Astra Dhakad

About

BCA student at UPES with hands-on experience from a social internship and academic projects in data science, machine learning, and software development. Interested in building practical programming, web development, and problem-solving skills in a real-world technical environment.

Experience

• Srijan Social Intern
  A Future of Children in Society · Guna, MP, India
  Jun 2025 – Jul 2025

  Educated children from low-income families through community learning initiatives; participated in social outreach and child welfare programs; worked collaboratively with NGO members to support educational activities and awareness campaigns.

Education

• Bachelor of Computer Applications (BCA)
  University of Petroleum and Energy Studies (UPES)
  Computer Applications · 2024 – 2027

Skills

• SQL <3 months
• Web development <3 months
• C <3 months
• CSS <3 months
• Data Analysis <3 months
• Data Structures <3 months
• HTML <3 months
• Agile Methodology <3 months
• Python <3 months
• Machine Learning <3 months
• Java <3 months
• scikit-learn <3 months
• Oop <3 months
• Advanced DBMS <3 months

Tools / apps / platforms

• Atlassian JIRA <3 months
• Eclipse IDE <3 months
• GitHub <3 months
• Google Cloud Platform <3 months
• Linux <3 months
• Oracle <3 months
• VS Code <3 months

Projects

• JIRA Project Management Report
  JIRA, Agile Methodology

  Created a project management report using JIRA to track tasks, workflows, sprint progress, and team collaboration; analyzed project planning, issue tracking, and task management using Agile practices; managed project workflows and monitored task completion using JIRA tools and dashboards.

• OOPS Code Complexity Analyzer
  Java, OOPs, Algorithm Design

  Developed a tool to analyze the complexity of OOPs-based code; calculated time and space complexity for classes, methods, and algorithms; provided suggestions to optimize code efficiency and maintainability.

• House Price Prediction
  Machine Learning, Python, Scikit-learn

  Developed a regression model to predict house prices based on various features; performed data preprocessing, feature engineering, and model evaluation; improved prediction accuracy using multiple regression algorithms.

• Data Science Project
  Data Analysis, Machine Learning, Python

  Performed exploratory data analysis to uncover trends and patterns in datasets; applied data visualization techniques to present insights effectively; built and evaluated machine learning models for predictive analysis.