About

I am pavithra, Recent BCA graduate specializing in data analytics, business intelligence, and reporting using SQL, Power BI, Excel, and Python. Experienced in building practical machine learning models, cleaning complex datasets, and delivering end-to-end interactive dashboards. Skilled at uncovering patterns, tracking performance trends, and turning raw operational numbers into clear, actionable business insights. Good with data, but just as comfortable explaining what it means to someone who doesn't want to look at a spreadsheet. Passionate about leveraging structured problem-solving and modern data tools to support informed decision-making across teams.

Experience

1. Data Analytics Virtual Intern

   IBM SkillsBuild – AICTE & BharatCares

   August 2026 – September 2026 · Remote / Chennai, TN

   Completed a structured data analytics internship focused on exploratory data analysis, dataset cleaning, and predictive modeling under industry mentorship. Executed end-to-end data workflows using Python, SQL, and Excel to process raw inputs and deliver two core capstone projects: E-Commerce Sales & Customer Behavior Analysis and Used Car Price & Depreciation Analysis.

Education

1. Valliammal College for Women

   BCA, BCA

   2023 – 2026 · Grade: 74.4%

2. Velammal Vidhyashram

   Higher Secondary (CBSE)

   2022 – 2023 · Grade: 77%

Projects

• Financial Delinquency & Risk Prediction

  • Python
  • Pandas
  • Logistic Regression
  • Jupyter Notebook
  • MS PowerPoint
  • Joblib

  Investigated customer credit default patterns to identify high-risk accounts and design a proactive intervention strategy. Analyzed 500 customer records in Python to isolate default triggers and built a Logistic Regression model to map a 4-step automated collections workflow.

• E-Commerce Sales Performance & Customer Behavior Analysis

  • Python
  • Pandas
  • Seaborn
  • Logistic Regression
  • Google Sheets API
  • Jupyter Notebook

  Investigated stagnant regional revenue and identified buyer repeat rates and product category margins across multiple markets. Conducted exploratory data analysis on 416 unique customers and built Logistic Regression models to forecast repeat buyer behavior.

• Netflix Customer Churn Analysis

  • Python
  • SQL
  • Power BI
  • Generative AI
  • MS Word

  Investigated subscriber churn patterns to identify why customers leave and determine overall retention risk factors. Cleaned and analyzed 5,000 customer records using SQL and Python and visualized retention strategies through an interactive Power BI dashboard.

Certifications

• Data Analytics with AI Internship Certificate

  IBM SkillsBuild, AICTE & BharatCares · 2026

• Data Analytics Job Simulation

  Deloitte & Forage · 2026

• SQL (Basic) Certificate

  HackerRank · 2026

• Data Analysis with Python

  freeCodeCamp · 2026

• GenAI Powered Data Analytics Job Simulation

  Tata & Forage · 2026

Achievements

• Data Analytics Virtual Intern

  2026

  Completed a structured data analytics internship focused on exploratory data analysis, dataset cleaning, and predictive modeling under industry mentorship.

• Data Analytics with AI Internship Certificate

  2026

  Received a certificate for completing a data analytics internship with IBM SkillsBuild, AICTE & BharatCares.

• Data Analytics Job Simulation

  2026

  Completed a data analytics job simulation with Deloitte & Forage.

• SQL (Basic) Certificate

  2026

  Received a SQL (Basic) certificate from HackerRank.

• Data Analysis with Python

  2026

  Completed a course on Data Analysis with Python from freeCodeCamp.

• GenAI Powered Data Analytics Job Simulation

  2026

  Completed a GenAI Powered Data Analytics job simulation with Tata & Forage.