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Gaurav Singhal

Senior Data Scientist with 12+ years experience

Can work in or around Amsterdam

  • 52.374
  • 4.88969
  • Suggested rate €700 / day
  • Experience 7+ years
Propose a project The project will begin once you accept Gaurav's quote.

This freelancer is available full-time but hasn't confirmed their availability in over 7 days.

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

Location and workplace preferences

Amsterdam, The Netherlands
Can work onsite in your office in
  • around Amsterdam and 50km


Project length
Would prefer:
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
Would prefer to avoid:
≥ 6 months


Freelancer code of conduct signed
Read the Malt code of conduct

Verified email


  • English

    Native or bilingual

  • Italian



Skills (8)

Gaurav in a few words

Highly experienced and versatile Data Scientist with over 10 years experience managing projects and teams, architecting solutions, and publishing original, cutting-edge research. Throughout my career I worked at the intersection of computer science, statistics, and public policy. As a data scientist I uncover signals hidden in complex datasets using machine learning, mathematical modeling, and rich visualization. However as a solution architect, I seek to give data 'a voice' - letting it speak for itself - to ultimately create practical tools and applications that meaningfully empower individuals and organizations.

Most recently I was Founder & CEO of Arboreum, a fintech+AI startup bringing trade-finance to the last mile. Previously I was Lead Data Scientist at the UN World Food Programme and a Machine Learning engineer with Accenture Technology Labs. I also spent 3 years in academia first as an econometrics PhD student and then at a think tank studying global vaccine supply chains. I still actively engage in academic projects with collaborators at Oxford and Princeton. I have full-stack Python and R experience, having both turned laboratory concepts into code and pushed out production systems, and specialize in casual-ML, spatio-temporal modeling, and Bayesian methods.




Founder & CEO

Amsterdam, Netherlands

March 2020 - Today (2 years2 years and 2 months)

Co-founder of a social-enterprise using swarm-intelligence, machine-learning, and blockchain to create completely decentralized credit systems, allowing individuals to assess risk, receive loans, and earn interest on savings without banks or other financial intermediaries. We are striving to create a future with not only 100% financial inclusion, but also minimal barriers to capital, empowering individuals to take their future in their own hands and seeding sustainable cycles of opportunity.


Civic & Social Organizations

Lead Data Scientist

Rome, Metropolitan City of Rome, Italy

September 2014 - September 2018 (4 years4 years)

I led a team that transformed how WFP gathered, measured, and disseminated information on the food security of nations during times of war, climate shocks, and other extreme events. We devised ways to provide near real-time information on food prices, food security, and scarcity of essentials using a combination of mobile-based surveys, call-detail records, satellite imagery, and crowd-sourcing. It was and continues to be an immense challenge, comprising original research in social statistics, applied research in a multitude of mathematical modeling domains (econometrics, simulation, machine learning, etc), and building practical tools and infrastructure aimed at empowering individuals in the field.

William Davidson Institute at the University of Michigan


Junior Fellow

Ann Arbor, MI, USA

August 2013 - August 2014 (1 year1 year)

I researched and modeled vaccine and essential medicine supply chains for rural public health clinics under a grant from the Bill & Melinda Gates Foundation. I delivered two projects. The first, an impact evaluation study on mobile-phone-based inventory systems, required field data collection in the tribal areas of Arunachal Pradesh, India. The second project comprised a model and recommendation system for minimizing stockout at public health clinics in Tanzania via trans-shipment of essential medicines between neighboring clinics.

Accenture Technology Labs

Banking & Insurance

Machine Learning Engineer

March 2010 - June 2011 (1 year1 year and 3 months)

Lead developer for a machine-learning based work-queue optimization tool for health payers, that automatically detected, categorized, and prioritized manual claim adjudication rework, an industry first, and a novel application within the field of analytics. I also researched active learning and multi-classification SVMs as a research-programmer assisting with publications. The resulting conference paper was co-authored and presented by me at the International Journal Conference on Neural Networks


Consulting & Audits

Analyst - Health & Public Service

July 2007 - February 2010 (2 years2 years and 7 months)

As an analyst in Accenture's Health Payer practice I engaged in several projects ranging from IT to strategy. Most notably, I capped my consulting career as the Lead Statistical Analyst for Accenture's 2009 High Performance Metrics Study for Health Payers, where I collected and profiled operating and financial performance across 517 different measures for health plans across the country. I was the primary author of the resulting white paper, and presented findings to C-level staff at several clients.

General Motors


Research & Development Intern

May 2005 - August 2006 (1 year1 year and 3 months)