1. Orchestrated On-prem Hadoop set-up with 1-year expertise in Python, Python/Shell scripting, and advanced SQL for big data processing. Spearheaded data extraction from 10+ sources for analytics tools, emphasizing data engineering and analytics proficiency.2. Designed resilient data pipelines using Python and Java, efficiently processing 100TB of structured and unstructured data. Led ML model training and evaluation with MLlib, showcasing 1-year of experience in data engineering, ETL, and machine learning.3. Managed end-to-end development and deployment of 10+ machine learning models, resolving 15+ issues related to data quality, processing errors, and algorithm performance. Keywords: machine learning models, deployment, issue resolution, data quality, and algorithm performance.4. Conducted 10+ Jira test cases for quality assurance, collaborating with NoSQL and SQL databases, highlighting 1-year of experience in database management and quality assurance.5. Engineered robust database solutions, integrating NoSQL and SQL databases, optimizing internal data validation processes by 25% at DigiAI Solutions. Keywords: database solutions, NoSQL, SQL, data validation processes in big data analytics.

1. Achieved a 98% accuracy rate in background verifications during 3+ years of experience.2. Executed audits with a 95% reduction in discrepancies, enhancing verification procedures.3. Enhanced team efficiency with advanced Excel functions, Tableau, and Power-BI, resulting in improved visualization effectiveness and productivity.

I have completed 3 task of text mining from which 1st task was to scrape the data for which we have used web scrapping method to collect the data. 2nd task was to analyse the data and and the 3rd task was to do prediction using Predictive modeling solutions which is a form of data-mining technology that works by analysing historical data and current data and generating model to help predict future outcomes.