Nov 2019 – Jan 2022 · 2 yrs 2 mos · London Area, United Kingdom

Aug 2018 – Nov 2019 · 1 yr 3 mos · India

Aug 2016 – Aug 2018 · 2 yrs · Bangaluru

• I work for the Data Services team specifically under Data Quality and Governance . My work revolves around data and most of the work I have done is using various database models and JAVA-SPARK.
• I have majorly worked on the following Projects :
• 1. Talend open studio : This tool helps building jobs to carry out ETL operations on tables . I have built jobs on this tool to compare data between different sources such as Teradata , HANA and Hive.
• 2. Data Profiling : I have built a data profiling project Using Spark with Java to analyse a table and get the required information out of the table.
• 3. Integrating Java with Talend : I have built a bridge to connect Talend to a Java based tool which makes data analysis faster and easier. This job was earlier considered to be very difficult or nearly impossible.
• 4. Rule Engine : I have worked under this project which intends on creating a rule engine using java and spark . It takes the rule descriptions in the json format and applies the rule on the given table to retrieve the exceptions .
• 5. End to End development of a real estate management app - The app helps in getting information regarding most suitable locations for opening up a new mart / a warehouse by analysing the existing competition near the area.
• 6. Development of Data Science Foundation (A one stop shop for all the Machine learning applications and apis) - The design and development of a platform to host various machine learning applications developed internally which can act as a one stop shop for all the ML related problems.

May 2015 – Jun 2015 · 1 mo · Noida,U.P,India

• The project consisted of building a web site for an online shopping mart which
• sells various products related to movies/series, both hindi and english. The key features of the web site are:
• 1. Login/Signup
• 2. List of hindi/english series/movies whose products are available
• 3. List of products and their description according to the area selected
• 4. Categorisation of products based on price and/or type
• 5. My cart option
• 6­ Quizing ­: customers could earn points through these quizes based on various series and movies. These points could later be redeemed to avail discounts on products.