N

Nishikant Dhanuka

CTO

Amsterdam, North Holland, Netherlands15 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 15 years of experience in AI and Data Science.
  • Strong advocate for high-standard engineering best practices.
  • Expertise in Generative AI and customer-centric product development.
Stackforce AI infers this person is a Data Science Leader with expertise in AI-driven product development across multiple industries.

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Skills

Other Skills

Apache SparkPythonScalaRHadoopAnalyticsCRMSASBusiness AnalyticsBusiness AnalysisPredictive ModelingData AnalysisAnalysisStatistical ModelingPredictive Analytics

About

Data Science Leader with 15 years of experience in the field of AI. Passionate about building products that are not just innovative and AI focused, but also customer-centric. Having lead and being part of various AI/engineering teams over the years in some of the best organizations; I'm a strong advocate for velocity while also following high-standard engineering best practices. Recently I've found myself completely immersed in Generative AI. With the rapid pace of development in the field, I am excited about the potential it holds. Always open to connecting with professionals who share a similar passion for AI and Data Science.

Experience

15 yrs 6 mos
Total Experience
2 yrs 7 mos
Average Tenure
6 yrs
Current Experience

Prosus group

3 roles

Senior Director of AI

Promoted

Jun 2025Present · 1 yr

Director of Machine Learning

Promoted

Jun 2023May 2025 · 1 yr 11 mos

Head of Machine Learning Projects

Apr 2020May 2023 · 3 yrs 1 mo

  • Leading Machine Learning projects across the portfolio companies of Prosus, in various industries like classifieds, food delivery, fintech etc.

Leaseplan digital

Head of Data Science | Lead Data Scientist

May 2018Mar 2020 · 1 yr 10 mos · Amsterdam Area, Netherlands

  • As a part of the data leadership team, built the data science practice from scratch, to support digital transformation of LeasePlan.
  • Engaged with senior stakeholders to realize the value of Machine Learning through business impact
  • Grew the team to 10 members
  • Worked on exciting use cases like Predictive Maintenance, Residual Value, Car Recommendation Engine etc.
  • Lead the development of data science platform to deploy machine learning models to production

Booking.com

3 roles

Senior Data Scientist & Team Leader

Promoted

Jan 2018Apr 2018 · 3 mos · Amsterdam Area, Netherlands

  • Building, leading and working together with a world class team of data scientists, developers and product owners to deploy full-scale ML / AI system in production, along with hands-on contribution as senior data scientist.

Senior Data Scientist

Promoted

Sep 2017Dec 2017 · 3 mos · Amsterdam Area, Netherlands

Data Scientist

Jun 2015Aug 2017 · 2 yrs 2 mos · Amsterdam Area, Netherlands

  • Applying data science to solve interesting business problems
  • Built a real world recommendation engine using large scale matrix operations in spark
  • Identified relationships between hotels by building a network graph and applying community detection algorithms
  • Built neural machine translation model (deep learning) to translate hotel descriptions from English to other languages
  • Analyzed text data using NLP techniques
  • Conducted multiple A/B tests and analyzed results using statistical inference
  • Organized spark and python training for data scientists

The boston consulting group

Analytics Consultant

Feb 2012Apr 2015 · 3 yrs 2 mos · Dubai, United Arab Emirates

  • Part of 'Big Data and Advanced Analytics' expert network in BCG. Worked with clients to design holistic data strategy and implement analytical solutions to generate intelligence and market insights for the organization.
  • Telecom: Usage based segmentation, churn prediction model, social network analysis, campaign
  • management, big data diagnosis
  • Banking: Event driven and propensity models for cross-sell and up-sell of various banking
  • products
  • Travel & Tourism: Tourism statistics reporting framework and implementation, insight generation
  • using big data from hotels, airlines and other sources
  • Healthcare: Regression analysis to identify key drivers of increased heathcare cost and utilization
  • Public Sector: Strategic workforce planning model implementation

Dunnhumby

Analyst

May 2011Jan 2012 · 8 mos · Gurgaon, India

  • Worked with leading Retailers and delivered solutions in the areas of customer relationship management (CRM) from analysis of POS and loyalty card data.
  • Built customer loyalty segmentation using Recency Frequency Monetory (RFM) analysis
  • Created customer behavioral segmentation from over 100 lifestyle dimensions using techniques of principal component analysis and clustering
  • Built a logistic regression model to estimate the propensity of a customer to redeem targeted offers;thereby targeting the right customer with the right offer at the right time
  • Designed several targeting campaigns to retain and win back customers who are declining in loyalty
  • Built 'Promo Selecter' in SAS to customize flyers by monitoring the performance of SKUs on promotion

Cognizant technology solutions

Associate, Enterprise Analytics Practice

Aug 2009Apr 2011 · 1 yr 8 mos · Gurgaon, India

  • Consulted top 5 global pharmaceutical companies on Sales Force Effectiveness (SFE) strategy and leveraged data analytics to administer and design Incentive Compensation plans to improve performance
  • Goal setting, payout curve, incentive compensation plan, portfolio performance, incentive analytics platform, performance reports

University of waterloo

Research Intern (Database Group)

May 2007Jul 2007 · 2 mos · Waterloo, Canada

  • 'Query processing in probabilistic and uncertain databases'
  • Proposed a sampling and counting algorithm based on Markov Chain Monte Carlo (MCMC) method
  • Designed a system in java swing to process the probabilistic formulation of top-k queries in uncertain databases

Education

Indian Institute of Technology, Bombay

Dual Degree (B. Tech + M.Tech) — Computer Science & Engineering

Jan 2004Jan 2009

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