RITWIKA CHAKRABORTY

Experienced Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Java/J2EE technologies, Spring, Restful Web-Services, ML methodologies. Currently planning to pursue phD in machine learning to apply the skills developed sso far for innovation of something in research field.

• Google Cloud Certified - Associate Cloud Engineer
• Certified SAFE 5 Practitioner

• Awarded Star of the Learners Group in Initial Training Program conducted by TCS.
• Contributed ideas on IOT(Internet of Things) in Ideathon Contest conducted by TCS and selected as a winner.
• Awarded (weekly award) for handling refund use cases efficiently by Amazon
• Awarded Gold medal for securing top position in Computer Science and Engineering Department, Jalpaiguri Government Engineering College(Batch:2012-2016)
• Awarded scholarship for excellence in Higher secondary examination.

1. Title :Effect of vitamin release on AML growth factors :

 Washington State University : Working with their researchers and statistician. Paper to be published.

Duration: Jan’24 - Present

Summary : The main idea of the project is to determine effect on vitamins on acute lymphoma. We gathered data on active sites of protein and made the vitamins react on those. Based on that we determined docker score in order to determine the affinity of vitamins to those active sites. 

2. Title : Counter-Strike Winner Prediction using Machine Learning Techniques

Duration: Apr ’24 - Present

This paper is yet to be published

Summary : The main of the project is to determine winner of counter strike game using ML algorithms . We got the data from kaggle. Then we cleaned the data and applied feature selection through LDA. Then we applied few classification algorithms and determined which one is the best for winner score prediction.

3. Title : Analyzing Mental Health Of Minority Communities on Twitter Using Keyword Extraction and LDA Topic Modelling :

ICDEC 2024: This paper is accepted to be published on Springer

Duration: Jul’23 – September’24

Summary: The main idea of the project is to determine the differnt sentiments of people among LGBTQ community. We took dataset from twitter . Then we cleaned and extracted that data. Post that we applied LDA to determine the core topics . Further we classified the data into 4 clusters of people among the community.

4.Title: Study and Analysis of Breast Cancer Cell Detection using Naïve Bayes, SVM and Ensemble Algorithms

B. Tech Final Year Project Duration: Aug15 – Mar16

Technology: MATLAB

Summary: The   main idea of the project is accurate diagnosis of breast cancer using data cleaning, feature extraction and different classification algorithms. For this purpose, Wisconsin Diagnostic Breast Cancer dataset (WDBC) was taken from UCI Machine Learning Repository.

5.Title: Design and Implementation of Multimedia Database composed of still images

IIT KHARAGPUR Duration: Jun’15 – Jul’15

Technology: PHP,HTML,CSS,SQL

Summary: The main idea of the project is to develop a multimedia database composed of still images with a web based user interface in an open source environment. The project mainly aimed at classification, segmentation, search, upload and retrieval of image data as well as metadata based on associated tags. Here, XAMPP was used as an open source cross platform consisting of 3 major components- Apache servers, MySQL database and interpreters for PHP.