Data Miner - Video Analytics/Deep Learning (1-4 yrs) Gurgaon/Gurugram (Systems/Product Software)
Advika Solutions
2d ago
source :

Job Description :

  • Data Miner for CRM Analytics engagement is expected to bring strong analytical capability, with preferable domain expertise in Machine Learning Algorithms and Deep Learning.
  • This role involves developing new tools / assets basis business requirements, adherence to delivery timelines, and creation of presentations / documents / reports as required by stakeholders.
  • The AM should possess good verbal and written communication skills

    Responsibilities :

  • Understand and articulate business problems into technical solutions providing the required output
  • Provide Deep learning solutions to the stakeholders using the given tools
  • Hands-on in the data management and data analysis tasks
  • Other responsibilities include :

  • Timely delivery of the project ensuring high quality deliverables and smooth day-to-day operations of project
  • Resolving all project-related issues
  • Adherence to all compliance requirements.
  • Providing inputs to the project manager
  • Must have skills :

  • Hand on experience on Python
  • Worked on Text, Images & Video Analytics
  • Other Essential skills :

  • Strong Python, Statistics, Applied Math and Algorithms skills required
  • Strong excel and PowerPoint presentation skills required
  • Hands on experience in creating database structures for data consolidation tasks is required
  • Hand on experience in OpenCV, Computer Vision, ANN, DNN, CNN and RNN (LSTM, GRU) using Tensorflow, Keras, TFlearn
  • Hands-on experience in data handling and a firm understanding of Probability and Stats to understand Na- ve Bayes, Gaussian Mixture Models, Hidden Markov Models, Text mining skills, NLP, Topic Modelling
  • Hands-on experience in building dashboards on Power BI / Tableau
  • Experience in statistical and data analysis in one or more of the following areas is preferred :

  • Data analytics with familiarity in quantitative techniques like logistic regression, decision trees, linear regression, segmentation etc.
  • Identifying and defining KPIs to track results, performance of operations, etc.
  • Other Requirements :

  • Highly driven, energetic, flexible, resourceful and ability to multi-task
  • Should be a fast learner and a self-starter.
  • Must possess excellent communication, documentation and presentation skills (both verbal & written)
  • Advanced Excel and PowerPoint skills
  • Flexible and adaptable to change and ability to multitask
  • Should be open to travel, both domestic as well as :
  • Professional analytics experience of 1 - 4 years, primarily associated with developing key assets using machine learning techniques.
  • Experience and familiarity with Customer lifecycle / customer strategy / CRM in any domain
  • Data Visualization techniques will be an added advantage
  • Educational qualifications :

  • Bachelor's Degree
  • Post Graduation, preferably MBA or MSc. In Stats or Eco or Business Analytics
  • ref :

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