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Hey Everyone,
I am Varun Kolluru
About me
I am a passionate Computer Science Engineer with 1.5+ years of professional work experience in Software development Engineering and Data Science. I am proficient in Data Structures and Algorithms and an ML/AI enthusiast with a strong understanding of ML mathematics, algorithms and hands-on experience in Data analysis and Data Engineeing.
Education
Computer Science and Engineering at Gandhi Institute of Technology and Management (2019 - 2023)
My Skills
Python
SQL
Java
JavaScript
C
HTML
Tailwind CSS
React.JS
Next.JS
FastAPI
Django
REST apis
Pandas, Numpy, math.plot.lib
Regression, Classification algorithms
Clustering algorithms
Dimensionality reduction
In depth Math behind ML algorithms
TensorFlow
AWS (EC2,S3,redshift,RDS,Elastic Cache)
Git/GitHub
ETL
PostgreeSQL
Apache Airflow
Web Socket programming
Postman
Selenium
Professional Work Experience
I have work experience in wide range of tools and technologies related to software development and Data Science .
Techmahindra
- Automated testcases working for Google client using selenium java
- Modified existed code and migrated to Page Object Model (POM) for better code reusability.
- Upskilled with DataScience topics and implemented basic dashboarding for testcases using Streamlit.py.
AMAZON
certificate- Built and automated MLOps Pipeline using Airflow, which is used for estimating delivery date of orders and Optimized S3 storage using python scripts.
- WebScrapped meta data of 470 ETL jobs using Python/Selenium, creating a sheet utilized by the BI (Business Intelligence) team for analysis tasks.
- Improved performance of load jobs by optimizing 5 Redshift tables, reducing storage space by 10-15%.
- Migrated 8 tables, facilitating the deprecation of the Redshift database, utilizing ETLtools and SQL,Pandas to track those tables.
Machine Learning Intern (May 2022 - Jun 2022)
- Trained on python ML libraries under Corporate Mentors
- Worked on data analysis and visualization on their company data using python
- created a spam mail classifier model which gave an accuracy of 98% on test set.
Achievements in Academics
- All India Rank 535 (99.06 percentile) in GATE 2025 Data Science and Artificial Intelligence
- Qualified GATE 2025 Computer Science
- Qualified JEE mains 2019 with 93 percentile
PersonalProjects
(click on cards for GitHub code)
PGconnect (FullStack App)
A Mobile app for managing hostel/PG data with social networking features. Tech Stack used: React Native (mobile app), django (backend), postgreesql(database), Security standards:- JWT (authentication), SSL (https requests), Socket programming (chating application), purpleis (cache for quick response), AWS Ec2,RDS (cloud), Figma (designs)
Data Analyser Web App (with integrated Large Language Model)
Tech used: Streamlit and pandas.User can perform Data Analysis and Data Visualizations with Interactive Plots, Integrated with OpenAi's LLM to auto generate answers for the queries related to uploaded File.
MultiClass ChestX-ray Image Classification Using CNNs
Built a Deep Learning classification model using Tensorflow and compapurple my model performence with different pre-existing models