An interactive Streamlit analytics dashboard exploring long-duration Spotify tracks released between 2014–2024.
\nIncludes feature engineering, interactive Plotly visualisations, and an explainable recommendation system for discovering similar tracks.
A Python desktop app for managing invoices, clients, and reports, featuring:
\nA set of native scripts for macOS, Linux, and Windows that recursively analyze a directory or drive, providing detailed statistics about folder sizes, file counts, and more. Now includes a native Objective-C command-line tool for macOS.
"}},{"node":{"frontmatter":{"date":"2025-06-30","title":"Hotel-Revenue-Booking-Analysis","tech":["Python (Pandas, Matplotlib, Seaborn, Plotly)","Jupyter Notebook","Excel","Power BI"],"github":"https://github.com/hemangsharma/Hotel-Revenue-Booking-Analysis","external":null,"ios":null,"android":null,"company":null},"html":"This project provides a comprehensive revenue and reservation analysis for Highfield Hotel using historical data exported from booking systems and internal revenue reports. The goal is to derive actionable insights to improve room profitability, understand booking patterns, and support data-driven decision-making.
"}},{"node":{"frontmatter":{"date":"2025-03-12","title":"Breast-Cancer-Patient-Dashboard","tech":["Python","Streamlit","Pandas","Plotly"],"github":"https://github.com/hemangsharma/Breast-Cancer-Patient-Dashboard","external":"https://breast-cancer-patient-dashboard.streamlit.app/","ios":null,"android":null,"company":null},"html":"This interactive Streamlit dashboard visualizes insights from the SEER Breast Cancer Dataset (2006-2010)
"}},{"node":{"frontmatter":{"date":"2025-03-10","title":"Telecom-Customer-Churn-Analysis","tech":["Python","R"],"github":"https://github.com/hemangsharma/Telecom-Customer-Churn-Analysis","external":null,"ios":null,"android":null,"company":null},"html":"This project analyzes a dataset of telecom customers to understand factors contributing to customer churn.
"}},{"node":{"frontmatter":{"date":"2025-03-07","title":"Warren-Buffett-Portfolio-Analysis","tech":["Tableau"],"github":"https://github.com/hemangsharma/Warren-Buffett-Portfolio-Analysis","external":"https://public.tableau.com/app/profile/hemang.sharma6675/viz/warner/Dashboard1?publish=yes","ios":null,"android":null,"company":null},"html":"This project analyzes Warren Buffett’s investment portfolio as of December 31, 2024. Using Tableau, we visualize key insights into Berkshire Hathaway’s holdings, including portfolio allocation, market value distribution, and top investments.
"}},{"node":{"frontmatter":{"date":"2025-03-01","title":"dynamic-pricing","tech":["Python"],"github":"https://github.com/hemangsharma/Australian-Real-Estate-Prediction-Model-Project","external":null,"ios":null,"android":null,"company":null},"html":"This project provides a dynamic pricing recommendation system using advanced machine learning and big data analytics. The system takes into account local competition, customer reviews, seasonal trends, and other relevant factors. A user-friendly GUI is included for ease of use.
"}},{"node":{"frontmatter":{"date":"2025-02-28","title":"Fitness-Workout-Insights-A-Tableau-Data-Analysis-Project","tech":["Tableau"],"github":"https://github.com/hemangsharma/Australian-Real-Estate-Prediction-Model-Project","external":"https://public.tableau.com/app/profile/hemang.sharma6675/viz/DataAnalysis_17409761323500/Dashboard?publish=yes","ios":null,"android":null,"company":null},"html":"This project explores fitness and health trends using Tableau, analyzing key metrics such as heart rate, workout intensity, VO2 Max, steps, calories burned, and more. The dataset contains 10,000+ workout records, allowing for deep insights into gender, age, BMI, and performance factors.
"}},{"node":{"frontmatter":{"date":"2025-02-20","title":"Dream-Analysis-Project","tech":["Python"],"github":"https://github.com/hemangsharma/Dream-Analysis-Project","external":null,"ios":null,"android":null,"company":null},"html":"This project is designed to analyze and interpret dreams using pre-trained sentiment models and NLP techniques. It helps users gain insights into their dream patterns, emotions, and themes by analyzing the textual descriptions of their dreams. Historical data is also leveraged to provide a comprehensive understanding of an individual's dream tendencies.
