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Debasrita ChakrabortyDC

Debasrita Chakraborty

@debasritachakraborty

Machine Learning Engineer (Senior Lead) at Codelogicx Technologies

Kolkata, West Bengal

https://www.linkedin.com/in/debasrita-chakraborty-41a338b3/

Codelogicx TechnologiesIndian Statistical Institute, Kolkata

Debasrita Chakraborty is a Machine Learning Engineer (Senior Lead) with a Ph.D. in Deep Learning Models for Data Analysis from the Indian Statistical Institute. She has extensive experience in computer vision, pattern recognition, and financial forecasting. Her work includes developing recommender systems, license plate verification, and credit scoring models for microfinance.

Experience

Machine Learning Engineer (Senior Lead)

Codelogicx Technologies

•Aug 2021 - Present•Kolkata, West Bengal

Content Recommender Systems, Automatic Vehicle License Plate Verification System, ID Card Extraction and Authenticity Verification, Credit Scoring of Microfinance Customers

Project Linked Person

Machine Intelligence Unit, Indian Statistical Institute

Temporary•Jan 2015 - Jul 2015•Kolkata, West Bengal

Object Tracking, Object Detection, Pattern Recognition

Post Graduate Teacher

Kendriya Vidyalaya No. 1, Salt Lake

•Sep 2014 - Jan 2015•Kolkata, West Bengal

Teaching Physics

Education

Indian Statistical Institute, Kolkata

Ph.D.

Deep Learning Models for Data Analysis

Jan 2015 - Jan 2022

Machine Intelligence Unit

University of Burdwan

M.Sc.

Physics (Nuclear and Particle Physics)

Jan 2012 - Jan 2014•Grade: 68.42%

First Class Honours

University of Burdwan

B.Sc. (Hons)

Physics

Jan 2009 - Jan 2012•Grade: 66.125%

First Class Honours

Licenses & Certifications

AI in Healthcare

Springer Nature

Issued: Jan 2020

Fundamentals of Deep Learning for Computer Vision

NVIDIA Deep Learning Institute

Issued: Jan 2019

Skills

C
Python
Matlab
LATEX
Flask
PySQL
AWS Sagemaker
Heroku
Keras
Tensorflow
Pandas
Pattern Recognition
Computer Vision
Financial Forecasting
Remotely Sensed Data Analysis
Machine Learning
Data Mining
Neural Networks
Deep Learning
Outlier Detection
Classification
Object Detection
Clustering
Ensemble Models
Feature Extraction
Feature Selection
Image Processing
Hyperspectral Image Processing
Transfer Learning
Time-series Prediction Models
Probabilistic Models
Statistical Evaluation