Apr 2024 – Jun 2024 · 2 mos

Mar 2024 – Mar 2025 · 1 yr

Sep 2023 – Feb 2024 · 5 mos

Jul 2022 – Jul 2023 · 1 yr

• Take end-to-end ownership of customer technical issues, including initial troubleshooting, identification of root cause, issue resolution and communication
• Work with AppsFlyer’s R&D and product global teams on escalations and product enhancement requests
• Manage various internal projects; trainings, ensuring support readiness for new feature releases, etc.
• Being a technical advocate for VIP customers, working closely with the customer success and business teams

Apr 2021 – Jul 2022 · 1 yr 3 mos · Gurugram, Haryana, India

• ∙ Perform in-depth troubleshooting including DB analysis and reading system logs to identify and solve complex support issues
• ∙ Ongoing support and Top Client case management, while working closely with the Business and Professional Services teams across the company
• ∙ Write technical notes and troubleshooting procedures to be used by the entire support organisation
• ∙ Knowledge expert that will serve as the focal point within the team

Aug 2019 – Apr 2021 · 1 yr 8 mos · Mumbai, Maharashtra

• Worked as a primary resource in the server migration project (WebLogic to JBOSS) of the ‘Canadian Imperial Bank of Commerce (CIBC)’, Canadian multinational bank’s mortgage lending live public website based on JAVA. It also included configuration of SQL database, ISRA, LDAP, HDAP, and messaging queues connection for bank’s different form of transactions.
• Developing and handling software changes in the application of the client as requested by the business using SQL, JAVA, and an internal language “Probe” based on object-oriented programming concepts.
• Providing backend support to the client CIBC, for their mortgage application.

Jan 2019 – Jul 2019 · 6 mos · Gurgaon, Haryana, India

• Aided build strategy through comprehensive research of the industry dynamics as a strategy advisory professional for FMCG, Pharma and Financial clients.
• Operated on targeted projects such as market analysis, market forecasting, data modeling, data warehousing and data mining
• Identified, inquired and analyzed facts through industrial data to advise clients in their procurement processes and strategy scheming. Extracted and analyzed the data using Capital IQ and Gartner databases.

May 2018 – Jul 2018 · 2 mos · Delhi, India

• Identified fake reviews that harmed the veracity of product ratings as a part of ‘Fake Review Detection’ project.
• Extracted raw data of 1.6 million reviews from ‘Amazon Electronics’, processed the data using different techniques in R-studio to remove and stem the inefficacious words and whitespace and analyzed it.
• Calculated similarity score between all the reviews to detect the similar reoccurring reviews in the dataset to rule out the fake reviews depending on the trust score of the reviewers’ id.

May 2017 – Jul 2017 · 2 mos · New Delhi, Delhi