"}},{"node":{"frontmatter":{"date":"2025-02-20","title":"NASDAQ Data Analysis","tech":["Python"],"github":"https://github.com/hemangsharma/DataAnalysis","external":"https://nasdaqdashboard.streamlit.app/","ios":null,"android":null,"company":null},"html":"This repo contains analysis like a dashboard and time series forecast on NASDAQ data. Created interactive dashboards using Tableau, Power BI, or D3.js to visualize a dataset.
"}},{"node":{"frontmatter":{"date":"2025-02-10","title":"Secure Messaging Service","tech":["Python"],"github":"https://github.com/hemangsharma/SecureMessagingApp","external":null,"ios":null,"android":null,"company":null},"html":"A simple yet secure RSA-based encryption and decryption tool for text messages. The application allows users to generate or upload cryptographic keys, encrypt messages, and decrypt messages using a private key.
"}},{"node":{"frontmatter":{"date":"2025-01-28","title":"Australian-Real-Estate-Prediction-Model-Project","tech":["Python"],"github":"https://github.com/hemangsharma/Australian-Real-Estate-Prediction-Model-Project","external":null,"ios":null,"android":null,"company":null},"html":"This project aims to develop an accurate prediction model to guide property investment decisions in Australia. By leveraging comprehensive real estate data, the model will provide insights into market trends, regional preferences, and property valuation. The ultimate goal is to help stakeholders make informed investment choices by understanding the factors that drive property prices and demand.
"}},{"node":{"frontmatter":{"date":"2025-01-02","title":"Investment-Prediction-Project","tech":["Python","pandas","requests","yfinance","alpha_vantage"],"github":"https://github.com/hemangsharma/Investment-Prediction-Project","external":null,"ios":null,"android":null,"company":null},"html":"This project is designed to predict trends and prices for stocks, shares, ETFs, commodities, and currency exchange rates. The goal is to provide actionable insights for investors based on data-driven predictions and analytics. The project incorporates advanced machine learning models, technical analysis, and sentiment analysis to deliver high-quality predictions and investment recommendations.
"}},{"node":{"frontmatter":{"date":"2024-12-03","title":"Visual Question Answering (VQA) System for Medical Images","tech":["Python","JavaScript","CSS","HTML"],"github":"https://github.com/jvlaguer/iLab-10-1","external":null,"ios":null,"android":null,"company":null},"html":"Visual Question Answering (VQA) for medical images is an advanced task in the field of medical imaging and artificial intelligence. This project aims to bridge the gap between image recognition and medical knowledge, enabling machines to comprehend and interpret the content of medical images (such as X-rays, MRIs, and CT scans) and subsequently answer questions posed in natural language based on that content. The goal is to develop a VQA system specifically designed for medical images to aid healthcare professionals in medical diagnosis and patient care.
"}},{"node":{"frontmatter":{"date":"2024-11-19","title":"Interpretation of Loss and Accuracy for a Machine Learning Model","tech":null,"github":null,"external":"https://github.com/hemangsharma/Interpretation-of-Loss-and-Accuracy-for-a-Machine-Learning-Model","ios":null,"android":null,"company":null},"html":"An article about \"Interpretation of Loss and Accuracy for a Machine Learning Model\"
"}},{"node":{"frontmatter":{"date":"2024-11-03","title":"Image Processing and Feature Extraction","tech":["Python","Jupyter Notebook"],"github":"https://github.com/hemangsharma/Image-Processing-and-Feature-Extraction-Notebooks/","external":null,"ios":null,"android":null,"company":null},"html":"This repository contains two Jupyter notebooks designed to demonstrate the fundamental steps of image preprocessing and feature extraction. These processes are essential for preparing images as input for machine learning models. Each notebook walks through a series of techniques to transform and analyze images, using Python libraries such as OpenCV, NumPy, Matplotlib, and scikit-image. Below is an outline of each notebook’s purpose and key steps.
"}},{"node":{"frontmatter":{"date":"2024-10-10","title":"Music-Data-Analysis-Project","tech":["Python","pandas","matplotlib","seaborn","datetime","requests","beautifulsoup4"],"github":"https://github.com/hemangsharma/Music-Data-Analysis-Project","external":null,"ios":null,"android":null,"company":null},"html":"The objective is to derive insights about music preferences and trends over time, including the most played songs and artists, genre trends, and listening habits.
"}},{"node":{"frontmatter":{"date":"2024-09-16","title":"Josephus Problem Solver","tech":["Python"],"github":"https://github.com/hemangsharma/josephus-problem-solver","external":null,"ios":null,"android":null,"company":null},"html":"A GUI application to solve the Josephus problem, a classic mathematical puzzle.
