Krishna Sai Vootla

Professional Experience: 1. Sentiment Extraction: Created a sentiment classification pipeline for product reviews. Cleaned the text reviews & transformed them into word embedding features. Trained & deployed Recurrent neural network architecture. 2. Multi-Modal Fully Convolutional Network for Semantic Segmentation: Fully convolutional network (FCN-32s) trained to semantically segment forest scene images with RGB and nir_color input images. The project was developed to help unmanned drones in smooth navigation. The model is trained and tested on still images of forest scenes. Intel Edison and Microsoft Kinect were used for proof of concept and prototype creation. Certifications: 1. Structuring Machine Learning Projects. (Credentials: https://www.coursera.org/account/accomplishments/verify/SWS7ML6DQ89J) 2. Sentiment Analysis in Python. (Credentials:https://www.datacamp.com/statement-of-accomplishment/course/285c1af464d0e83760842e7a17020c72926828f5)

Professional Experience: 1. Market Segmentation for ad Campaign: Built an end to end market segment classifier for each customer based on their shopping behavior. 2. Sales forecasting for black Friday sale Certifications: 1. Statistical Learning - Stanford Online. (Credentials: https://drive.google.com/file/d/1NLpvLZmh1M-wUjG4fkxx2LX01Pkr6W7-/view ) 2. Python A-Z: Python for Data Science with Real Exercises! ( Credentials: https://udemy-certificate.s3.amazonaws.com/pdf/UC-ZAIQ45JS.pdf ) 3. SQL - MySQL for Data Analytics & Business Intelligence ( Credentials: https://udemy-certificate.s3.amazonaws.com/pdf/UC-SE95FTH2.pdf )

Professional Experience: 1. Worked as an Analytics vendor for the leading retail company in the USA. (client has a retail store in every 5-mile radius of the USA, can't reveal the name due to NDA): Created & deployed multiple executive summary dashboards. 2. Part of daily insights team: Helped test client's new business propositions with A/B testing. Designed data pipelines for easier analysis & insights Certification: 1. Introduction to R ( Credentials: https://www.datacamp.com/statement-of-accomplishment/course/d5f057f64082b4212f5c65f602e8dcc4463f00c3) 2. Intermediate R ( Credentials: https://www.datacamp.com/statement-of-accomplishment/course/9d45665703b6d366794e1ba3a73fbdd3376733de) 3. Data Manipulation in R with dplyr ( Credentials: https://www.datacamp.com/statement-of-accomplishment/course/1d8d86faa76276fa065285f176f21d4f4f1b86c1) 4. Building Web Applications in R with Shiny ( Credentials: https://www.datacamp.com/statement-of-accomplishment/course/b7e148e6ab3c52c66d024bcf8bf3f367b91b4bff ) 5. Python A-Z: Python for Data Science with Real Exercises! ( Credentials: https://udemy-certificate.s3.amazonaws.com/pdf/UC-ZAIQ45JS.pdf ) 2. SQL - MySQL for Data Analytics & Business Intelligence ( Credentials: https://udemy-certificate.s3.amazonaws.com/pdf/UC-SE95FTH2.pdf )

Part of daily insights team: Created & deployed multiple executive summary dashboards to summarize essential metrics for the busisness

Sample Project: This is a sample app/web-tool that can be used by commercial banks for easy on-boarding of their customers. This app is equipped with all the features that are required for a full blown app. Link: https://github.com/krishnasaiv/Open-Bank-Account-Online