About

DataScienceLab

Why DataScienceLab ?

  • We are a team of passionate, creative data science professionals, willing to use our deep analytics expertise, to bring measurable business values to our customers

Honeybee

Honey Bees are our inspiration. Like they extract nectar from flowers, we are motivated to extract interesting business insights from data


DataScienceLab Core Team

DataScienceLab Leadership team has deep roots in analytics advisory, consulting and training


Preeti Ranadive Pandhu, Founder and Director of DataScienceLab

  • Expert analytics coach/mentor in India and Southeast Asia
  • Post Graduate in Statistics from University of Pune
  • More than 20 years experience in analytics domain with focus on analytics product development, training and consultancy
  • Worked as a lecturer, business analyst, research, IP and analytical QA and trainer
  • Worked with SAS and IDeaS (a SAS company) for more than 10 years
  • Part of team which built a billion dollar SAS product, Demand Planning and Optimization
  • Trained more than 3000 professionals/students across 8 countries on analytics, SAS, R, Python and Machine Learning
  • Achieved three international SAS certifications
  • Technical review of three books of US Publication on Data Science and related tools
  • Helped companies in building their Analytics CoE
  • Founded DataScienceLab in 2014 to help individuals and corporates to become 'Data Smart'


Javed Inamdar, Co-Founder of DataScienceLab

  • Expert in building cutting edge analytics products and solutions
  • 13+ years at SAS R&D before joining DataScienceLab in February 2019
  • Part of core team which built SAS Forecast Server, a SAS flagship product, which clocked more than billion dollar in sales since it's release in 2005
  • Managed Advanced Analytics Testing team in SAS R&D for 5 years, handling SAS products like Forecast Server, Enterprise Miner procedures
  • Adept in building and mentoring high performance teams
  • One of the highly rated trainers in SAS
  • Certifications
    • SAS Certified Advanced Analytics Professional
    • SAS Certified Statistical Business Analyst
    • SAS Certified Predictive Modeler
    • SAS Certified Base Programmer
    • Project Management Professional (PMP)
  • Areas of Expertise
    • Forecasting
    • Predictive Modeling
    • Deep Learning
    • AWS and Azure Machine Learning
    • Comfortable using any analytics tool (SAS, R, Python, KNIME, Rapid Miner etc.)