T Namratha Padiyar

MCA (NMAMIT)

MCA student with strong analytical skills and hands-on experience in Python, SQL, Excel, Power BI, and Tableau, experienced in exploratory data analysis, reporting, and dashboard development to support business insights.

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About Me

I transform raw data into meaningful insights using analytics, visualization, data storytelling, and problem-solving. I enjoy building dashboards, analyzing patterns, and creating reports that help businesses make better decisions.

Projects

Telecom Customer Churn Analysis

Churn factor detection using EDA & insights.

View Report GitHub

Delivery Analytics – Delay Insight

SQL, Excel & Python-based delivery delay analysis.

View Report GitHub

Factory Machine Downtime Analysis

Excel-based downtime pattern analysis and efficiency insights.

View Report GitHub

Retail Sales Performance Analysis

Power BI KPI dashboard for business decision insights.

View Report GitHub

Saree Inventory Management

Java + JSP full-stack inventory management system.

GitHub

Workforce Equality Analysis

Excel dashboard analyzing workforce diversity metrics.

View Report GitHub

Technical Skills

Analytics Skills

  • Exploratory Data Analysis (EDA)
  • Data Cleaning
  • Visualization & Storytelling
  • Dashboard Development
  • Statistical Analysis

Programming

  • Python (Pandas, NumPy, Seaborn, Matplotlib)
  • SQL (Joins, Windows, Aggregations)
  • Java / OOP
  • HTML, CSS, JavaScript

Tools

  • Excel (PivotTables, Analysis)
  • MySQL
  • Power BI
  • Tableau

Certificates

Deloitte Job Simulation – 2025

View Certificate

IBM Data Fundamentals – 2025

View Certificate

Education

MCA – NMAMIT (2024–2026)

CGPA: 8.69

BSc – MGM Udupi (2021–2024)

CGPA: 8.54

Soft Skills

Communication

Presented research paper at NMITCON 2025.

Leadership

TechTalk Event Head — Semaphore 2025.

Leadership & Teamwork

Led the women’s Tug of War team for Sports Day 2024 and 2025, securing 1st place (2024) and 2nd place (2025).

Analytical Thinking

Strong EDA, insights & pattern interpretation.

Problem Solving

Handled dataset issues & logic corrections.

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