About Me

Graduated from Neotia Institute of Technology Management and Science (NITMAS, West Bengal) affiliated to MAKAUT, I strongly affirm my strength in Data Science, Machine Learning and Software Engineering. Other than, having implemented various projects on Data Science domain, I've also completed various trainings and internships in these fields.

Software Engineer

• DOB:06 August, 2001
• Gender:Female
• Contact:7501369588
• Location:Kolkata, West Bengal

• Degree:Bachelor of Technology
• Stream:Computer Science & Engineering
• Domain of work:Data Analysis, ML & Web Design
• Available for Hiring!!

Objectives

Looking for a challenging role as a developer in a reputable organization to utilize my technical, database and management skills for growth of the organization as well as to enhance my knowledge about new and emerging trends in the IT sector.

Skills

I can confidently claim to have a strong knowledge in software engineering, including the SDLC and introductory knowledge in the field of software testing. Not only this, but also I have a deep practical knowledge in AI/ ML and data science by implementing several practical use-case projects.

Resume

Having completed my education, I've applied the theoritical concepts into practical implementations, by indulging myself in various trainings, successfully completed various internships on different domains and have built a lot of real-time use case projects.

Projects

Implemented projects on different domains, mainly, Web design and development, Machine Learning and Artificial Intelligence.

Light monitoring for plants using IoT and Wi-Fi module

In this project, we will build a system so that we could monitor the light our plants get and send the data to Bolt Cloud.

Controlling LED using bolt Wi-Fi module

Bolt allows us to easily control the power in LEDs.

Database Implementation on Routine Management System

Developing a database on routine management system from scratch - building ER model, collecting relevant functional dependencies followed by normalization.

Temperature Prediction using Polynomial Regression

The system predicts the temperature values of the future instance. We have to tune the model according to the environment and the criteria that we want to achieve.

Temperature Convertion website

The website inputs temperature in either Fahrenheit or Celsius and converts it into the other unit.

Regression Model to Predict Cement Compressive Strength

This involves a regression model under supervised learning.

Classification Model to Identify Multiple Disease Project

This project aims to provides a user friendly platform to cross validate results at go and to spread general awareness and provide precautionary measures.

Classification Model to Identify Employee Attrition Project

Predicting that employee will leave the current company (or will resign from the current company) and we will do this using several machine learning algorithms.

Detecting phishing websites using Supervised Learning

Enhance cyber security measures to aware a user about the legitimacy of a website.

Achievements

Apart from the educational degree, here I present few of my most important accomplishments.

Connect with Me