Harsh Sonkar (hq969)

hq969

User data from Github https://github.com/hq969

Company:Amazon

Location:Bengaluru

Home Page:https://github.com/hq969

GitHub:@hq969

Twitter:@HarshSonkar24

Harsh Sonkar's repositories

Youtube-Data-Pipeline-AWS

About Leveraging AWS Cloud Services, an ETL pipeline transforms YouTube video statistics data. Data is downloaded from Kaggle, uploaded to an S3 bucket, and cataloged using AWS Glue for querying with Athena. AWS Lambda and Glue converts to Parquet format and stores it in a cleansed S3 bucket. AWS QuickSight then visualizes the materialised data.

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amazon-clone

The Amazon Clone is a fully responsive front-end project built using HTML and CSS to replicate the UI/UX of Amazon’s e-commerce platform. This project focuses on user interface design, layout structuring, and responsive web development. It accurately mimics Amazon’s homepage, product listing, and navigation system, providing a realistic shopping ex

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Bharatinternproject-01

The SMS Spam Detection Module is a machine learning-based text classification system designed to identify spam messages in SMS texts. Using Natural Language Processing (NLP) and machine learning algorithms, this model classifies messages as either spam or legitimate (ham), helping to filter out unwanted messages.

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Bharatinternproject-2

The Cat and Dog Image Classifier is a deep learning-based computer vision project designed to classify images as either cats or dogs. Using Convolutional Neural Networks (CNNs), the model learns patterns from a dataset of labeled images and accurately predicts the category of new images.

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Codsoft-Task-1-Randomnumberguessinggame

The Random Number Guessing Game is a simple and interactive program where the user attempts to guess a randomly generated number within a specified range. The game provides feedback on whether the guess is too high, too low, or correct, making it an engaging way to practice logic and probability.

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Codsoft-Task-2-StudentGradeCalculator

The Student Grade Prediction Module is a machine learning-based system designed to predict students' academic performance based on various factors such as attendance, study hours, previous grades, extracurricular activities, and socioeconomic background. This model helps educators and institutions analyze student performance trends.

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Codsoft-Task-3-ATMInterfaceMachine

The ATM Interface Machine is a Java-based banking application that simulates the core functionalities of an ATM system. This project is designed to allow users to perform essential banking transactions such as balance inquiry, cash withdrawal, deposit, and fund transfers. It ensures a secure and user-friendly experience by implementing authenticati

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Credit-card-fraud-Detection

The Credit Card Fraud Detection project is a machine learning-based system designed to identify fraudulent transactions in real-time. Using historical transaction data, the model classifies transactions as either fraudulent or legitimate, helping financial institutions reduce financial losses and improve security.

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Gen-Ai-Hackathon

The SMS Spam Detection Module is a machine learning-based classifier designed to differentiate between spam and legitimate (ham) messages. It leverages Natural Language Processing (NLP) and classification algorithms to analyze SMS text and predict whether a message is spam.

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harsh-sonkar-portfolio-hk

I am a highly skilled Software Engineer, Data Analyst, and Full-Stack Developer with 4 years of experience in data science, machine learning, and software development. My expertise spans Python, AWS, Power BI, React, Node.js, SQL, R, and system design, allowing me to build scalable solutions across various domains.

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hq969

I am a 'Electrical Engineer', 'Generative AI Engineer', 'Full Stack Data Scientist', 'Data Analyst' and 'Technical Writer'

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ICC-Champions-Trophy-2025-Analysis

A Dashboard on ICC Champions Trophy 2025 in Power BI

License:GPL-3.0Stargazers:2Issues:0Issues:0

IPL-2022-Records

The IPL 2022 Records Analysis project focuses on exploring and analyzing the performance statistics of teams and players during the Indian Premier League (IPL) 2022 season. Using data analytics, visualization, and machine learning techniques, this project provides insights into match outcomes, player performances, and team strategies.

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krutanic-Major-project

The Car Price Prediction Module is a machine learning-based system designed to estimate the price of a used car based on various factors such as brand, model, year, mileage, fuel type, transmission, and location. The project involves data collection, preprocessing, feature selection, model training, and deployment to ensure accurate predictions.

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krutanic-minor-project

The Lung Cancer Prediction Module is a machine learning-based system designed to assist in the early detection of lung cancer. Using medical imaging data, patient history, and risk factors, the model predicts whether a patient is likely to have lung cancer.

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Loan-Eligibility-Prediction

The Loan Eligibility Prediction Module is a machine learning-based system designed to assess whether an applicant qualifies for a loan based on financial history, credit score, income, and other key factors. The project involves data preprocessing, feature selection, model training, and evaluation to ensure accurate predictions.

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neet-2024-center-marks

A Browser based SQL Interface to explore and analyze NEET 2024 / city / center-wise marks data

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Olympics-dataset-analysis

The Olympic Dataset Analysis project involves exploring and analyzing historical Olympic Games data, including athletes, countries, medals, sports, and event performance. Using data analytics and visualization techniques, this project uncovers patterns in Olympic history, top-performing countries, and athlete achievements.

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Pacman-Game-blob

A recreation of the classic Pac-Man arcade game using JavaScript and HTML5 Canvas, featuring player movement, enemy AI, and collision detection.

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pokemon-dasboard-pro-plus

The Pokémon Dashboard Pro Plus is an interactive web application built using TypeScript, React, and MySQL, designed for Pokémon enthusiasts, analysts, and trainers. The dashboard provides real-time Pokémon statistics, detailed insights, and interactive visualizations for a seamless experience.

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Realtime-Data-Pipeline-for-Stack-Market-Analysis

This repo demonstrates the development of a real-time data pipeline designed to ingest, process, and analyze stock market data. Using cutting-edge tools like Apache Kafka, PostgreSQL, and Python, the pipeline captures stock data in real-time and stores it in a robust data architecture, enabling timely analysis and insights.

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youtube-mini

I developed a fully functional YouTube-Mini using frontend and backend technologies to provide an ad-free video-watching experience. This platform replicates YouTube's core features while eliminating interruptions from advertisements, ensuring seamless content consumption.

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youtube.com

I developed a fully functional YouTube.com clone using frontend and backend technologies to provide an ad-free video-watching experience. This platform replicates YouTube's core features while eliminating interruptions from advertisements, ensuring seamless content consumption.

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AI-Dashboard

AI Dashboard is a full-stack web application with a React.js frontend and a Node.js backend, featuring an AI-powered chatbot using the OpenAI API. It supports real-time communication via WebSocket and provides an interactive dashboard for users.

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Gemini-Code-Assistant

Gemini Code Assistant is an AI-powered coding tool that enhances development efficiency by providing smart code suggestions, debugging support, and automation, leveraging advanced AI models for accuracy.

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