"}},{"node":{"frontmatter":{"date":"2024-09-06","title":"Hotel-Reviews-Analysis","tech":["Python","Jupyter Notebook","pandas","matplotlib","seaborn","wordcloud","textblob"],"github":"https://github.com/hemangsharma/Hotel-Reviews-Analysis","external":null,"ios":null,"android":null,"company":null},"html":"This Jupyter Notebook provides a comprehensive analysis of Highfield Private Hotel reviews, aiming to gain insights into guest satisfaction and identify areas for improvement.
"}},{"node":{"frontmatter":{"date":"2024-09-04","title":"YouTube-Trending-Data-Lakehouse-with-Snowflake","tech":["SQL","Snowflake","Azure","Excel"],"github":"https://github.com/hemangsharma/YouTube-Trending-Data-Lakehouse-with-Snowflake","external":null,"ios":null,"android":null,"company":null},"html":"The goal of this project is to analyze a dataset of trending YouTube videos by leveraging a Data Lakehouse architecture using Snowflake.
"}},{"node":{"frontmatter":{"date":"2024-08-29","title":"TravelMap | A React Project","tech":["React.js","HTML","CSS","Javascript","Github Pages","Netlify"],"github":"https://github.com/hemangsharma/travel","external":"https://sparkling-selkie-aea2e7.netlify.app.","ios":null,"android":null,"company":null},"html":"The TravelMap project is a React application that visualizes past and future travel locations on an interactive map. It uses Leaflet.js for mapping, Turf.js for geographic calculations, and Papa Parse for CSV parsing.
"}},{"node":{"frontmatter":{"date":"2024-08-10","title":"mac_changer","tech":["Python"],"github":"https://github.com/hemangsharma/mac_changer","external":null,"ios":null,"android":null,"company":null},"html":"This Python script allows you to fetch, store, and temporarily change the MAC address of your network interface on macOS, Linux, and Windows. Once you close the program, the MAC address is reverted back to its original value.
"}},{"node":{"frontmatter":{"date":"2024-07-24","title":"Color-Detection-Application","tech":["Python","Jupyter Notebook","OpenCV","pandas","numpy"],"github":"https://github.com/hemangsharma/Color-Detection-Application","external":null,"ios":null,"android":null,"company":null},"html":"This application detects the color name of any pixel in an image by clicking on it. It uses OpenCV for image processing and pandas to read the color data from a CSV file.
"}},{"node":{"frontmatter":{"date":"2024-07-22","title":"UME Potts Point Portal","tech":["Python","Flask library","HTML","CSS","JavaScript","Pythonanywhere"],"github":"https://github.com/hemangsharma/UmePottsPoint","external":"https://ume.pythonanywhere.com","ios":null,"android":null,"company":null},"html":"This project solves several problems and reduces reliance on manual work and paperwork in the following ways:
\nThis repository contains code for a webpage containing social media information.
"}},{"node":{"frontmatter":{"date":"2024-06-24","title":"UME-Potts-Point-Maintenance-Form","tech":["Python","Flask library","Pythonanywhere"],"github":"https://github.com/hemangsharma/UME-Potts-Point-Maintenance-Form","external":"http://coffeemandalorian.pythonanywhere.com","ios":null,"android":null,"company":null},"html":"This project is a web application built using Flask that allows residents of UME Potts Point to submit maintenance requests via an online form. The submitted data is stored in a CSV file, which is organized by the current month and year.
"}},{"node":{"frontmatter":{"date":"2024-04-24","title":"Image-Captioning-Program","tech":["Python"],"github":"https://github.com/hemangsharma/Image-Captioning-Program","external":null,"ios":null,"android":null,"company":null},"html":"This project builds an image captioning model that will analyse input images and generate a short description.
"}},{"node":{"frontmatter":{"date":"2024-03-29","title":"Desk Height","tech":["Python"],"github":"https://github.com/hemangsharma/DeskHeightCal","external":"https://hemangsharma.github.io/DeskHeightCal/","ios":null,"android":null,"company":null},"html":"This project will help in determining the ideal table height whether you're sitting or standing
"}},{"node":{"frontmatter":{"date":"2024-03-28","title":"HopsGraphVisualization","tech":["Python","Jupyter Notebook"],"github":"https://github.com/hemangsharma/Hops-Graph-Visualization","external":null,"ios":null,"android":null,"company":null},"html":"This Jupyter Notebook generates and visualizes a hops graph based on user input. The hops graph starts from a single node 'A' and extends to multiple nodes based on the number of hops specified by the user. It uses NetworkX and Plotly libraries for graph generation and visualization, providing an interactive and detailed representation of the hops graph.
