Harshit Singh

• Utilized Power Bi for creating advanced dashboard.
Used Bookmarks, Hidden filter panel , Page navigation buttons,
• DAX , Tooltips, Employee's ranking, by revenue, etc. to track & analyze data.

The objectives of this Project are:
1. To Perform Exploratory Data Analysis
2. Find out business problems
3. Identify key areas for improving profits

Various Tasks done during Data Science and Analytics Internship.

This project uses data analysis and visualization to analyze the effects of the ongoing COVID-19 pandemic in India, and create visualizations for important observations made during the analysis.

Workflow of this project :

1. Importing needed libraries and generate the output video.
2. Recording and caching the background for each frame.
3. Detecting the red portion in each frame.
4. Replacing the red portion with a mask image in each frame.
5. Producing the surprising output.

In this project model has been trained by Support Vector Machine to predict whether a new patient has diabetes based on certain features.
This Project includes:
1. Creating a support vector machine and train it.
2. Making a medical diagnosis for a new patient using an SVM.
3. Evaluating the accuracy of the SVM classifier.

This project uses the streamlit library in python to build an interactive Webapp.
This Project consists of:-

-> Where are the most people injured in NYC?
-> How many collisions occur during a given time of day?
-> Top 5 dangerous streets by affected class (Pedestrians, Cyclists & Motorists)

I have also included Slider widget in my web app which updates dynamically through which we can know
-> Number of persons injured in vehicle collisions by… Show more

This project uses the streamlit library in python to build an interactive Webapp.
This Project consists of:-

-> Where are the most people injured in NYC?
-> How many collisions occur during a given time of day?
-> Top 5 dangerous streets by affected class (Pedestrians, Cyclists & Motorists)

I have also included Slider widget in my web app which updates dynamically through which we can know
-> Number of persons injured in vehicle collisions by sliding
-> At what time of day collisions happened Show less

This Project consists of animation of beautiful, interactive data visualization of GDP per Capita v's Life Expectancy of Countries.

This project consists of The Movie Database (TMDB) Box Office Prediction data set.
Problem Statement:
1. Can we build models to accurately predict movie revenue?
2. Could the results from these models be used to further increase revenue?
I have tried to answer these questions by way of exploratory data analysis (EDA) in this project. The statistical data visualization library Seaborn and Plotly is like a workhorse to generate interactive, publication-quality graphs.

harshit9665.github.io
Created my Own Portfolio :)

A user-friendly system that keeps the driver attentiveness by automatically detecting driver’s facial expression in a real-time video stream after by giving warnings through alarm and can play a song in accordance with their mood.

A Machine Learning model that can predict the no. Of admissions as well as No. Of admissions as well as no. Of placements in Engineering Colleges depending upon their current facilities and previous records. Using this an organisation would be able to know its current situation and the fields in which improvements can be done. Also, using this model a student can check whether there is a chance of getting admission into a preferred college, according to his academic record and skill set.

• The project aims to find the perfect location in a city so that a person can open his restaurant and can make his maximum profit according to his budget.
• It consists of a dataset of restaurants at various locations in Jaipur city,their cuisines with the cost for two persons, parking facility, free home delivery and several other parameters and it used to predict the maximum profit through machine learning model.
• This model also solves queries whose analysis are done through… Show more

• The project aims to find the perfect location in a city so that a person can open his restaurant and can make his maximum profit according to his budget.
• It consists of a dataset of restaurants at various locations in Jaipur city,their cuisines with the cost for two persons, parking facility, free home delivery and several other parameters and it used to predict the maximum profit through machine learning model.
• This model also solves queries whose analysis are done through MAPREDUCER. There is a use of container technology like Docker to train the Machine Learning model, automation using RedHat Ansible. Show less

Android app