Shashi Shankar

About Shashi Shankar

I completed my Master\'s of Science in Data Science Program at Indiana University. My areas of interest are applying deep learning to large-scale Natural Language Understanding/Programming, Computer Vision problems. Technical Skills:* Machine Learning (Regression and Classification algorithms, Clustering, Recommendation Systems, Dimensionality Reduction, Anomaly Detection, Time Series Analysis)* Deep Learning (TensorFlow, Keras Functional, and Sequential API, MXNet)* Python, R, SQL, HiveQL* Natural Language Processing/Understanding, Computer Vision* Apache Spark, Hadoop, Hive, MapReduce* Octave, Tableau, NumPy, SciPy, pandas, scikit-learn, PIL* Statistical Modeling, Hypothesis Testing, A/B Testing* AWS Sagemaker, Glue, S3, EC2, AWS CLI, Amazon Machine LearningGitHub: https://github.com/proudhoosier

Experience

1. Data Science

   Machinify

   Nov 2022 — Present

Education

• Birla Institute of Technology, Mesra

  Bachelor of Engineering (BE), Computer Science

• Indiana University Bloomington

  Master of Science (M.S.), Data Science

  2016 — 2018

Skills

• R
• Machine Learning
• Apex Data Loader
• Salesforce.com
• Amazon Dynamodb
• Statistics
• Microsoft Powerpoint
• Scientific Computing
• C
• Gnu Octave
• Html
• Data Analysis
• Jupyter
• Sql
• Linux
• Hibernate
• Mapreduce
• Microsoft Azure
• Web Development
• Amazon Web Services (Aws)
• C++
• Soapui
• Matlab
• Nltk
• Soap
• Javascript
• Big Data
• Sosl
• Rstudio
• Hadoop
• Web Services
• Servlets
• Spacy
• Rest
• Force.com
• Tensorflow
• Java
• Hive
• Consulting
• Pandas