(555) 432-1000,
Montgomery Street, San Francisco, CA 94105
Professional Summary

Self-motivated Decision Science Manager bringing proven leadership, organizational, and customer relations skills. Independently solved problems and kept teams on task to handle diverse business requirements.


Programming: Python, Pyspark & Spark, SQL, TensorFlow,Keras ,Hadoop, Bash, Shell, R.

ML Libraries: Scikitlearn, Scipy, numpy, dplyr, fitdistplus, PyMC,GPy/OPT, GLRM, Mclust, woeBinning, MLlib,pandas

Tools: Docker, GIT, JIRA,Confluence, Bitbucket

Visualization: Tableau, ArcGIS, ggplot2, seaborn, matplotlib, pyplot Platforms: AWS(EC2, EMR, ECR, S3, SageMaker, Athena, IAM), DataRobot,

Databases: PostgreSQL with GIS, MySQL, HIVE, SQLite, AWS Redshift , snowflake, Big Query


  • Project Coordination , Team Management, Technical Acumen, Gather Requirements, Relationship Development, Problem Resolution, Statistical Analysis, Machine Learning, Predictive Modeling, Business Reporting, System Engineering, Customer Experience and Customer Analytics expertise , Retail Experience , Marketing Experience
University of Connecticut Hartford, CT, Expected in 07/2016 Master of Science : Business Analytics And Project Management - GPA :
Birla Institute of Technology And Science Pilani, Expected in 06/2012 Bachelor of Science : Electrical, Electronics Engineering Technologies - GPA :
Work History
Infosys Ltd - Consultant
Chandler, AZ, 04/2020 - Current
  • Setup a rapid insights team for CBT and later devised strategies to improve efficiency and optimize group management through various project management and process improvement concepts like introduction and successful adoption of Jira for DS projects, Sprint Planning, Universal Query Platform, adoption of Python & Spark and Data Marts which significantly reduced time to insights and time spent in meetings leading to happy team and higher analysis per sprint.
  • Conducted monthly business review meetings with senior management to explain how behind the movement of KPIs and democratize insights generated.
  • Lead development of product recommendation and GMV estimation solution to prioritize items to move from US to CA markets .
  • Lead Automation efforts of multiple recurring reports bringing down time spent on reporting from 60% to 15%.
  • Developed algorithm to identify closest competitors for an item using NLP concepts like word2vec and cosine similarity using Tensorflow and Keras.
  • Supporting multiple stake holders with business analysis, documentation and data modeling.
  • Recruited, hired, trained and supervised staff of 3 and implemented mentoring program that offered positive employee engagement.
  • Prepared daily Seller Performance and Acquisition reports to assist business leaders with key decision making and strategic operational planning.
Infosys Ltd - Consultant
Columbus, IN, 01/2020 - 03/2020
  • Lead multiple teams for Analytics org of Men’s Fashion Retailer consisting of 3 onshore data scientist and 9 offshore analysts focusing on Customer Insights, Omni Channel, and Merchandizing.
  • Developed data marts and data model for Customer Insights and Omnichannel team to reduce time to insights and reporting.
  • Worked on key org level initiative called “Mission Control” lead by VP of Omni channel to identify potential cost cutting opportunities in Omni channel and identified saving potential of around $2MM by controlling clearance and split shipping.
  • Designed project plan and wireframe for Tredence’ s first ever Test and Learn solution that assist business in designing and measuring effectiveness of campaigns for retail stores.
  • Brought in additional revenue of $1 MM for Tredence in a span of 3 months by identifying opportunities within the client org and expanding the existing team size.
Gilead Sciences, Inc. - Senior Associate
New Jersey, NJ, 02/2018 - 12/2019
  • Lead two teams ( Customer Experience & Cross Border Trade Analytics) containing 1 Associate and 9 offshore analysts.
  • Collaborated and worked with top management consulting firms to map/identify customer trips in Walmart and later, for each identified trip, participated in CX workshops involving business partners and customers to identify the CX touchpoints and pain points.
  • Lead team in creating first ever executive reporting of customer centered shopping experience integrating customer & operational metrics from across company.
  • Designed multiple dashboards providing 10,000 feet CX view for CXOs to individual trip performance for divisional heads to drill down/RCA dashboards for managers. The dashboards consolidated different siloed CX initatives happening across org into one umbrella and one metric to measure and track.
  • Created new metric to overcome the shortcomings of Brand NPS, modeled entirely on Txn NPS ,operational and store demographics. 150+ models were created before wining model was finalized.
Initialized Capital - Associate
San Francisco, CA, 02/2016 - 12/2017
  • Lead team of 4 offshore analyst to provide end to end analytics & BI support for Customer Experience team of Walmart.
  • Redesigned CX measurement framework for store and pharmacy with new weights form survey models.
  • Created multiple models to solve Beta problems in customer science like impact of associate engagement, OSCA and PT/FT and checkout type on customer CSAT using regression and tree based algorithms.
  • For the first time in Walmart CX, introduced 2 step approach for store targets/goals ( Threshold and desired state) to solve the problem of stagnation of growth in CX scores. The model takes into consideration demographics, geography information, store attributes, shrinkage/theft and store past performance to determine achievable targets for store managers.
  • For first time in Walmart, created org wide dashboards that at peak was used by around 10 to 15K users (store and home-office both) on weekly basis to track CX performance scores against targets. Dashboard also provided self service capabilities for more advanced analytically savvy users, where one can perform RCA on CX to identify opportunities.
  • Coordinate with tech team to transition survey data and dashboards from business database to enterprise data-lake on HDFS/hive.

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  • Birla Institute of Technology And Science

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