Vignesh Shenoy

About Vignesh Shenoy

11 years of experience into the field of data science & machine learning, enabling organizations to understand the business and take data driven decisions• Major role is to interact with stakeholders to understand the scope of business problem, provide insights/ recommendations by performing descriptive, predictive and prescriptive analytics• Hands on experience in predictive modelling, machine learning and business intelligence• Business Domain Knowledge: Internet, FinTech, Finance, Insurance, Reinsurance & Consulting• Technical Skills: Database: Microsoft SQL Server, Teradata, Google BigQuery Programming: R, Python, Spark (SparkSQL & PySpark), TensorFlow & Keras Automated Machine Learning Tool: DataRobot BI Tools: Tableau, Looker Cloud Platform: GCP, Palantir Foundry Other Tools: Knowledge Seeker, Microsoft Office Machine Learning Exposure: Regression Modelling, Dimensionality Reduction techniques, Classification techniques, Unsupervised Learning, Neural Nets/Deep Learning, Boosting Algorithms, NLP & Text Analytics, Ensemble Methods, Time Series Analysis & Association Analysis• Part of data science tech interview panel of PayPal and prior companies (both for entry level and senior roles)

Experience

1. Google

   Present

Education

• The National Institute of Engineering, Mysuru

  Bachelor of Engineering (B.E.), Electronics and Communications Engineering

  2010 — 2014

• Indian Institute of Science (IISc)

  Proficience Course - Centre for Continuing Education, Data Science/Analytics

  2017 — 2020

• Indian Institute of Management Bangalore

  Executive Education Programme, Organizational Leadership

Skills

• Predictive Modeling
• Microsoft Excel
• Data Warehousing
• Machine Learning
• Predictive Analytics
• Tensorflow
• Statistical Inference
• Microsoft Office
• Regression Models
• Python
• Business Intelligence
• Tableau
• R Programming
• Sql
• Qlikview
• Dbms
• Teamwork
• Sas Programming
• Hypothesis Testing
• Data Analysis
• Data Structures