Pre-final Year CSE (Data Science) Student

Aspiring Software Engineer & Data Enthusiast

Aspiring Software Engineer developing strong DSA fundamentals, full-stack skills, and clarity-driven data visualizations.

Profile photo of Abinaya Goud

About Me

Who I am and what I enjoy building.

I’m Abinaya Goud, a pre-final year Computer Science (Data Science) student at Malla Reddy University, Hyderabad. I’m building a strong foundation in software engineering, DSA, and full-stack web development.

I enjoy turning ideas into working products β€” from responsive web apps using JavaScript and modern frameworks to data-driven visuals that clearly communicate insights. Right now I’m focused on improving my problem-solving skills and shipping clean, maintainable code.

Quick Facts

  • πŸ“Location: Hyderabad, India
  • πŸŽ“Degree: B.Tech CSE (Data Science), 2023–2027
  • πŸ“ŠCurrent CGPA: 9.88 / 10
  • πŸ’ΌCareer Interests: Software Engineering, Full-Stack, DSA
  • πŸš€Open To: Internships & Entry-level roles

Skills

Technologies I work with regularly.

SWE & DSA

  • Java
  • Python
  • Data Structures
  • Algorithms
  • Problem Solving

Frontend

  • HTML & CSS
  • JavaScript
  • React (Basics)
  • Responsive Layouts
  • DOM Manipulation

Backend

  • Node.js & Express
  • REST APIs
  • MySQL
  • MongoDB
  • Auth & Routing

Tools

  • Git & GitHub
  • VS Code
  • Linux Basics
  • Postman
  • AWS (Beginner)

Experience

Hands-on industry experience in data science and ML.

Data Science & ML Intern

Infotact Solutions Β· Remote

May 2025 – Aug 2025

  • Developed and deployed a Random Forest model (85%+ accuracy) for task classification, reducing inference latency by ~35% using joblib.
  • Built a Streamlit-based smart task management dashboard for real-time task filtering and ML-based priority prediction.
  • Designed visual analytics (task trends, status distribution) using Matplotlib and Seaborn to improve project insights.
  • Integrated preprocessor and model pipelines into production-ready workflows for low-latency inference.

Projects

End-to-end work in software engineering, data, and analytics.

Smart Health Predictor web app screenshot

Smart Health Predictor

Streamlit app that predicts the risk of Diabetes, Heart Disease and Parkinson’s using machine learning models on clinical input data.

Python Β· scikit-learn Β· Streamlit

Adaptive User Segmentation dashboard screenshot

Adaptive User Segmentation – Amazon

Gradio app that segments e-commerce users into behavior groups using KMeans and classification, then suggests targeted marketing strategies.

Python Β· KMeans Β· Gradio

Walmart Sales Analysis dashboard screenshot

Walmart Sales Analysis

Analysis of Walmart store sales using Python, SQL and Power BI to identify trends, top-performing stores and the impact of holidays.

Python Β· MySQL Β· Power BI

Global COVID-19 Vaccine Tracker dashboard screenshot

Global COVID-19 Vaccine Tracker

Tableau dashboard built on Our World in Data to track global vaccination progress, daily doses and coverage across countries.

Tableau Β· Data Visualization

StreamSaver YouTube playlist downloader app screenshot

StreamSaver – YouTube Playlist Downloader

Java desktop app that downloads full YouTube playlists with selectable quality, concurrent downloads and progress tracking.

Java Β· Desktop App Β· yt-dlp

Education

Academic background and core CS foundations.

B.Tech in Computer Science (Data Science)

Malla Reddy University Β· Hyderabad, India

2023 – 2027

CGPA: 9.88 / 10

Relevant Coursework
  • Data Structures & Algorithms
  • Database Management Systems
  • Operating Systems
  • Object-Oriented Programming
  • Computer Networks

AWS Future Business Intelligence Engineer Nanodegree

Udacity Β· AWS AI/ML Scholars

2025

Key Concepts
  • Amazon QuickSight BI
  • Dashboarding & Visualization
  • Generative AI with Amazon Q
  • Secure & Scalable Analytics

Achievements & Certifications

Recognition and continuous learning.

Certifications

  • Google Analytics Certification – Google
  • Introducing Generative AI with AWS – Udacity
  • Generative AI with AWS – Udacity
  • AWS Machine Learning Foundations – AWS
  • Google Gen AI Exchange – Google

Competitive & Community

  • AWS AI/ML Scholars Program – Selected Scholar (2025)
  • Infosys Pragati Path to Future – Selected (2025)
  • GirlScript Summer of Code (GSSoC) 2025 – Contributor
  • HackerRank: Gold (SQL), Silver (Python & Java)
  • LeetCode: 100 Days of Code Badge & Intro to Pandas Badge

Contact

Let’s discuss opportunities or collaborations.

Let’s talk

I’m open to internship and entry-level opportunities in software engineering, data science, and ML/AI. If my profile matches your requirements, feel free to reach out.