CHANDREYI CHOWDHURY

Student at VIT, Vellore

Surat, Gujarat chandreyi.surat@gmail.com +91 9512860806

Profile

As a pre-final year student pursuing a postgraduate degree in Computational Statistics and Data Analytics, I have a keen interest in Data Analytics, Big Data, and Machine Learning. I have created several innovative and relevant projects using MATLAB, R, and Python. Please feel free to browse my portfolio to learn more about my skills and capabilities.

Experience

INTERN

Feb '23 - Present | Vindhya e-Infomedia Pvt. Ltd.

This is an ongoing internship in which I am working upon the problem of high attrition rate in the company, by reviewing past human resource data trends.

MANAGER FOR GENERAL ENQUIRY

Dec '22 - Feb '23 | Riviera 2023

As the team leader, I assumed responsibility of managing the whole team's working for addressing an extensive array of queries from both internal and external participants. These inquiries spanned from event particulars to registration processes, as well as enquiries pertaining to accommodations during the annual college festival at VIT, Vellore.

EVENTS HEAD

March '22 - Feb '23 | Dutchese Literary Association - VIT

I oversaw the planning and execution of literary events and competitions in German language, fostering a vibrant and engaged community of German literature enthusiasts and students who have a high zeal of learning about the language.

Skills

  • C
  • C++
  • Python
  • Java
  • R
  • MATLAB
  • SPSS
  • Minitab
  • SQL
  • Oracle DBMS
  • Power BI
  • Tableau
  • AWS
  • Apache Hadoop
  • Machine Learning:
  • Tensorflow
  • Keras
  • Scikit-Learn
  • NLTK
  • ANN | Deep Learning

Education

INTEGRATED MSC. IN COMPUTATIONAL STATISTICS AND DATA ANALYTICS

Vellore Institute of Technology, Vellore 2019-2024 |=> Grade: 9.11 CGPA

INTERMEDIATE (PHYSICS, CHEMISTRY, MATHEMATICS AND COMPUTR SCIENCE)

Divine Child High School, Surat 2018-2019 |=> Grade: 85.5 % |=> Board: CBSE

JUNIOR HIGH

S.D. Jain Modern School, Surat 2016-2017 |=> Grade: 9.6 CGPA |=> Board: CBSE

Projects

Youtube Sentiment Analysis Model

Python | NLTK | Stemming and Lemmatization | Gaussian Naive Bayes Classifier

Our Python model extracts comments from two YouTube videos, generates two datasets, and applies Sentiment Analysis (Classification Model) machine learning techniques to provide YouTubers insight into their viewers' sentiment distribution.

After Hurricane Analysis Using MATLAB

Exploratory Data Analysis | Visualizations and Insights | Hurricane Harvey Dataset

This project analyzes and visualizes the Hurricane Harvey dataset on MATLAB to assist an insurance company in allocating resources based on the extent of damage caused during the 2017 category 4 hurricane that resulted in over 100 deaths.

Realtime Chat Application Using Pub-Sub and Apache Kafka

Data Engineering | Hadoop Ecosystem

This is an ongoing project which aims to develop a chat application where multiple users can login from different IP addresses to join a single chat environment and have a conversation.

Application of ANN to verify the Conservation Law

Neural Network | PDEs | Conservation Law

This is another ongoing research project which aims on developing a model that could generate its own dataset of PDEs based on several parameters and constraints provided, and then use the same on an ANN that would enable us to verify the statement of the conservation law.

Certificates

Lean Six Sigma Black Belt

In-depth knowledge in quality control, process improvement, and data-driven decision making. Skilled in leading cross-functional teams and using statistical analysis to identify opportunities for improvement and drive business performance.

Merit Scholarship => 2020 | 2021 | 2022

Consistently awarded merit scholarships throughout my degree program at VIT, reflecting my commitment to academic excellence.

Business Analytics And Text Mining Modelling Using Python

Certified in the mentioned domain with an A grade from NPTEL, demonstrating my proficiency in analyzing and modeling complex business data.

References

Assistant Professor at VIT, Vellore

Dr. Neelabja Chatterjee

Associate Professor at VIT, Vellore

Dr. B S R V Prasad

Languages

  • English
  • Hindi
  • Bengali
  • French
  • Gujarati

Interests

Painting
Sketching
Kathak
Bharatnatyam
Reading