Ishan Bhagat

Experienced computer science graduate with a strong academic background, with expertise in operating robust analytic applications, demonstrating leadership in managing the full lifecycle of IT application projects, delivering high-impact solutions from analysis to deployment, and maintenance. I am driven by a desire to contribute to society and have dedicated my skills and time to meaningful causes during challenging times.

Project Management System Web Application For Students to Manage their B-Tech Projects 

● Developed a Project Management System that helps students and mentors to interact with each other. Faculty can add the tasks regarding the topic of the project to the group.In this project we build a website to manage projects. 

● System Requirements: Web server- Apache HTTP server. Backend Programming Language - Python. Framework - Django. Database - PostgreSQL. Frontend - HTML, CSS, JS. 

● Hybrid models are used such as using agile when there is uncertainty, complexity, and risk in the development phase of the project. 

● Applications have six types of users: Project Creator, Guide, Student, Head of Department, Industry Mentor, Department project coordinator. 

● Used a SSR (Server Side Rendering) application with MVC architecture with the Django framework for the user in future scenarios. 

Cricket Data Analysis 

● Project to solve the problem of predicting the results of games by identifying the important attributes from the data set. 

● The methodology consists of 5 different phases i.e., Data Set Generation, Data Cleaning, Attribute Selection, Data Mining and Analysis of Results. Each of these phases was part of my project milestones submitted and I had created a Gantt chart to keep track of the timeline. 

● Focused on statistical data i.e. batting records, bowling records etc. so to solve the problem of predicting the results of games by identifying the important attributes from the data set this project was developed. 

● Implemented a predictive analysis on the provided cricket dataset using python with pandas, matplot library. 

● Combined analysis on the basis of attributes is performed to get an overall prediction of the runs, wickets etc. 

● A multiple regression model is tested to develop a prediction model. Anaconda navigator(Jupyter Notebook). 

● System Requirement: To implement prediction on the given dataset the system. requirements: OS: Windows 10/XP/7 .Software: Anaconda Navigator (Jupyter Notebook) Programming language: Python. Libraries used: Pandas.

Temperature Monitoring System 

● This project discusses the design of a wireless temperature monitoring system for industrial application. The temperature sensor detects the surrounding temperature before transmitting it to a receiver. At the receiver, the temperature will be displayed on a portable computer for ease of monitoring. 

● Objective was to Monitor the temperature. Make a graph for easy understanding and predicting the temperature. To decline or avoid the loss of useless production of medicine. Warn or send Email regarding temperature. 

● Built the circuit for the temperature monitoring system, using the Bolt and LM35 sensor, that will be helpful for the pharma companies. 

● System Requirements: HARDWARE REQUIREMENTS The Bolt WIFI module, 3 female to male wire, Temperature Sensor: LM35 sensor. SOFTWARE REQUIREMENTS Software: Python 3.6 with libraries installed. Operating System: Windows or any equivalent OS.

• Certification of Google in Fundamentals of Digital Marketing.
• Certification of IDBI intech in Banking and Technology Innovation.