I am RAHUL BORDOLOI.
I'm a Computer Science Finalite Student at KIIT University, Bhubaneswar who is seeking opportunities in the field of Data Science and Software Development. Skilled in C++, Python,
Machine Learning, Deep Learning, Web Scraping, Software Development using Python with hands on experience in Web-based Product Development.
Willing to be proficient in creating Efficient Models and Algorithms for Software Applications and Products from the acquired
knowledge in solving practical problems and also contribute to the Open Source Community.
Extra Curricular Skills: Esports Gaming, Taekwondo, Football, Swimming, Art.
Using Python, Selenium, Scrapy, BS4
Using Platforms: Kali Linux, Windows
Using Flask, Restful APIs, SQL/NoSQL
A Basic Web Scrapping Project using Python.
Scrapping Craigslist website using Selenium, Beautiful Soup to obtain desired results, and storing them off in a CSV for further work.
A Basic Deep Learning Project using OpenCV, Keras, Tensorflow and ResNet.
It is a Mask Detection Program to make people aware for wearing masks and protect themselves during the Corona pandemic.
AI-Enabled B2B Fin-Tech Management Dashboard for Accounts Receivables
Developed a Full Stack Dashboard Application using React, Node, Java EE, Flask, Restful APIs, SQLServer powered by Machine Learning and Dialogflow Fulfillment.
It's a Simple Bot/Agent which will act as a guide for self assessment of probable risks from corona virus and increase awareness about the pandemic. It answers any type of questions related to the pandemic and also tells you about the pandemic's statistics when asked for. The Bot can be also be asked about myths and rumours related and it also has the capability to mail a detailed report regarding the pandemic to the user.
COVID-19 General Awareness and Analytics Dashboard (Ongoing)
Application to spread General Awareness about Corona Virus and show analytics based on News Authenticity and also perform Sentimental Analysis of Tweets according to a given time of reference. It also provides a chat-bot to raise awareness and ask general questions regarding the deadly virus.
EDA on Employee Attrition
A Basic Data Analytics and ML Project
It aims to perform Exploratory Data Analysis on Employee Attrition Dataset provided and form an insightful report on it along with designing of an ML Algorithm to predict the ones leaving the company and control it accordingly.
Enhanced Analytic System for Smart University Assistance
College Minor Project.
An integration specific system development based on Agile Methodology to provide an easy solution for “newcomers” in college. It helps to allocate hostel rooms, suggest suitable stream, and provide daily class schedules and pending tasks. Moreover it makes an easy solution to students to do few tasks without the help of their mentors. It aims to ease daily routine queries faced by students new to campus, would ensure the prediction of the professions that can be pursued by aspiring engineering students after completion of course and also help to automate the counselling process.
Traffic Sign Classification
A Basic Deep Learning Project using CNN and Le-Net.
This Project uses Le-Net (a type of Convolutional Network) to predict type/class of Traffic Sign Provided before it making it the foundation of Self-Driving Cars.
To Predict : The Type/Class of Traffic Sign Provided
Predicting Crime Rate in Chicago
A Simple Machine Learning Project using Facebook Prophet Forecasting. The Chicago Crime dataset contains a summary of the reported crimes occurred in the City of Chicago from 2001 to 2017. To Predict : Future Crime Rate over a certain period along with its trends and bounds.
Movie Recommendation System
Implementing a Simple Movie Recommendation System using Item-Based Collaborative Filtering. Recommendation systems are used to suggest movies or songs to users based on their interest or usage history. To Predict : Recommend Movies based on User's recently watched Movies' Ratings and Interests.
Email/Message Spam Classifier
A Basic Machine Learning using NLP The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged according being ham (legitimate) or spam. To Predict: If an email/message is spam or ham.
CIFAR 10 Images Classification
A Basic Deep Learning Project using CNN.
CIFAR-10 is a dataset that consists of several images divided into the following 10 classes: Airplanes, Cars, Birds, Cats, Deer, Dogs, Frogs, Horses, Ships, Trucks. The Images have low resolution (32x32).
To Predict : The Type/Class of Images Provided using CNN.
Classifying YELP Reviews
A Basic Machine Learning Project using NLP. In this project, Natural Language Processing (NLP) strategies will be used to analyze Yelp reviews data. Yelp is a similar platform as that of Google Reviews. To Predict : If the customer is satisfied/happy with the services or not.
Forecasting Avocado Prices
A Simple Machine Learning Project using Facebook Prophet Forecasting. Predicting Future Avocado Prices using Facebook AI's Prophet given some historical data. To Predict : Price of Avocado over a certain period along with its trends and bounds.
Car Purchase Amount Prediction
A Basic Deep Learning Project using ANN. To develop a model to predict the total dollar amount that customers are willing to pay given some historical data. To Predict : Car Purchase Amount
Railway Reservation System
A Basic C++ Project.
Automation of the Railway Reservation System with the use of Object-Oriented Programming and Data File Technology using C++.
Lines of Code*
Assistant Manager for Data Science Department.
Contributing to Data Science R&D Projects and Flask Applications.
Responsible for Teaching in Online Live Classes, Preparing its Syllabus and Content Creator for Python and Machine Learning.
Responsible for the Development, Deployment of AI enabled B2B Fintech Applications.
Responsible for performing Analysis, Implement Perspective and Preparation of data for Visualization using stock price data feed.
Q&A Expert for the subject of Computer Science.
Worked under the Project of "RF Optimization and Network Planning", Bharti Airtel, NESA. Conducted thorough reviews of Tower Antenna operations to devise and deploy improvement strategies, facilitating consistent connection strength. Produced excel spreadsheets and updates with latest information with respect to Google Earth.
Microsoft Learn Student Ambassador August 2020 – Present. Microsoft
Learn Student Ambassadors are a global group of campus leaders who are eager to help fellow students, create robust tech communities and develop technical and career skills for the future.
Chapter Lead July 2020 – Present. GirlScript Guwahati Chapter
Managing GirlScript Guwahati Chapter.
GenZ Campus Ambassador May 2020 – June 2020 Pinakulo
Campus Ambassador for KIIT University.
Freelance Member Dec 2019 – Present. SuperDataScience
Freelancer ML-DL Project Researcher and Open Source Contributor.
Member Oct 2017 – Present. Koderunners
Competitive Coding Group: C++, Python.
Rarely I got any chance in my life to meet people with real talents and Rahul is one of them.I am fortunate enough to meet him as my classmate during graduation.With the power of logical and analytical skills he stands out in Competitive Programming.He has sound grasp on ML/AI domain.A great team player.I wish we get a chance to work together.I highly recommend Rahul.
14, Yamini Path, Janakpur, Kahilipara, Guwahati- 19, Assam, IN