Personable and resourceful professional with a talent for fostering strong relationships and driving collaboration. Possessing over 1.5 years of experience in Axis Bank, I have developed expertise in technical development, SDLC, and agile methodology. In-depth knowledge of website and app development, as well as familiarity with APIs, enables effective navigation of the ever-changing market dynamics. Excel in strategic planning and partner management, always committed to delivering measurable business growth and enhancing channel performance. Strong technical background and proficiency in SDLC and agile methodology make me well-equipped to contribute to any team or organization.
Fraud Engine
consulting skills Category : Consulting frameworks, MECE Framework,Procedures, Issue tree, Problem solving skills,Agile methodology, Stakeholder Analysis, Case solving, Business strategy development
Academic Portal-Data base management system June 2021 - July 2021
My SQL
– Developed an academic portal for an university using only database functionalities like stored procedure,triggers
– This is a multi-user(student,faculty,dean academic officer and batch advisor) database application for managing an academic
portal of an academic institute
– Use of stored procedures to keep a check and upload data accordingly(like time-slots, course offering(faculty),registering for
courses(student), ticket generation and propagation,and grade uploading
– Use of stored procedure for CGPA calculation
• Sales Dashboard August 2022 - September 2022
R language, power query, power pivot GitHub
– sales Dashboard - which shows the progression of sales on various parameters
– use of already present visuals to help present data in visualized form.
– Use of power query, power pivot to refine data and set certain connections between data to enhance the customer visualization
• Data Analysis projects August 2022 - September 2022
Python, Pandas,Numpy, Mat plot library,jupyter notebook GitHub
– sales data analysis - Pre-processed data to make it compatible to analysis
– Used Jupyter notebook and Pandas to do required data analysis.
– Then for visualization I used Matplot library in Python for better visualization
– Valorant stats– Used jupyter notebook and pandas to do required data analysis.
– Then for visualization I used power-bi and prepared a dashboard for all the visualizations