Summary
Overview
Work History
Education
Skills
Certification
Timeline
Projects
Generic

Abarna Venkatasubramanian

Trichy

Summary

Aspiring Data Scientist with a strong foundation in programming, data analysis, and problem-solving. Seeking to leverage my expertise in data science, machine learning, and API development to deliver data-driven solutions. Passionate about transitioning from Application Analyst to a challenging role in Data Science.

Overview

7
7
years of professional experience
4
4
years of post-secondary education
1
1
Certificate

Work History

Application Analyst

Air Arabia
Fujairah
01.2021 - 01.2024
  • Developed APIs for third-party integrations in the passenger servicing domain
  • Worked on ticket booking modules and identified critical bugs, ensuring smooth operations
  • Collaborated with agents to facilitate seamless integrations

Java Developer

Tata Consultancy Services
Chennai
01.2017 - 01.2019
  • Contributed to the British Airways project, designing a new ticketing flow using Java and Spring framework
  • Conducted brush testing to ensure code quality before deployment

Education

B.Tech - Information and Communication Technology

Sastra University
Thanjavur, Tamil Nadu
04.2013 - 01.2017

Skills

Python

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Certification

IITM Pravartak Advanced Programming Professional and Master Data Science course

Timeline

Application Analyst

Air Arabia
01.2021 - 01.2024

Java Developer

Tata Consultancy Services
01.2017 - 01.2019

B.Tech - Information and Communication Technology

Sastra University
04.2013 - 01.2017

Projects

1. RedBus Data Scraping Project
  • Developed a web scraping solution to extract real-time bus route data from the RedBus website.
  • Focused on government-operated bus services like APSRTC, Kerala RTC, and TSRTC.
  • Implemented automated scrolling and multi-page data extraction using Selenium and Python.
  • Designed a user-friendly filtering system to select routes based on state, minimum star rating, bus type, and departure time.
  • Improved the filtering experience by introducing a slider-based star rating filter and categorized departure time slots.
  • Ensured data accuracy and usability for insights by storing and processing data using Pandas.

Technologies Used: Python, Selenium, Pandas

2. DataSpark Project
  • Conducted Exploratory Data Analysis (EDA) on large datasets to uncover patterns and trends.
  • Applied data wrangling and transformation techniques to clean and preprocess raw data.
  • Designed interactive dashboards and visualizations in Power BI to present key insights.
  • Focused on data-driven storytelling, enabling decision-makers to interpret results effectively.
  • Implemented best practices for data modeling, DAX functions, and performance optimization in Power BI.

Technologies Used: Python, Pandas, Power BI

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