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Sudeshna Kundu

Data Scientist

  • Thane, MH
  • 10 years

Available From: Available

    Candidate's About

    Experienced Data Scientist with 6 years focus on pharma data. Proficient: SQL, Python, TensorFlow, Keras, OpenCV, PySpark, GCP, Power BI. Skilled: ML, NLP, image analysis, predictive modeling, unstructured data, CNN, time-series, libraries like Numpy, Pandas, Scikit-learn, NLTK, Spacy, Gensim, CoreNLP, BERT, AWS SageMaker. Azure: Synapse, DataBricks, Data Factory, PowerShell, ARM.

    Work & Experience

    D

    Data Science Technology Specialist

    Jan 22 - PRESENT

    Technology

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      Python
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      MongoDB
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      SQL
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      Azure
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      Django
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      Power BI
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      AWS
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      TensorFlow
    • Providing expertise in data science technologies and solutions, offering guidance and support to internal teams and clients.
    • Developing and implementing advanced data science models and algorithms for various projects.
    • Conducting data analysis, interpretation, and visualization to derive actionable insights.
    • Collaborating with cross-functional teams to identify and ...
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    D

    Data Scientist

    Jan 21 - Jan 22

    Technology

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      Azure
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      MongoDB
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      SQL
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      Django
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      Python
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      Power BI
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      AWS
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      TensorFlow
    • Analyzed and interpreted complex datasets using statistical techniques and machine learning algorithms.
    • Developed and implemented predictive models and algorithms to solve business problems.
    • Collaborated with cross-functional teams to identify data science opportunities and provide data-driven insights.
    • Conducted thorough data exploration and preprocessing to ensure...
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    D

    Data Scientist

    Jul 20 - Dec 20

    Technology

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      Azure
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      MongoDB
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      SQL
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      Django
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      Python
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      PyTorch
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      Power BI
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      AWS
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      TensorFlow
    • Conducted data analysis and data preprocessing to extract insights from various datasets.
    • Developed and implemented machine learning models and algorithms to solve business problems and improve processes.
    • Collaborated with cross-functional teams to understand business requirements and provide data-driven solutions.
    • Presented findings and insights to stakeholders thr...
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    Data Scientist (Artificial Intelligence and Analytics)

    Nov 19 - Apr 20

    Technology

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      Azure
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      MongoDB
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      SQL
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      Django
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      Python
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      PyTorch
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      Power BI
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      AWS
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      TensorFlow
    • Conducted exploratory data analysis to understand the characteristics and patterns in the data.
    • Developed and implemented machine learning models for predictive analytics and data-driven decision-making.
    • Collaborated with clients and stakeholders to understand business requirements and translate them into analytical solutions.
    • Prepared and presented reports and visu...
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    Data Scientist

    Apr 19 - Oct 19

    Technology

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      Azure
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      MongoDB
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      SQL
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      Django
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      Python
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      PyTorch
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      Power BI
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      AWS
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      TensorFlow
    • Conducted data preprocessing, cleaning, and transformation to ensure data quality and accuracy.
    • Developed and implemented machine learning algorithms and models to solve complex business problems.
    • Collaborated with cross-functional teams to understand project requirements and provide data-driven insights.
    • Conducted statistical analysis and data visualization to comm...
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    (Data Scientist) Senior Software Engineer

    Apr 16 - Mar 19

    Technology

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      Azure
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      MongoDB
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      SQL
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      Django
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      Python
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      PyTorch
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      Power BI
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      AWS
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      TensorFlow
    • Analyzed large datasets and performed data preprocessing, cleaning, and feature engineering.
    • Developed and implemented machine learning models and algorithms to extract valuable insights from data.
    • Collaborated with cross-functional teams to understand business requirements and deliver data-driven solutions.
    • Presented findings and recommendations to stakeholders thr...
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    Senior Software Engineer

    Jun 14 - Mar 16

    Technology

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      Azure
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      MongoDB
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      SQL
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      Django
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      Python
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      PyTorch
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      Power BI
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      AWS
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      Tensorflow
    • Developed and maintained software applications, adhering to coding standards and best practices.
    • Collaborated with cross-functional teams to gather requirements, design software solutions, and ensure timely delivery.
    • Conducted code reviews and provided feedback to team members for quality assurance.
    • Resolved technical issues and bugs by debugging and troubleshooting...
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    Senior Application Developer

    Jul 11 - Jun 14

    Technology

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      Azure
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      MongoDB
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      SQL
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      Django
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      Python
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      PyTorch
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      Power BI
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      AWS
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      TensorFlow
    • Developed and maintained software applications using various programming languages and technologies.
    • Collaborated with cross-functional teams to gather requirements, design, and implement solutions.
    • Conducted code reviews and provided feedback to ensure code quality and adherence to coding standards.
    • Resolved technical issues and bugs by debugging, troubleshooting, ...
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    Automated Chatbot For Insurance Application

    Technology Specialist

    • Automated the preparation of a chatbot for an Insurance Application, including the configuration of application-related replies.
    • Utilized tools such as Python, Pytorch, CUDA, NLTK, Spacy, SkLearn, Tensorflow, and Keras.DeepPavlov.
    • Collaborated with a client, the largest Health Insurance MNC from Indonesia and Singapore.
    • Developed and implemented the chatbot solution to improve customer service and support.
    • Trained and fine-tuned the chatbot using machine learning algorithms and natural language processing techniques.
    • Configured the chatbot to provide relevant and accurate responses based on the application's requirements.
    • Successfully deployed and integrated the chatbot into the client's system, enhancing their customer engagement and support capabilities.
    • Python
    • Pytorch
    • CUDA
    • NLTK
    • Spacy
    • SkLearn
    • Tensorflow
    • Keras
    • DeepPavlov
    View Details

