Experience

Quest Medical Imaging

• Netherlands
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Data Scientist

  • Jan 2022 - Nov 2023

  Worked on the projects - Objective judgement, Perfusion, Tissue assessment General skills acquired: Project Management, Agile way of working, Multitasking, Code management, Weekly reporting Project tasks: • Analyze diverse medical datasets to extract valuable insights and draw conclusions. • Conduct data pre-processing and cleaning to ensure the accuracy and quality of data. • Utilize various machine learning and deep learning algorithms to develop predictive models. •… Show more Worked on the projects - Objective judgement, Perfusion, Tissue assessment General skills acquired: Project Management, Agile way of working, Multitasking, Code management, Weekly reporting Project tasks: • Analyze diverse medical datasets to extract valuable insights and draw conclusions. • Conduct data pre-processing and cleaning to ensure the accuracy and quality of data. • Utilize various machine learning and deep learning algorithms to develop predictive models. • Evaluate the performance of the algorithms and fine-tune them to optimize results. • Implement Interpretable and explainable AI techniques to enhance model transparency and interpretability. • Continuously innovate and be creative to develop novel AI techniques for data analysis. Programming languages used: Python and R Machine learning and deep learning stack: SVM, Logistic regression, Decision trees, XGBoost, Random Forest, Naive Bayes, CNN, MLP, GAN, LSTM, RNN Popular libraries used: Numpy, Pandas, Scikit-learn, Matplotlib, PyTorch, TensorFlow, Seaborn Imaging stack: Image pre-processing, Image segmentation, Image annotation, Image analysis, Image manipulation Show less Worked on the projects - Objective judgement, Perfusion, Tissue assessment General skills acquired: Project Management, Agile way of working, Multitasking, Code management, Weekly reporting Project tasks: • Analyze diverse medical datasets to extract valuable insights and draw conclusions. • Conduct data pre-processing and cleaning to ensure the accuracy and quality of data. • Utilize various machine learning and deep learning algorithms to develop predictive models. •… Show more Worked on the projects - Objective judgement, Perfusion, Tissue assessment General skills acquired: Project Management, Agile way of working, Multitasking, Code management, Weekly reporting Project tasks: • Analyze diverse medical datasets to extract valuable insights and draw conclusions. • Conduct data pre-processing and cleaning to ensure the accuracy and quality of data. • Utilize various machine learning and deep learning algorithms to develop predictive models. • Evaluate the performance of the algorithms and fine-tune them to optimize results. • Implement Interpretable and explainable AI techniques to enhance model transparency and interpretability. • Continuously innovate and be creative to develop novel AI techniques for data analysis. Programming languages used: Python and R Machine learning and deep learning stack: SVM, Logistic regression, Decision trees, XGBoost, Random Forest, Naive Bayes, CNN, MLP, GAN, LSTM, RNN Popular libraries used: Numpy, Pandas, Scikit-learn, Matplotlib, PyTorch, TensorFlow, Seaborn Imaging stack: Image pre-processing, Image segmentation, Image annotation, Image analysis, Image manipulation Show less



University of Twente

• Netherlands
• Research Services
• 700 & Above Employee

• Graduate student- Geometric Social Networks

  • Oct 2020 - Jul 2021

  The Facebook Social Connectedness Index (SCI) is used for measuring the strength of connectedness among any two regions. In most social networks, people who live close to each other are expected to have more connections than people who live away from each other. The connection between people who live further away will occur with lower probability. So, in this project, the main purpose is to investigate these connections by creating a Bayesian network.

• Teaching assistant for Python Graph Programming

  • Feb 2021 - Apr 2021

  Helping students who are pursuing a Computer Science course at Utwente with topics related to python, Graph theory, Shortest path algorithms

• Teaching Assistant for Software Development

  • Nov 2020 - Jan 2021

  Helping students who are pursuing a computer science course at UTwente with topics related to Basic Java programming, Multithreading, MVC pattern



Undagrid

• Enschede, Overijssel, Netherlands

• Research Intern

  • May 2020 - Aug 2020

  Worked on the topic indoor localisation (identifying the position of something indoors) Found the most commonly used localisation algorithms, most commonly used machine learning and deep learning algorithms for localisation by conducting a literature survey. Conducted experiments on two indoor localisation datasets to see how the machine learning algorithms performed Worked on the topic indoor localisation (identifying the position of something indoors) Found the most commonly used localisation algorithms, most commonly used machine learning and deep learning algorithms for localisation by conducting a literature survey. Conducted experiments on two indoor localisation datasets to see how the machine learning algorithms performed



BSNL LTD

• United Kingdom
• Telecommunications
• 700 & Above Employee

• Intern

  • Dec 2017 - Apr 2018

  Did my bachelor thesis in the company. Created a neural network-based Optical Character Recognition (OCR) that will assist people with impaired in recognizing products. Implemented the neural network in raspberry pi OS. Did my bachelor thesis in the company. Created a neural network-based Optical Character Recognition (OCR) that will assist people with impaired in recognizing products. Implemented the neural network in raspberry pi OS.