Computer Vision
Face Mask Detection TFOD and Faster-RCNN. | Personal Protective Equipment Detection using TFOD and Faster-RCNN. |
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This project uses the TFOD API built by google’s tensorflow team and faster-RCNN to detect whether a person is wearing a mask or not. Read more to find out about faster-rcnn and the specifications of the project. | This project uses the TFOD API built by google’s tensorflow team and faster-RCNN to detect whether a person is wearing personal protective equipment or not. Read more to find out about faster-rcnn and the specifications of the project. |
ML Projects
Property Price Estimation using Webscrapping and Machine Learning with Heroku deployment. | Stock Market Articles Sentiment Analysis using NLP,MongoDB and Unsupervised Machine Learning. |
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Complete end to end project of predicting property prices in Mumbai from Scrapping data, feature engineering, Visualization, model creation and deployment | This project uses webscrapping, various NLP techniques and TF-IDF to determine the positive or negative sentiment of articles scrapped from a certain website. |
Neural Network Projects
Metal Casting product image classification for quality inspection using Pytorch. | Classification of Animals in the wild using CNN models and Tensorflow (Keras) |
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The objective of this project is to automate the process of finding defects in the casting process. A casting defect is an undesired irregularity in a metal casting process. This post has also been featured in jovian.ml’s medium publication. | I started learning about Neural Networks and different model architectures in CNN. Here I am writing about 4 model architectures and what were my findings when I trained my image set on these 4 models. The article was written for learning purpose only and to get a better understading of the improvements we see across these models. |
Python Apps
Building a review scrapper web app with heroku deployment for collecting data. | Building an image scrapper for collecting image data. |
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The objective of this project was to get an overall understanding of how the deployment process works and learn new things like using pycharm, getting files to download from a web app, scrapping a web page and navigating a web page using beautiful soup. | The objective with this project was to learn how to scrap images from the web and also create a tool to collect image data for object classification projects. |
Exploratory Data Analysis
Exploring various parameters that affect restaurant ratings on Zomato. | Analyzing FitBit data of a user. |
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Zomato is an online delivery company that acts as a medium to connect many customers and restaurants. Here we are trying to figure out the factors affecting the establishment of various restraurants across bengaluru and are trying to predict the kind of rating a restraurant is likely to receive based on various factors. | Fitness bands often collect a lot of data of each user with respect to their day to day activities. We are lookking at some of the parameters collected from a FitBit of a user to tell us a liitle more about their daily activity and show the user how they can improve their routines and where they are lacking. |
More EDA projects here
Tableau Projects
Analysing sales data of the sample supertore dataset. |
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I decided to analyze the superstore dataset on tableau to give infferences with regards to brands. I tried to focus on how the product categories and brands are performing by region and customer segments. |
A procurement analysis of inventory. | Returns analysis of a british company. |
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Analysing procurement data of a company to give an idea about where their inventory is stored and what is taking up maximum inventory based on different parameters. | Using Tableau, give the forecast of Sales for the next year as well as the probability of refunds category wise for a year. This will help to plan the next steps to avoid the refunds. |
A Foreign Direct Investment case study. | Analyzing HR data to see employee distribution. |
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Analysis of Foreign Direct Investment data over 17 years across various sectors of India. | Analysis of HR data of a company to make inferrences related to the companies work force. |
Power BI Projects
Creating visualizations to provide cost insights and manage inventory for miscellaneous items. |
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The visualizations done here show the purchase activities of a company and will help the company keep track of their expenses. |
Visualizing Sales Performance of a retail store business to give relevant insights. | Converting Company Data into meaningful visualizations for Management Insights. |
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A retail chain company is trying to analyze their overall sales performance using a visualization tool. | A certain Company is trying to get key management insights reflecting the companies performace by year and quarter. |
SQL Projects
Analyzing website traffic data to show overall company growth using MySQL. | Creating a growth story for a company’s next round of funding using MySQL. |
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Mavenfuzzyfactory has been live for 8 months and the CEO is due to present company performance metrics to the board next week. I have been tasked to prepare relevant metrics to show the company’s promising growth. | Mavenfuzzyfactory’s CEO is close to securing its next round of funding and she needs our help to tell a compelling story to investors. We’ll need to pull the relevant data, and help her craft a story about a data-driven company that has been producing rapid growth. |
Talend Projects
Merging multiple excel sheets and converting all features into a common format. | Extracting columns out of Nifty dataset and creating our own columns using Tmap. |
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The project here was done in my final year of my MBA Tech course at NMIMS. It consisted of 3 sheets within a csv file having columns in different formats. We had to combine the 3 sheets and select one standard format for the final output. This was also our final project for this course. | This project was done in Talend as part of our course curriculum at NMIMS in my final year. It involve testing us on usage of tmap for modification of a file and extracting data from a file. It also involves creating new columns from existing data. |