"}},{"node":{"frontmatter":{"date":"2024-03-20","title":"Wage Calculator","tech":["Python","tkinter","pandas","tkcalendar"],"github":"https://github.com/hemangsharma/WageCal","external":null,"ios":null,"android":null,"company":null},"html":"This Python application provides a user-friendly graphical interface for calculating wages based on hours worked, hourly rates, and other parameters.
"}},{"node":{"frontmatter":{"date":"2023-12-24","title":"Wordpress Site for Highfield Private Hotel","tech":["Wordpress"],"github":null,"external":"https://highfieldhotel.com.au","ios":null,"android":null,"company":null},"html":"The owner of the Hotel apporached me and requested me to build specifically a basic webiste using Wordpress only.
"}},{"node":{"frontmatter":{"date":"2023-11-09","title":"Web App for CSV Exploration","tech":["Python","Jupyter Notebook","Streamlit","Pandas","Altair Visualization Library"],"github":"https://github.com/Jyotikhurana18/DSP-AT3","external":null,"ios":null,"android":null,"company":null},"html":"This web application is designed for exploring and analyzing CSV files. It provides several functionalities for examining the contents of a CSV file, including the ability to view data frames, analyze numeric and text columns, and explore date and time information. The application aims to make data exploration and analysis more accessible and user-friendly.
"}},{"node":{"frontmatter":{"date":"2023-10-29","title":"Market Campagin Analysis using Logistic Regression and Random Forest","tech":["Python","Jupyter Notebook"],"github":"https://github.com/hemangsharma/36103_STfDS_Assignment3","external":null,"ios":null,"android":null,"company":null},"html":"This project analysis a marketing campaign's success using customer data. Logistic Regression and Random Forest models were built, with the Random Forest model performing better. Feature importance identified crucial attributes, helping target campaigns. Responsiveness analysis by month revealed optimal and low-responsive periods. The 'account_balance' feature categorised customers' account balances and showed that those with 'high' balances were most responsive. The report provides actionable insights to enhance campaign effectiveness.
"}},{"node":{"frontmatter":{"date":"2023-10-05","title":"Currency Converter in Python","tech":["Python","Jupyter Notebook","Streamlit"],"github":"https://github.com/hemangsharma/94692_Data_Science_Practice_Assignment_2","external":null,"ios":null,"android":null,"company":null},"html":"Currency Converter is a Python web application that allows users to convert between different currencies. This application leverages the Frankfurter API to fetch the latest exchange rates and historical rates for various currencies.
"}},{"node":{"frontmatter":{"date":"2023-06-21","title":"MusicSuggestionPy","tech":["Tkinter","Sklearn","Pandas"],"github":"https://github.com/hemangsharma/MusicSuggestionPy","external":null,"ios":null,"android":null,"company":null},"html":"This projects create an AI model in Python to guess the mood of a person based on person's music preference. The user has to enter tempo, loudness, valence and energy, so the AI can suggest their current mood
"}},{"node":{"frontmatter":{"date":"2023-05-23","title":"Rain Predicition ML Model in Sydney","tech":["Python","Jupyter Notebook"],"github":"https://github.com/hemangsharma/Assignmnet2_DSI_36100","external":null,"ios":null,"android":null,"company":null},"html":"The objective of this project is develop a predictive classifier to predict the next-day rain on the target variable RainTomorrow
"}},{"node":{"frontmatter":{"date":"2023-05-14","title":"Toxicity Classsification Model","tech":["Python","Jupyter Notebook"],"github":"https://github.com/hemangsharma/Toxicity-Classsification-Model","external":null,"ios":null,"android":null,"company":null},"html":"A model that recognises toxicity and minimises bias with respect to mentions of identities. If a comment made by the user is passed through this model, it will predict the toxicity of the comment.
"}},{"node":{"frontmatter":{"date":"2023-05-09","title":"Customer Lifetime Value","tech":["Python","Jupyter Notebook","Pandas"],"github":"https://github.com/hemangsharma/36106_UTS_Assignment3","external":null,"ios":null,"android":null,"company":null},"html":"This project predicts customer's lifetime value (CLV) using a data provided by MLAA bank. By predicting CLV through transactional histories, a forecast into the customer's lifetime value to Bank MLAA may be understood. From a business perspective, the objective is to recognise customers which frequently demonstrate high value and formulate marketing strategies to enhance customer retention to ultimately increase profitability. Predicting CLV offers Bank MLAA the capacity to allocate resources and customise personalised offers to optimise customer satisfaction and loyalty.
