Sai Charan Pallati
Development
Telangana, India
Skills
Data Engineering
About
Sai Charan Pallati's skills align with System Developers and Analysts (Information and Communication Technology). Sai also has skills associated with IT R&D Professionals (Information and Communication Technology). Sai Charan Pallati has 6 years of work experience.
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Work Experience
Associate Consultant (AI, Machine Learning)
Bristlecone India Limited
March 2019 - August 2020
- Customer Churn: Used the classification technique to classify the potential customers. Outcome: Deployed a web application using developed ML model, This provided valuable insights to target an particular customer. Interactive Web Application: Developed and open source live Interactive dashboard with flask, DASH for Mahindra &Mahindra Service data Outcome: By this dashboard decision makers made easy understanding of their sales. Optical Character recognition: Developed computer vision (OCR) using CNN and python, to detect table structure from image formats. Sentiment Analysis: Scarped the data from web pages and Developed a Sentiment analysis on Mahindra car review from car review websites Outcome: Customer got to know the fraud review websites reviewing the cars.
Machine Learning Engineer
RNT Technologies
June 2018 - January 2019
- Chatbot: Applied the deep learning technique Rnn for NLP Outcome: Improved the performance of CHATBOT with accuracy of 95%. Automate Website classification: Developed an automation classification of websites using python, NLP and deep learning technique RNN with accuracy of 98%. Optical Character Recognition: Innovated the recognition of character from image using OCR technique CNN and implemented several opencv techniques using python.
Software Engineer(Data Engineer)
Chubb Business Services PVT LTD
August 2020 - Present
- Data Engineering Developed ETL data Pipelines in python to read, transform and load data from on-prem servers to Azure data lake. Developed pipelines in python to convert xml files to flat table structure on Azure databricks. Developed pipeline in python to download and convert docs file to pdf's. Upserted data from databricks to sql and made them available for risk analytics and data scientists. Imported data from sql dw to build analytics report for business users. SQLDW to cosmos DB pipelines as frameworks on databricks Build python framework/module to convert list of records to json documents for any dynamic schema. Developed an End to End pyspark ETL pipeline for a policy snapshot project, reading data from 17+ sqldw tables for last 3 years. Merged/transformed all transactional policy data to produce one single policy snapshot document for each policy transaction. More than 5M policy documents are ingested into cosmos DB. Cognitive Search Implemented azure cognitive search with incremental indexing to reduce user query response time on Customer policy data across cosmos db and sql db. significantly improving the user query response time. Snowflake Successfully implemented the POC for writing source data from sqldw tables to snowflake tables. Efficiently transitioned the Snowflake POC to production, streamlining data flow and minimizing downtime for seamless integration. Enabled key pair authentication for secure snowflake data writes
Education
Ajeenkya Dy Patil University
MBA
June 2017 - June 2019
