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1

analytics consultant

  • Was involved in supporting Genpact A&R across various verticals such as BFSI,CPG,HMS & FMCG.  
  • Extensive hands on experience using Taleo HR functional module: Career section configuration, recruitment & employee profile creation.
  • Sourcing the candidate to on-boarding the candidate including taking HR round of interview, get the other (technical) interviews aligned, salary negotiations, offer letter roll out and finally documentation. Also, taking care of positioning and fitments.  
  • Update hiring matrix and status reports on a regular basis.  
  • Develop strong working relationships with key business champions and hiring managers to understand talent needs. 
2

analytics consultant

  • Sourcing talent through Naukri, Monster, LinkedIn Etc and talking to them on different open job opportunities across tech and non-tech roles. 
  • Providing a great candidate interview experience and rolling out job offers to the selected candidates. 
  • Co-ordinating recruitment drives in office and in-campus. 
  • Talking to the leadership team in understanding different job roles and the scope of the roles. 
  • Took up hands-on Data Science training which included working on programming languages like SQL, python, Rprogramming. 
3

analytics consultant

  • Predicted real time seats utilisation pattern across 50+ offices located in various parts of the US. Used daily badge data, HR data, Employee information for helping business in their real estate investment strategies and capacity planning.
  • Helped CxOs, LOBs Head, Tower planners working from different cities and countries in enhancing organisation performance and reducing costs.
  • Performed behaviour analysis with the help of Time Series and Clustering analysis for the entire office ecosystem – Units, Workstations, Meeting rooms, Conference for past and present, helping corporate team to learn workplace utilisation in real time.
  • Developed Tableau dashboards depicting periodic and geographical level insights on all properties (leased and owned) to provide sustainable competitive advantage recommendations.
  • Used SAS data steps and procedures – Infiles, Proc Import, Proc Freq, Proc Summary, Proc Report, Proc Sql, Export, ODS, and so for creating and maintaining secure datasets, data tables and reports.
4

analytics consultant

  • Developed an ensemble (XGBoost + Random Forest) model on Python to predict failure of network optimization service devices using cross-section data, and deployed model on Google Cloud Platform
  • The model enables the client to capture 40% of failures that will happen in the next eight weeks in the top two percentile of prediction scores
  • Created a Tableau dashboard that provides insight into the root cause of failure for each device
  • Developed module to identify the hard disk failure using the service request conversation between   customer and support team using NLP techniques
5

analytics consultant

  • Developed hard disk failure prediction model using the sensor (telemetry) data
  • Used NLP techniques for customer name (hierarchical) cleanup for a networking client