Kabita Dey
About Kabita Dey
Kabita Dey is a Technical Support Analyst with extensive experience in data mining and catalog error identification for online products. She has worked at Wooqer and Cogent Communications and has a background in Computer Science from Gauhati University.
Work at Wooqer
Kabita Dey has been employed at Wooqer as a Technical Support Analyst since 2016. In this role, she is responsible for identifying catalog and specification errors for online products. Her work involves collaborating with various stakeholders on data mining projects that encompass a range of categories including Grocery, Offers and Promotion, 2Gud, Furniture, Large Appliances, and Flipkart Plus coins. Kabita's contributions are integral to ensuring the accuracy and reliability of product listings.
Current Role at Cogent Communications
In addition to her position at Wooqer, Kabita Dey has been working at Cogent Communications since 2017 as a Specialist. Her responsibilities include data mining and Root Canal Analysis for Offers and Promotions. Kabita's expertise in these areas has allowed her to effectively analyze data and contribute to the company's promotional strategies.
Previous Experience at Healthenablr India Pvt Ltd
Kabita Dey briefly worked at Healthenablr India Pvt Ltd in 2016 as a Technical Support Analyst for two months in Bombay, Maharashtra, India. During her tenure, she gained experience in technical support and contributed to the company's operations.
Education and Expertise
Kabita Dey studied at Lumding College from 2012 to 2014, where she completed a two-year program. She furthered her education at Gauhati University, studying Computer Science and Computer Application from 2014 to 2015 for one year. This educational background has equipped her with the necessary skills and knowledge to excel in her technical support roles.
Career Progression
Kabita Dey has demonstrated career progression through her roles in customer service and technical support. She was promoted from L2 Customer Service Executive to Specialist, reflecting her growing expertise and responsibilities. In her current roles, she creates presentations to communicate the outcomes of data mining activities, showcasing her ability to analyze and present data effectively.