Jitendra Varma

Jitendra Varma Email and Phone Number

Data Scientist @ Expedia | Doctoral Degree Candidate | AWS Certified Machine Learning - Specialty | Microsoft Certified Azure Data Scientist Associate @ Expedia Group
seattle, washington, united states
Jitendra Varma's Location
Gurgaon, Haryana, India, India
About Jitendra Varma

Jitendra is a data scientist with extensive experience in creating end-to-end predictive analytics solutions using advanced statistical models, machine learning, and deep learning methods.Jitendra has developed solutions for Digital Transformation, Analytics Capabilities and Cognitive Automation for a variety of industries, including Insurance, Supply Chain, Pharmaceuticals, Travel, FMCG, and Electrical Power.Jitendra has created scalable and efficient analytical models that can be deployed and consumed in real time to generate actionable insights.Jitendra translated machine learning results into business value and insights for stakeholders using simple business-centric language and data visualisation.Jitendra has used data science methods to generate and test hypotheses, as well as perform analytical deep dives to identify problems, opportunities, and actions that must be taken.Jitendra has the ability to work with structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets.

Jitendra Varma's Current Company Details
Expedia Group

Expedia Group

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Data Scientist @ Expedia | Doctoral Degree Candidate | AWS Certified Machine Learning - Specialty | Microsoft Certified Azure Data Scientist Associate
seattle, washington, united states
Employees:
30483
Jitendra Varma Work Experience Details
  • Expedia Group
    Machine Learning Scientist Iii
    Expedia Group Jul 2024 - Present
    Gurugram, Haryana, India
  • Quantumblack, Ai By Mckinsey
    Data Science Consultant
    Quantumblack, Ai By Mckinsey Dec 2021 - Jul 2024
    Gurugram, Haryana, India
    Optimized equipment allocation in Open Pit Mining through mixed-integer linear programming and Digital Twin development for equipment movements, resulting in an 8% increase in total volume mined.Elevated a leading chemical industry player's RoS by 5% through pricing contract optimization using modern portfolio theory, portfolio simulation, and constrained optimization.Developed an ML-based Trade Promotion Optimization solution for recommending schemes across geography and product categories for an FMCG client, resulting in a 15% reduction in trade spend.Constructed a Dynamic Pricing model for retail fuel, incorporating micro-segmentation for competitors, estimating demand curves, and optimizing prices to maximize profits, resulting in a significant 0.6% increase in market share.
  • Mckinsey & Company
    Data Science Consultant
    Mckinsey & Company Dec 2021 - Jul 2024
    Gurugram, Haryana, India
    Optimized equipment allocation in Open Pit Mining through mixed-integer linear programming and Digital Twin development for equipment movements, resulting in an 8% increase in total volume mined.Elevated a leading chemical industry player's RoS by 5% through pricing contract optimization using modern portfolio theory, portfolio simulation, and constrained optimization.Developed an ML-based Trade Promotion Optimization solution for recommending schemes across geography and product categories for an FMCG client, resulting in a 15% reduction in trade spend.Constructed a Dynamic Pricing model for retail fuel, incorporating micro-segmentation for competitors, estimating demand curves, and optimizing prices to maximize profits, resulting in a significant 0.6% increase in market share.
  • Wns Global Services
    Data Science Consultant
    Wns Global Services Aug 2019 - Dec 2021
    Gurgaon, India
    - Accelerated Time to Insight for Contact Centers by developing a speech analytics solution for monitoring 100% of calls, resulting in a 40% annual cost savings- Operationalised ML based Lead Scoring model for digital advertising firm enabling ~30% faster revenue realization by reducing lead conversion time by ~15%- Developed an NLP-based recommendation engine for a pharmaceutical Competitor Insights portal, which resulted in a 20% increase in average user time spent on the portal- Enabled CPG client to get to market faster than competitors by developing an unsupervised algorithm for identifying emerging brands & trends in the beverage industry- Improved claim cycle time for a P&C insurer by automating rooftop hailstorm damage detection & claims estimation by using Computer vision techniques
  • Wns Global Services
    Data Science Intern
    Wns Global Services Aug 2018 - Aug 2019
    Gurgaon, Haryana, India
    - Optimized pharmaceutical product launch sequence to maximize revenue using non linear optimization methods & simulating market scenarios- Reduced email tickets average handling Time for a Travel Management firm by developing email categorization engine- Extracted rules for identifying potential fraudulent baggage claim for an commercial Airline using pattern recognition and decision tree
  • L&T Technology Service
    Data Scientist
    L&T Technology Service May 2014 - Jul 2017
    Mysuru Area, India
    - Developed an RFM-based customer segmentation model for a bank client to optimize marketing strategies.- Minimized unexpected power outages by using an ML model to predict switchgear failure and expected life.

Jitendra Varma Education Details

Frequently Asked Questions about Jitendra Varma

What company does Jitendra Varma work for?

Jitendra Varma works for Expedia Group

What is Jitendra Varma's role at the current company?

Jitendra Varma's current role is Data Scientist @ Expedia | Doctoral Degree Candidate | AWS Certified Machine Learning - Specialty | Microsoft Certified Azure Data Scientist Associate.

What schools did Jitendra Varma attend?

Jitendra Varma attended Manipal Globalnxt University, Udacity, Quantic School Of Business And Technology, Niit University, Gujarat Technological University, Ahmedbabd.

Who are Jitendra Varma's colleagues?

Jitendra Varma's colleagues are Linda Fikesová, Najma Anjum, Michaela Vezzaro, Sarah Kim, Pallavi Tandon, Araceli Cámara Gallego, Cedric Jo.

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