Hello, I'm

Pooja Bhatawdekar

B.Tech Computer Science Student - VIIth Semester

Programming is an extremely creative profession.
It is logic based creativity.

9.3 CGPA
4 APIs
Developed
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Pooja

Hello, I'm

Pooja Bhatawdekar

main-hero
9.3 CGPA
7 Projects
Completed

B.Tech Computer Science Student

VIIth Semester

about about
About Me

I am a dedicated Computer Science student with a strong passion for problem-solving and technology. Currently, I am focused on developing my skills in data analysis and machine learning. With a solid foundation in programming languages such as C, C++, Python and Java, I'm eager to expand my knowledge in areas like natural language processing and parallel programming.

  • Name Pooja Bhatawdekar
  • Email poojabhatawdekar@gmail.com
  • Download CV
  • Date of birth January 22,2006
  • Education Computer Science

My Projects

GenLib Collections API

C Programing Language

A generic collections management API for C.
Supports linked list, tree, graph, map, internal and external sorting operations.

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HTTP Rock

HTTP Web Server

Http Server written in C++.
Provides supports for back-end development.
Multiple web applications can be deployed.
Optimized for low latency

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Framework for Network Applications

Java

Enables network application developers to write network applications without worrying about Socket programming and multi threading.
Supports implicit object serialization & object deserialization

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API for front end web developers

Javascript

Developers can create front end functionalities like AJAX & DOM management with less code.
Has support for custom components like tree, accordion, menu & graphs.

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ETL Tool for ML/AI tasks

HTML5/JS/CSS/Python

Developed web based ETL Tool.
It allows the user to perform ETL tasks and then download. transformed datasets.

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Audio & Video Transformation Tool

C++

Utilities for transforming audio and video files to various formats. Can be integrated with any application as external utilities.

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Updating my skills @Thinking Machines
System programming 70%
MongoDB 60%
GraphQL 40%