Methani Sai Kumar

Bengaluru

Skills

Tools and Software's:

Tableau
Power BI

Excel
SQL
Python

Websites

Summary

MIS Analyst with 4 months of internship experience in analyzing and visualizing business data using Python, SQL, and Power BI. Possesses a strong analytical mindset and a keen interest in leveraging data to solve real-world business challenges.

Work History

MIS ANALYST

CANWIN HR SERVICES PVT LTD

Bengaluru, India

02.2025 - 05.2025

•Examined past loan datasets to uncover patterns behind approved and rejected applications using Python and SQL.
•Conducted detailed feature analysis on factors such as income, employment category, loan size, credit history, and applicant demographic information.
•Processed, cleaned, and structured the data using Python libraries like Pandas and NumPy to maintain accuracy and reliability.
•Wrote SQL queries to categorize loan records based on region, application outcome, and loan category for deeper insights.
•Built a simple logistic regression model to estimate the likelihood of high-risk loan applications.
•Used Matplotlib and Seaborn to visualize key trends, risk indicators, and influencing variables for better decision support.
•Provided actionable insights and recommendations aimed at lowering loan default rates and refining approval strategies.

Education

Bachelor of Technology - ECE

A1 Global Institute of Engineering and Technology

01.2024

SSC - undefined

ZP High School

Class XII - MPC

Basant Theosophical College

01.2020

Certification

• Python FullStack (Palle Technologies - 6 Months Training)

• Participated in a workshop on mind-controlled robotics.

• Participated in the event of 2K23 QUIZ and won the

second prize.

Additional Information

Telugu

English

Hindi

Projects & Achievements

Project Summary: Family Expense Tracking Web Application

Objective: Developed a web application using the Django framework to track daily family expenses efficiently.
Architecture: Implemented the MVT (Model–View–Template) design pattern for clean separation of logic, data handling, and UI.
Features:
Contains 6 fully functional pages for managing and viewing expenses.
Designed 10 view files, 5 model files, and 5 template files to support various operations like adding, updating, and displaying expenses.
Database:
Utilized MySQL as the backend database.
Created 5 structured tables to store and manage transactional and categorical expense data.
Technologies Used:
Django, PyCharm, MySQL Workbench, HTML/HTML5, JavaScript.
Outcome:
Delivered a user-friendly, data-driven system enabling families to organize, track, and visualize their daily spending patterns.

Additional Information

- Date of Birth: 2002-05-16
- Current Location: Bengaluru,KA, India