Jun 2022 – Dec 2022 · 6 mos · United States

• Understanding the GPS Data Lake Architecture and implementing ETL for extraction, transformation, and load.
• Building analytical reports for Global Manufacturing Operations to analyze manufacturing quality and other metrics.

Aug 2021 – Dec 2022 · 1 yr 4 mos · Tampa, Florida, United States

Dec 2019 – Jul 2021 · 1 yr 7 mos

• Role of a Subject Matter Expert
• Working on the Knowledge Engine for Google Search
• Received business requirements related to different projects from Google Program/Senior Program Managers.
• Working on Google Internal Tools along with Python, SQL and other tools for Data Analysis.
• Known to have driven business effectiveness through making recommendations based on data findings.
• Analysing data for creation of the testing set.
• Multiple Checks that no other data hampers the Actual data
• as there’s N number of data sources.
• Cleansing bad data if inserted via algorithm.
• Analyze new ‘epochs’ (data batches) which shows improved data quality in terms of recall/precision.
• Ensure presentation of data to see beyond the numbers in order to help product managers, designers, and engineers to decide which features to be build and why.
• Using Machine Learning algorithms to make all data sources (verticals) to be transformed in a way that delivers highest possible data quality which is further used to feed Google Search.
• Debugging quality bugs in order to find root causes & provide quick solutions
• Doing Sanity Checks to ensure quality, recall & precision
• Provide continuous support to the engineering teams by providing triage sessions

Sep 2017 – Dec 2019 · 2 yrs 3 mos · India

• Worked as a Data Analyst for our customer MBNL which have stake holders as EE and H3G .
• Involved in Data Engineering, Data acquisition, Data Preparation modules and Data Analysis.
• Implementing baseline module to show the trends of individual projects,
• based on selected time range. Writing scripts for analysis and unit
• test cases , implementation of machine learning techniques in various projects
• Applying Descriptive analysis, Visualization, Predictive modelling and validation concepts to network data i.e for Sector, Sites and Cells.
• Collecting data from various sources and applying the models of Machine Learning
• Received business requirements from product owners, and analyzed the impact on the current state, and created designs for development based on technical and functional aspects.
• Co-ordinated with clients to formulate strategy to transition business requirements to development teams.
• Collaborating with different teams like Operations, Developers, Risk Analytics for continuous developments, pain points, requirements and Solution Analysis.
• Created and communicated product roadmaps, product benefit for clients and internal stakeholders after analysis of business operations and priorities.
• Cleansing of Data, Manipulation of data, Retrieving data from various sources.

Apr 2017 – Sep 2017 · 5 mos · India

• Created and Automated reports for the clients using SAP BO, RPA, and SQL, improving the delivery to 100%.
• Implemented ELK [Elastic Search Logstash Kibana] which helped in identifying and reducing the errors in the log files
• and maintaining 100% availability of data from the servers.

Jan 2016 – Mar 2017 · 1 yr 2 mos · Bhubaneswar, Odisha, India

Aug 2014 – Jul 2016 · 1 yr 11 mos

• Started a part time food business named Hostel Haat with 3 other members during Bachelors, where we delivered groceries, stationaries, meals and cosmetics to other students and generated a revenue of approximately 9000 USD from a starting investment of 50 USD in 2 years.
• Performed Exploratory Data Analysis on 100k+ records and implemented Machine Learning models like Decision Tree Classification and K Means Clustering to predict the sales and revenue and increasing the profits by 50-70% every quarter.