Summary
Overview
Work History
Education
Skills
Additional Information
Certification
Timeline
Generic

Swathi

Data Science And Statistics Undergraduate
Bengaluru

Summary

Driven and analytical Data Science and Statistics undergraduate with experience in data analytics, visualization, and research. Skilled in Python, SQL, Tableau, and Django, translating data into actionable insights. Strong problem-solving, analytical thinking, and team collaboration skills.

Overview

3
3
Certifications

Work History

Intern

Forage
05.2024 - 06.2024
  • Completed data analytics projects in industry-simulated settings.
  • Performed data cleaning, exploratory data analysis, and dashboard creation.
  • Gained hands-on exposure to solving business problems using Python, MySQL, and Tableau.
  • Developed presentation-ready reports and visualizations for decision-making.

Education

Bachelor of Science - Data Science And Statistics

Christ University
Bengaluru, India
04.2001 -

Skills

  • Python programming
  • Data cleaning expertise
  • Effective problem-solving
  • SQL
  • Data visualization and presentations
  • Data analysis
  • SQL databases
  • Data modeling
  • Database maintenance
  • Database programming and SQL
  • Scikit-learn library
  • Algorithm development

Additional Information


Online Dictionary Web Application (Data Visualization Project)
• Built an interactive dictionary web application using Django in VS Code
• Designed a user-friendly frontend for word search, meanings, and related details
• Integrated data visualization to analyze word frequency, usage trends, and insights
• Applied Python, Django, and web technologies, ensuring functionality and accessibility

Addressing Tech-Induced Sedentary Lifestyle Among IT Professionals in Bangalore
• Conducting research on workplace health issues linked to prolonged sedentary behavior
• Using survey data and statistical analysis to identify patterns and risk factors
• Proposing data-driven solutions and policy recommendations to improve employee well-being

Multimodal ML Framework for Detecting Emotional Overspending
• Developing an anomaly detection framework for personal finance behavior analysis
• Analyzing behavioral data and sentiment signals to identify emotional overspending
• Exploring multimodal machine learning techniques to predict and prevent overspending patterns

Certification

Power BI Job Simulation – PwC (Forage),

Timeline

Intern

Forage
05.2024 - 06.2024

Bachelor of Science - Data Science And Statistics

Christ University
04.2001 -
Swathi Data Science And Statistics Undergraduate