Ankit Tikone
Business Analyst at Axe Finance
- Role
- Business Consultant at Axe Finance
- Location
- Thane, MH, IN
- LinkedIn followers
- 500 followers
About Ankit Tikone
Results-driven professional with over 5 years of experience across business consulting, data analytics, and software testing. Currently working as a Business Consultant at Axe Finance, where I specialize in loan origination solutions for financial institutions. My role includes analyzing client requirements, configuring the Axe Credit Portal (ACP), optimizing lending workflows, ensuring regulatory compliance, managing databases via SQL Server Management Studio (SSMS), and providing both UAT/PROD support and end-user training.Previously, I worked as a Data Consultant at Satori Group India, where I tailored platform capabilities to solve business problems across diverse client environments. I developed automated solutions using the HighBond platform and Python, while also creating SQL and ACL-based reports and interactive dashboards for insurance clients.With nearly 3 years of experience as a Software Tester at Word Publishing, I focused on identifying testing requirements, writing and prioritizing test cases, maintaining Excel-based reports, and delivering actionable insights through Power BI dashboards.Passionate about continuous learning and innovation, I strive to contribute effectively to financial technology advancements.
Experience
Business Consultant
Jun 2024 — Present · Navi Mumbai, IN
I am a Business Consultant at Axe Finance, specializing in loan origination solutions for financial institutions. My role involves analyzing client requirements, configuring the Axe Credit Portal (ACP), optimizing lending workflows, and ensuring regulatory compliance. I also work with SQL Server Management Studio (SSMS) for database management, provide UAT & PROD support, and end-user training to help clients streamline their loan processing.
Education
Jan Vikas Mandal's Mehta Degree College
BSC-IT(Information Technology)
Imarticus
PGA in data analyst and machine learning
2021 — 2022
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