focus is in the areas of artificial intelligence, data science and data management.
I strive to achieve measurable value through AI-based solutions. I concentrate on managing complex data science projects and combine a high level of business understanding with strong implementation skills. I also like to support my project colleagues with "scripts", data modeling and other topics related to data.

Project 'Machine Learning for Bond Management',
Customer: an Asset Management Company (Fix-Income)
Roles: Machine Learning Engineer, Data Scientist, IT Consultant
Coordination and development of data science applications and associated dashboards for customer experience management, identification of measures to increase customer recommendation rates for bond trading and their impact on it. I have worked on Bond Trading System where I have done end to end Data Science and ML methods for three country data and compared with top 100 indices and stocks. I start with minimum data and one model, then expand to 3, then make expand to 9 for best fit. Other projects are on different rating of funds.
Technologies: Python, R , C++, SQL, Bloomberg API, Machine Learning (41 Algorithm modeled).

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  • Google

    Menlo Park, CA, USA

    September 1998 - Today   25 years
    If I had to sum up my life up to this point, I'd say it's been one heck of a ride...

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