Data Engineer
Projects:
- Sentiment Analysis: This model helps to determine sentiment on sentence level
- ABSP: Attribute Based Sentiment Polarity, this model helps us to find sentiments around attributes
- Opinion Phrases: This model helps to extract phrases from reviews which contains opinions in them
- Suggestion Mining: This model helps to determine whether customer is giving any suggestions to fellow customer or any advice/Tips to improve product.
Roles & Responsibilities:
- Responsible in Collecting and preprocessing raw text data from various sources such as social media, customer reviews, and survey responses
- Identify, analyze, and interpret trends or patterns in complex data sets
- Prepare data for predictive and prescriptive modeling
- Cleaning and formatting text data to make it ready for analysis
- Assessing and identifying data quality issues and implementing solutions to improve data quality
- Creating and maintaining data dictionaries, data catalogs, and other documentation to ensure that data is well-understood and properly used
- Annotating data with respective to model requirements
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability
- Analyzed complex data and identified anomalies, trends, and risks to provide useful insights to improve internal controls