Paritosh Gupta

Data Analytics Analyst

Vertice Cloud•  June 2019 - Present

 Oracle-based end-to-end analytics services provider • Applying machine learning techniques on Oracle Autonomous Datawarehouse to predict, classify, clustering, customer segmentation, Fraud Analytics etc using Python, PL/SQL. • Building the automated solution for analyzing Social media influence in Twitter by entity recognition, classification using NLP. • Creating data pipeline to collect the data from Twitter regularly. • Deriving the insights from datasets to provide data driven decision to business. • Performing data exploratory analysis and visualizing it to extract hidden insights through presentation & dashboards. • Creating data flow using the BI Tool and visualizing it. • Extracting the story from the data and creating POC for potential clients using visualization tool.

Senior Engineer

Fidelity National Information Systems•  February 2018 - August 2018

 BAU & SIP Activities • Worked as a Business as Usual Analyst for multiple clients (45+) in team size of 7 in total. • Was an escalation point of contact to solve problem, in the business-critical environment. • Demonstrated to perform under high pressure, by providing on-time delivery of recs. • Having experience with the System Improvement Process to automate the tasks using SQL, etc.

IT Analyst

Tata Consultancy Services Ltd•  July 2013 - February 2018

 Development, Support, and migration of legacy application platforms (Barclays Capital, UK) • Worked as an Analyst for 4+ years’ in Banking & Financial Domain, having exposure 1-year working on client site in London. • Data curation using ETL and integration techniques (Informatica) for pre-processing of data. • Pre-processing the files using PERL and batch scripts. • Created SQL scripts to automate the process and extracting the data. • Having great knowledge of developing and analyzing large complex dataset. • Responsible as an escalation point of contact and shift lead, to smoothen the client requirements. • Conducted weekly stakeholders meeting for service improvement and delegating the tasks among team.