Summary
Overview
Work history
Education
Skills
Projects
Timeline
Generic

Ansila Mol KP

Perinthalmanna,India

Summary

Data professional with expertise in SQL, Python, and Power BI, skilled in exploratory data analysis and business reporting. Demonstrates strong problem-solving abilities and analytical thinking, with a talent for data storytelling and visualisation. Adept at interpreting trends to drive strategic insights. Committed to leveraging data skills to enhance business decision-making processes.

Overview

4
4
years of post-secondary education

Work history

Data analyst Intern

Edunet Foundation
Bangalore, India
10.2023 - 12.2023
  • Analyzed real-world datasets using Python (Pandas, NumPy) to perform data cleaning, data preprocessing, and exploratory data analysis (EDA).
  • Created data visualizations using Matplotlib and Seaborn to identify trends, patterns, and insights for business reporting.
  • Built interactive dashboards and reports in Power BI, enabling stakeholders to track key metrics and make data-driven decisions.
  • Applied SQL-ready analytical thinking to structure datasets for reporting and dashboard consumption.
  • Gained exposure to Microsoft Azure for managing data workflows, including Azure Data Factory, Azure Storage, and Azure Machine Learning.
  • Developed a strong foundation in data analysis techniques, including feature engineering, basic model evaluation, and performance interpretation.
  • Documented analysis findings and presented insights in a clear, structured format suitable for non-technical audiences.

Education

Bachelor of Technology - Computer Science and Engineering

Eranad Knowledge City Technical Campus
Kerala
06.2021 - 04.2025

Skills

  • SQL
  • Python
  • Power BI
  • Problem Solving
  • Exploratory data analysis
  • Business reporting
  • Data storytelling
  • Able to interpret trends
  • Analytical thinking
  • Data visualization
  • Feature engineering
  • Data mining techniques

Projects

  • Analyzed and processed 5,000+ documents using OCR and Python to extract structured data with 92% accuracy.
  • Worked with large labeled datasets (10,000+ records) to classify documents into 5 categories, achieving 80% accuracy and improving data quality by reducing classification errors by 25%.
  • Performed data cleaning, validation, and analysis to improve document retrieval efficiency by 30% and reduce processing time from 3.5s to 2.4s per document.
  • Created performance metrics and reports to evaluate model results and workflow efficiency, improving overall user productivity by 35%.

Timeline

Data analyst Intern

Edunet Foundation
10.2023 - 12.2023

Bachelor of Technology - Computer Science and Engineering

Eranad Knowledge City Technical Campus
06.2021 - 04.2025
Ansila Mol KP