SRIVAISHNAVI RAJAGOPALAN Technical Operations Associate- Amazon
Total Work Experience (3.5+ Years)
Phone:
Email:
vaishuraju@
outlook.com
BUSINESS SKILLS:
DATA ANALYSIS
TAKING OWNERSHIP
PRESENTATION
LEADERSHIP
CORE
COMPETENCIES:
SQL
PYTHON
MS EXCEL
Area of
expertise
Expert knowledge in MS Excel, MS Word and MS PowerPoint
Proficient in writing and debugging SQL queries and data-mining
Data manipulation, extraction and ingestion based ETL process
Stakeholder management
Python based tool development
Python in data analysis and Machine Learning model
Leading the team, taking ownerships and adapting to new skills
Analysis on large volume of data and taking decisions for the business team Technical
Engagements
Data driven decisions:
Have written SQL queries integrating several tables for data extraction, that includes amazon global product catalogue data and special attributes for better decisions
Data analysis:
Worked on huge volume of data to develop automation tool and performed various analysis through data extraction, manipulation using SQL and Python
Product level comparison and attribute level comparison are performed across various marketplaces with the help of scheduled transform ETL
Carried out de-duping analysis to prove that recursive data was found in the selection catalogue which consumed greater work force and time Statistical inference:
Queried various historic data from the database and performed regression analysis to find the statistical relationship between attributes. This reduced the validation effort by 2.8 FTE saving
Drove 1.6 FTE Saving by replacing the existing queries that required more man-power to integrate the results with a single query, that performs all the integration and provide result
Impact forecast:
Partnered with the Business Analysis team and built several queries which helped in forecasting the business impact on the team cluster
Consolidated historic data and regression analysis is performed with the help of scatter plotting
Technical
Support
Analyst
(Oct 18 –
Present)
Project Context:
Generating product information for different marketplaces - amazon.com, amazon.ca, amazon.in, amazon.sg and amazon.com.au
Drove 1.2 FTE savings by partnering with data engineering team to build an automated computation logic for Anomaly detection, using quicksight.
This involved building a dashboard displaying 7 key certification metrics on Quicksight with tables being loaded as a result of scheduled transform ETL’s.
This eliminated the need of manual querying at marketplace level and reduced email churn as the reports are available for direct one click download.
Performed web crawling and scraping for various websites
Active SME in handling escalations, process oriented tickets and providing RCAs
Framed multiple canned SQL queries during migration period from oracle to redshift (org wide oracle deprecation event) for the associates to extract monthly and periodic data from fact tables and dimension tables in amazon database.
Worked with large amount of numeric data for 1000+ retailers OPERATING
SYSTEMS:
WINDOWS
UBUNTU
LANGUAGES:
ENGLISH
TAMIL
HINDI
Quality
Analyst
(Oct 16 –
Sep 18)
Project Context:
Quality check on digitally-submitted product information to meet “Amazon Catalogue Standards” for amazon.com, amazon.ca, amazon.in, amazon.sg and amazon.com.au
Trained and performed quality check program for the ARM process
Have been a part of ML project (Machine Learning) for building attributes matching logics
As a part of business team, took decisions that had a positive effect on the team’s growth
Given inputs to train an automated AI to map data from various sources to Amazon catalogue
In addition to training the automated AI, performed various RCAs in order to increase the catalogue selection and to improve the quality of data
Built an Excel based macro/VB script to generate finalized ARM audit accuracy report from the audit results. This reduced the report consolidation effort by 1.25 man-hours per audit batch
Written SQL queries to pull data set based on requirements and to execute data analysis
Created the Five-in focus program as a solution to reduce the team defect rate in terms of quality and the defect rate was reduced to 1.33% Accolades
Tech wizard:
Received Tech wizard-2019 award for taking ownership on an analysis performed on the UPC duplicates across the marketplaces
Pure performer:
Received pure performer-2018 award for building multiple scripts using VBA for excel to automate report generation of various audit processes Promotion:
Promoted to Technical Operations Associate in 2years Hiring
Decisions
Actively been part of hiring loop for tech-ops and quality analysts and successfully hired 20+ candidates (level 3).
Educational
Qualification
B. E (ECE)
Dhanalakshmi College of Engineering, Anna University (2012-2016) Aggregate - 79.00%
Awarded the best final year project in the department
Acquired the position of 2nd runner-ups in the Texas Instruments India Analog Maker Competition 2015.
XII Class/HSC
Sri Sankara Vidyalaya Hr, Sec, School (2010-2012)
Aggregate - 84.00%
X Class/SSLC
Sri Sankara Vidyalaya Hr, Sec, School (2010)
Aggregate - 86.00%