Sanchari Ray

I am a

About Me

I am a Final year student pursuing Computer Science Engineering at Kalinga Institute of Industrial Technology (KIIT) Bhubaneswar. • Has Experience in using software development tools such as AWS Cloud9, GITHUB and ATOM, knowledge of the various architectures like X86. • Programming languages familiar with but not limited to :C, C++, HTML, CSS, PHYTON(SciPY), JAVASCRIPT,SQL • Currently learning Express | ReactNative and polishing DSA skills. • Tools I can use: VS Code , Git, Git Hub , Android studio , UBUNTU. • Interested in the fields of CyberSecurity, Machine Learning ,Deep Learning, Blockchain,Computer Vision. • Currently persuing my online course in Blockchain and Cybersecurity. • In addition to my technical skills I am a dedicated and collaborative team player, with excellent problem-solving abilities and strong communication skills. I am actively searching for SDE2, Senior Data Analyst , Data Science Engineering or Data Engineering roles. I would be glad for any opportunities, suggestions or mentoring. Please feel free to reach out to me on LinkedIn.

Sanchari Ray

Experienced in Software Development, Data Analytics & Engineering , Machine Learning and Data Science. Cloud-ready with AWS. Fluent in C++, Python, SQL, Git. Efficient in DSA & System Design. Passionate about coding & tech.

Since I am familiar with working in many domains, I have gained skills in many technologies. But, if you would like to know about my favourite area, I love tinkering with data, as the data might unflods an unheard story!.

  • Age: 21
  • Degree: B.Tech in Computer Science
  • Email: raysanchari930@gmail.com
  • Location: India

😇 Current Status

🔭 I’m currently working on Backend projects
🌱 I’m currently learning more on MERN , and Advanced Data Structures.
👯 I’m also looking to collaborate on open-source projects, but I must feel aligned with the objectives of the project first.
💬 Feel free to ask me about Python, SQL, Machine Learning and Data Science.
🏢 If you are recruiter looking up my profile, I am interested to work at your organization.

Skills

While I showcase my skills below, I must tell you that I am a quick learning individual. And not only that, I am adaptive to the rapidly changing environment. That's why I keep working towards improving my learnt skills.

Python80%
C++ 90%
Tableau 75%
Git & GitHub 80%
SQL & MySQL Server 80%
ML Frameworks 70%
AWS75%
Data Structures & Algorithms 80%
HTML-CSS-JS 80%
Object Oriented Programming 90%

Resume

Here is my resume. You can download it in PDF format as well if you are more interested.

Summary

Sanchari Ray

Problem-solving & goal-driven Software Developer with 3+ years of self-gained skills in designing and developing user-centred projects from the initial concept to the final, polished deliverable. I have created all of my projects from scratch and, now I am willing to work in the office environment.

  • Kolkata, IN
  • raysanchari930@gmail.com

Education

Computer Science & Engineering (8.7 CGPA Uptil 6th semester)

2020 - 2024

Kalinga Institute of Industrial Technology

  • Technical Courses: Data Structures and Algorithms, Machine Learning, Operating Systems, Object Oriented Programming, Database Management Systems, Artificial Intelligence ,Data Analysis , Cloud Computing

Senior Secondary School

2018 - 2020

West Bengal Board of Higher Secondary Education

  • Board Exam Marks: 89.1%
  • Courses: Physics, Chemistry, Mathematics, Biology , English

High School

2017 - 2018

West Bengal Board of Secondary Education

  • Board Exam Marks: 89%
  • Courses: Science, Mathematics, Information Technology , English

Professional Experience

Data Science Intern

May 2023-September 2023

Samagra Development(C4GT)

  • Designed a high-performance asynchronous document embedding uploader API using NLP technology.
  • Integrated NLP libraries and algorithms to extract and analyze textual information from various document formats, including PDF, DOCX, and TXT.
  • Established comprehensive error-handling mechanisms to identify and gracefully manage exceptions during document processing and decreased errors by 70%.

Developer Intern

May 2023 - July 2023

Salesforce

  • Orchestrated seamless collaboration with the Salesforce development team, leveraging expertise in Apex code and Visualforce pages to enhance and maintain Salesforce applications. Improved system efficiency by 30%, reduced manual data entry by 40%, and streamlined interdepartmental workflows
  • Developed and enforced Lightning components to revolutionize user interface and navigation within Salesforce applications; increased user interaction and satisfaction by 80 %.

Achievements

My Achievements

Pragati Merit Scholarship-Technical Degree 2021

  1. Top 20 amongst 5000+ Applicants all across India

Qualified to the 1st Round of Academic Grand Challenge on Climate Change 2022.

  1. Top 50 teams out of 4000+ teams all across India

Flipkart GRiD Semi-Finalist 2022

  1. Top 1200 teams out of 60,000+ teams all across India and United States

AWS AI ML SCHOLAR 2023

  1. Selected for the winter cohort for a Nanodegree Program among 1000+ Applicants.

Projects

Here are the projects on which I am most proud of. Not only that, there are several many other smaller and less significant projects which helped me in improving my skills throughout my learning process.

Gender and Age Detection System

In this Python project, I used deep learning to precisely determine a person's gender and age using just one photograph of their face.'Male' or 'Female' may be the expected gender, and '0 - 2', '4 - 6', '8 - 12', '15 - 20', '25 - 32', '38 - 43', '48 - 53', or '60 - 100' may be the predicted age, with 8 nodes in the final softmax layer. Due to elements like cosmetics, lighting, obstacles, and facial expressions, it is quite challenging to determine an exact age from a single image. I decided to make this a classification problem rather than a regression problem.

Customer Profiling

This project helps any company or market to target their desired customers or clients by clustering people according to their needs, behaviour and preferences so that they could improve their overall business performance.

Multiple-Disease-Prediction-System-Using-Streamlit

The Multiple Disease Prediction System is a web-based application developed using Streamlit framework that allows users to input values for certain symptoms and the system will predict if the user have Diabetes , Heart Disease or Parkinson's Disease. This system aims to assist users in identifying potential diseases quickly and conveniently, promoting early detection and timely medical intervention.

YouTubeSynops

As the name suggests, this project summarizes YouTube transcript for the given Video URL. The Flask Server API handles this summarization request, and gives the result in JSON. The flask server has the "business logic" with various algorithms. This request can be made by any kind of client such as Web, Chrome Extension,or even a Command Line Interface.

Phishing Site Detection

A FastAPI application designed to predict the likelihood of a website being a phishing site. This repository contains the code and resources necessary to deploy and run the application. With the help of machine learning, this project aims to enhance cybersecurity efforts by identifying potential phishing sites accurately.

ClimaMate

A simple, beautiful, and responsive weather application. It provides current and 6-days weather foreacast using OpenWeather API.

Stock Price Prediction

This project utilizes Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices. For data with timeframes recurrent neural networks (RNNs) come in handy but recent researches have shown that LSTM, networks are the most popular and useful variants of RNNs.

CIFAR-10-Object-Recognition-using-ResNet50

This project aims to demonstrate object recognition on the CIFAR-10 dataset using the ResNet50 deep learning model. The CIFAR-10 dataset consists of 60,000 32x32 color images across 10 different classes, with 6,000 images per class. The ResNet50 model is a convolutional neural network architecture that has achieved state-of-the-art performance on various image classification tasks.