"}},{"node":{"frontmatter":{"date":"2023-05-09","title":"Tetris Game using Python","tech":["Python"],"github":"https://github.com/hemangsharma/Tetris","external":null,"ios":null,"android":null,"company":null},"html":"A clone of tetris game created using Python
"}},{"node":{"frontmatter":{"date":"2022-05-18","title":"Dice Game","tech":["Python","Jupyter Notebook","MATLAB"],"github":"https://github.com/hemangsharma/B.Tech","external":null,"ios":null,"android":null,"company":null},"html":"Dice Game, is a standalone multiplayer game created using MATLAB App. Each player will roll the dice and player having bigger number in each roll will get a chance to perform action of choice (heal action or attack action). GUI and animations are created using MATLAB and machine learning model is built using Python programming language. The objective of machine learning model is to predict the winning probability of each layer.
"}},{"node":{"frontmatter":{"date":"2021-09-16","title":"CatchIn AR","tech":["Swift","Xcode"],"github":"https://github.com/hemangsharma/CatchInAR","external":null,"ios":null,"android":null,"company":null},"html":"Meet Catch in AR the first of its kind Augmented Reality game. Get ready to catch birds in your own environment.
\nHow to play:
\nYou have 60 seconds to catch as many birds as you can.\nTo catch a bird just walk past the bird.
"}},{"node":{"frontmatter":{"date":"2021-06-26","title":"Calculator","tech":["Python"],"github":"https://github.com/hemangsharma/Calculator","external":null,"ios":null,"android":null,"company":null},"html":"A GUI based calculator created using Python for macOS and Windows
"}},{"node":{"frontmatter":{"date":"2021-06-26","title":"RSSFeedParser","tech":["Python"],"github":"https://github.com/hemangsharma/RSSFeedParser","external":null,"ios":null,"android":null,"company":null},"html":"A GUI based simple RSS feed parser created using Python
"}},{"node":{"frontmatter":{"date":"2021-06-23","title":"Clock","tech":["Python"],"github":"https://github.com/hemangsharma/Python-Clock","external":null,"ios":null,"android":null,"company":null},"html":"A simple GUI based clock created using Python for Windows and macOS
"}},{"node":{"frontmatter":{"date":"2021-05-21","title":"BMI Calculator","tech":["Python"],"github":"https://github.com/hemangsharma/BMI-Calculator","external":null,"ios":null,"android":null,"company":null},"html":"A GUI based BMI Calculator created using Python
"}},{"node":{"frontmatter":{"date":"2021-05-09","title":"A* Algo","tech":["Python"],"github":"https://github.com/hemangsharma/A-Search-Algorithm","external":null,"ios":null,"android":null,"company":null},"html":"A simple implementaion of A* Search Algorithm using Python
"}},{"node":{"frontmatter":{"date":"2021-05-09","title":"Text-To-Speech using Kotlin","tech":["Kotlin","Android studio"],"github":"https://github.com/hemangsharma/text-to-speech-Kotlin","external":null,"ios":null,"android":null,"company":null},"html":"This GitHub repository houses Kotlin code for implementing Text-to-Speech (TTS) functionality. With this code, you can easily convert textual content into high-quality speech output, making it an ideal resource for developers looking to incorporate TTS capabilities into their Kotlin projects.
"}},{"node":{"frontmatter":{"date":"2021-02-04","title":"Gesture Controller for VLC","tech":["Python"],"github":"https://github.com/hemangsharma/Gestured-control-for-video-player","external":null,"ios":null,"android":null,"company":null},"html":"A Geasture controller for VLC Media Player.
"}},{"node":{"frontmatter":{"date":"2020-09-15","title":"Noughts-And-Crosses","tech":["Swift","Xcode"],"github":"https://github.com/hemangsharma/Noughts-And-Crosses","external":null,"ios":null,"android":null,"company":null},"html":"A simple game of Noughts-And-Crosses built for iOS using Swift
"}},{"node":{"frontmatter":{"date":"2018-10-12","title":"Certificates","tech":["HTML","CSS"],"github":null,"external":"https://certificates.sharmahemang.com","ios":"","android":"","company":null},"html":"This project was created as a part of High School curriculum
"}}]}},"pageContext":{}}, "staticQueryHashes": ["2000775509","3158224377","3825832676","4162897811","572289192"]}