Juhi Banerjee

Consultant

Bengaluru, Karnataka, India3 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Expert in data-driven decision-making.
Proficient in SQL and data analysis tools.
Experience in game development and AI implementation.

Stackforce AI infers this person is a Data Analyst with experience in Fintech and Legal Tech.

Contact

Skills

Core Skills

SqlData AnalysisData ManagementGame Development

Other Skills

SQL Server Management StudioSQL Server Integration Services (SSIS)Microsoft Power AppsQlikViewMicrosoft ExcelMySQLData MigrationJavaScriptPythonAIData VisualizationSolidatusJavaGoogle Search Engine Optimization CourseC (Programming Language)

About

I am passionate about enabling data-driven decision-making for business leaders. I strive to understand the business processes that I work with and enhance my skills by taking up different challenges. I ensure that I am involved in both technical and functional conversations while architecting solutions, so that business requirements can be catered to in the most optimal manner.

Experience

3 yrs 9 mos

Total Experience

3 yrs 9 mos

Average Tenure

3 yrs 9 mos

Current Experience

Kpmg india

4 roles

Consultant

Apr 2026 – Present · 0 mo

Associate Consultant

Apr 2024 – Apr 2026 · 2 yrs

Analyst

Promoted

Jul 2022 – Apr 2024 · 1 yr 9 mos

SQLSQL Server Management StudioSQL Server Integration Services (SSIS)Microsoft Power AppsQlikViewMicrosoft Excel+1

Data Analyst

Jan 2022 – Jul 2022 · 6 mos

Knovaone

Summer Intern

May 2021 – Jul 2021 · 2 mos

KnovaOne provides IT support to law and mortgage firms. Data is sensitive and analysis must be accurate.
My work was on debt recovery legal operations.
Previously, the client used to use the traditional paper-based forms. Then the data used to be entered
manually and fex language was used to analyze. Our team worked in converting the paper-based forms to
sites in the online portal and converted the fex codes to MySQL.

Microsoft

Tic Tac Toe Game - The Mars Colonization Program

Jun 2020 – Jul 2020 · 1 mo · India

The game is designed for both 1 player and 2 players. For the 1 player game, there are 3 difficulty levels (easy, medium and hard) and is powered by AI (via Minimax Algorithm). It is a browser based web application deployed using Heroku. The web application has been written in JavaScript. The backend code for the following game is present in Python as well which works on the console and is not deployed.

JavaScriptPythonGame Development

Ibm

Analyse Customer Churn Prediction with Mainframe zOS

May 2019 – Jun 2019 · 1 mo · India

Imagine you are a bank with client retention issues — your customers are leaving the bank
(churning). Via this project, we have used Jupyter Notebooks with IBM Open Data Analytics for z/OS (IzODA) to look at credit card transactional data, with the various Python libraries and the optimised data layer provided by IzODA, to create robust data visualisations that allowed us to look for key features as to why a customer may want to leave a bank.