Sridipta Manna
@sridiptamanna
Data Scientist
Bangalore, India
Data Scientist with comprehensive experience in developing and deploying machine learning models and data pipelines. Proficient in areas including NLP, Image Processing, and Deep Learning, utilizing tools like AWS SageMaker and various ML frameworks. Possesses a strong academic foundation in statistics and quality management science from the Indian Statistical Institute.
Experience
Artificial Intelligence Engineer
Schneider Electric
Focused on developing machine learning models, production deployment, testing. Developed text classification using Bert, ULMFit, XLM, naive Bayes, SVM, Random forest, Xgboost on AWS platform. Helped pioneer automated deployments of data pipelines using lambda function and State Machine, enabling faster and more portable deployments.
ML Intern
Schneider Electric
Developed a recommender system to increase the clickthrough rate, better product suggestion and improvised customer-product interactions using Matrix Factorization, Association rule and Restricted Boltzmann Methods. Explored different AWS provided services (eg. Sagemaker, Lambda, State Machine, EFS etc.).
ML Intern
6th Energy Technologies Pvt Ltd
Developed a defect detection system in PCB images using image feature extraction and homography to align the images, image subtraction, morphological transformations to minimize the noise and ignore minor differences.
Education
Indian Statistical Institute
MS., Quality Management Science
Statistics, NLP, Neural Network, Machine Learning, Image Processing, Time Series, Six Sigma, Statistical Process Control, Multivariate Analysis
Lady Brabourne College
BSc., Mathematics
Mathematics
Indian Statistical Institute
MS. Candidate
A survey report comparing five clustering techniques in different hyper-spectral image data sets (Salinas A, Salinas, and Indian pines).