Shreyas Kulkarni Portfolio

About me

As a dedicated computer science student with a passion for machine learning, artificial intelligence, and software development, I strive to create impactful projects that bridge technical skill and user-focused design. My hands-on experience includes building applications in Python, data analysis, UI/UX design, and deploying machine learning solutions. I’m motivated by opportunities to solve real-world problems and constantly seek to expand my knowledge through challenging projects and collaborations. I aim to apply my skills effectively in a professional setting, contributing to innovative solutions and continuous growth.

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Skills

Programming Skills

Java

Python

CPP

Dart

PHP

JavaScript

Machine Learning

Deep Learning

.NET

HTML

CSS

Databases and Tools

SQL

Firebase

phpMyAdmin

AWS

Flutter

Power BI

GitHub

Big Data

Block Chain

NLP

Pandas

Scikit Learn

Matplotlib

Streamlit

Figma

Canva

My Education

Education is not the learning of facts, but the training of the mind to think.

Bachelor of Technology

Nutan College of Engineering and Research, Pune

2022-2025 | Pursuing

Current CGPA: 7.60

Diploma in Computer Technology

Solapur Education Society's Polytechnic, Solapur

2019-202 | Completed

Aggregate: 87.20%

Expense Tracking System

Expense Tracking System, mainly know as "Dhan Darshak: A Wealth Tracker" is a user-friendly expense tracker designed for effective money management. Key features include detailed expense insights, transaction tracking, an intuitive interface, and an organized history page for past records. It provides daily streaks, budgeting tools, timely reminders, and overall insights with easy-to-read charts. With strong data security, Dhan Darshak helps users from all backgrounds track and improve their financial health effortlessly.

Product Sales Analysis

A web application designed to help businesses analyze and understand their product sales data. The application uses machine learning to identify trends, such as seasonal sales patterns and best-selling products, providing insights that support better inventory and marketing decisions. Built with an easy-to-use interface in Streamlit, it allows users to view interactive visualizations, making complex data easy to interpret. This project involved steps like cleaning data, selecting and testing models, and creating user-friendly features for non-technical users. Overall, it offers businesses valuable insights to optimize their sales strategies and improve decision-making.

ChatBot Application

A chatbot application to enhance the shopping experience with interactive, real-time assistance. The chatbot integrates with a shopping platform, allowing users to browse products, ask questions, and receive recommendations. Using Firebase for real-time database management and Brainshop AI to improve conversational quality, the chatbot can respond quickly and effectively, making interactions smoother and more engaging. This project taught me how to implement conversational AI and manage real-time data, while focusing on creating a user-friendly, responsive interface. Overall, the chatbot improves customer engagement by making shopping more convenient and interactive.

Python Programmer Intern

Internpe | May 2023 - June 2023

Developed automation scripts using Python for data processing tasks.
Collaborated with the team to implement data analysis features using Pandas and Matplotlib.
Enhanced existing codebase with new functionalities and bug fixes.

Shreyas Kulkarni

Hello,

My Name is

Shreyas

About me

Skills

Programming Skills

Databases and Tools

My Education

Bachelor of Technology

Diploma in Computer Technology

Recent Projects

Expense Tracking System

Product Sales Analysis

ChatBot Application

Work Experience

Python Programmer Intern

UI/UX Developer Intern

CERTIFICATION

Cloud Security and Audit Fundamentals

AI/ML for Geodata Analysis

Data Analysis with Python

Career Essentials in Cybersecurity by Microsoft and LinkedIn

Data Science Foundations: Fundamentals

Introduction to Programming using Python

Shreyas Kulkarni

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