    Organ Image Diagnostics during Hospital Endoscopic Surgery

    Technology Specialist

    • Worked as a data scientist to design the architecture for data flow in the medical device endoscopic surgery probe.
    • Developed image processing algorithms for de-noising, fish-eye dewarping, and image stitching.
    • Implemented attribute extraction and on-the-fly video preparation using MASK R-CNN.
    • Extracted attributes from organ images to analyze medical conditions, blood flow, fat globules, and diagnostics.
    • Contributed to the development of a comprehensive data processing pipeline for medical diagnostics.
    • Python
    • OpenCV
    • Kornia
    • PyTorch
    • TorchVision
    • CUDA
    • SkLearn
    • Tensorflow
    • Keras
    • Mongo DB
    • MASK R-CNN
    • YOLO
    • YOLOv3
    View Details

    Topic modeling and Correlated Topic Modeling of marketing data

    Technology Specialist

    • Developing an end-to-end solution for finding similar documents based on simple search through investigation numbers or key phrases.
    • Implementing algorithms to rank documents based on similarity scores using methods like cosine distance, Jaccard distance, and word-mover distance.
    • Vectorizing documents using word2vec or FastText depending on the distance metric chosen.
    • Utilizing Latent Dirichlet Allocation and Hierarchical LDA for unsupervised ML model in marketing data analysis, categorization, and review sentiment analysis.
    • Designing a user interface (UI) to expose the algorithm to SMEs or auditors for faster audit processes.
    • Python
    • SQL
    • SkLearn
    • BERT
    View Details

    Customer sentiment analysis on review of sold products

    Technology Specialist

    • Utilized NLP (Natural Language Processing) for customer sentiment analysis on product reviews and tagging of similar words/specs.
    • Implemented BERT transformer model architecture for better accuracy and understanding of the text.
    • Performed tagging for improved clarity and categorization of the output.
    • Worked as a data scientist to design the data flow architecture and models for topic generation and labeling.
    • Utilized LDA (Latent Dirichlet Allocation) and CTM (Correlated Topic Model) as base models for topic creation.
    • Azure ML
    • Python
    • NLP
    • NLTK
    • SkLearn
    View Details

    Customer Email classification and sending reply to emails

    Technology Specialist

    • Utilized NLP (Natural Language Processing) for customer email classification, categorization, and automated meaningful replies.
    • Conducted sentiment analysis for improved clarity and categorization of email content.
    • Implemented BERT transformer model architecture for better understanding and analysis of text data.
    • Prepared unstructured data and performed statistical tests (ANOVA, Apriori rule, PCA) and machine learning techniques (logistic regression, random forest) for hypothesis testing.
    • Applied sentiment analysis using Stanford CoreNLP package and recursive neural network for scoring the sentiment of incoming emails.
    • Worked as a Data Scientist to design the data flow architecture and models for topic generation and document labeling.
    • Developed methodologies for data preparation, including OCR, language detection, language translation, and attribute extraction, for emails containing text images, PDFs, client signatures, etc.
    • SQL
    • Python
    • Django
    • NLP
    • NLTK
    • Spacy
    • Gensim
    • Rasa-Core
    • SkLearn
    • Tensorflow
    • Keras
    • GreenPlum
    View Details

    English Handwriting recognition and digitization of Student Exam Sheet [OLICR]

    Technology Specialist

    • Detected English handwritten digits and alphabets from photographs of handwritten papers captured through a mobile camera.
    • Applied de-skewing and de-noising techniques using Python, OpenCV, and Pillow packages.
    • Precisely cut and processed individual digits/alphabets to match the configuration of EMNIST data sets.
    • Prepared a statistical model (CNN) using EMNIST Training DataSet to recognize processed images and test DataSet.
    • Utilized InfiMNIST for training with background noise.
    • Compared and analyzed processed test images for recognition with an accuracy of 94.8%.
    • Developed a mobile application using Kivy for the same purpose.
    • Python
    • TensorFlow
    • Keras
    • OpenCV
    • Numpy
    • Pandas
    • Scipy
    • Scikit-learn
    • Kivy
    • Amazon AWS SageMaker
    • Matlab
    • SQL
    View Details

    Education

    C

    BSc.

    Calcutta University
    2000 - 2003
    W

    M.Tech -CSE

    WBUT
    2011 - 2013

    Certificates

    U

    Artificial Intelligence: Reinforcement Learning

    Udemy
    2022 - 2022
    U

    Artificial Intelligence A-Z™: Learn How to Build an AI

    Udemy
    2021 - 2021
    U

    Unsupervised Machine Learning Hidden Markov Models

    Udemy
    2021 - 2021
    U

    Cluster analysis and unsupervised

    Udemy
    2021 - 2021
    U

    Cluster analysis and unsupervised machine learning

    Udemy
    2021 - 2021
    U

    Learning path python and predictive analysis

    Udemy
    2021 - 2021
    U

    Complete guide to Tensorflow for Deep Learning

    Udemy
    2021 - 2021
    U

    Making predictions with Data and Python

    Udemy
    2021 - 2021
    U

    Advanced AI: Deep Reinforcement Learning

    Udemy
    2021 - 2021
    U

    Deep Learning and Computer Vision AZ™

    Udemy
    2021 - 2021
    U

    Machine Learning A-Z™: Hands-On Python

    Udemy
    2020 - 2020
    U

    Data Science and Machine Learning Bootcamp

    Udemy
    2021 - 2021
    U

    Natural Language Processing with Deep Learning

    Udemy
    2021 - 2021