As a recent graduate from the Xavier School of Computer Science, I am eager to embark on a fulfilling career in the field of Data Science and Cyber physical systems. My name is Debanshu Das, and I am a dedicated and passionate individual with a keen interest in exploring the endless possibilities that these fields have to offer.Throughout my academic journey, I have gained extensive knowledge and practical experience in various aspects of computer science. My coursework has equipped me with a solid foundation in programming languages such as Python, C++, and Java, as well as statistical analysis tools such as R and MATLAB. I have also worked on various projects related to Data Science and Computer Vision, which have allowed me to gain hands-on experience in areas such as image processing, machine learning, and data analysis.What truly sets me apart is my ability to combine technical skills with a strong sense of creativity and innovation. I am always striving to find new and improved ways to solve problems and create value, and I believe that Data Science and Computer Vision provide the perfect platform for me to do so. Whether it is developing advanced algorithms to process large datasets or creating cutting-edge computer vision applications, I am eager to push the boundaries of what is possible and make a meaningful impact in the field.In addition to my technical skills, I am also a collaborative team player who thrives in a dynamic and fast-paced environment. I believe that effective communication, adaptability, and a positive attitude are key to achieving success in any project, and I am committed to embodying these qualities in everything that I do.Overall, I am excited about the endless possibilities that the field of Data Science and Computer Vision has to offer, and I am eager to contribute my skills, knowledge, and passion to a team that shares my vision. If you are looking for a talented and driven individual to join your team, please don't hesitate to get in touch with me.
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Research FellowshipBirla Institute Of Technology And Science, Pilani Jul 2023 - Aug 2024South Goa, Goa, India✨️ Worked as a Research Fellow on NTIHAC-HUB, IIT Kanpur sponsored research project (Ref No. NTIHAC/2021/01/04) entitled "Predictor and analyzer of security threats (PAST)."🚀As I progress through my research journey, my commitment lies in advancing knowledge and expertise in safeguarding critical infrastructures, drawing insights from CPS and Formal Modeling to contribute practical solutions and strategies that enhance the security and resilience of vital systems in our increasingly interconnected world.• Scholar profile: https://scholar.google.com/citations?user=vMFxbu4AAAAJ&hl=en#Cybersecurity #Research #InformationSystems #DataAnalysis #SecurityThreats #DigitalFuture -
Bachelor ThesisXavier Institute Of Management(Xim Bhubaneswar) Jul 2022 - Mar 2023Bhubaneswar, Odisha, India• Researched an end-to-end framework for early rumor detection on social media via Deep Learning. • Leveraged several deep learning algorithms including weak supervision to shed light on and proposed solutions for major bottlenecks of previous rumor detection systems. • Improved state-of-the-art performance in early rumor detection. • Interests: Deep Learning, Large-Scale Data, Natural Language Processing, Weak Supervision. -
Data Science InternThe Sparks Foundation Jun 2021 - Jul 2021Singapore- Rotational Graduate Machine Learning Internship.- Successfully completed Data Science and Business Analytics EDA, assigned task.- Here I have created the analysis model of a Super market datasheet given by the company and have deployed the parameters successfully.Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’● As a business manager, try to find out the weak areas where you can work to make more profit.● What all business problems you can derive by exploring the data?● You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel/SAP/SAS)● Dataset: https://bit.ly/3i4rbWl -
Data Science InternVerzeo Jan 2021 - Mar 2021Worked on two Major projects:-------------------------------• AgeWise: The innate combination of machine learning and artificial intelligence to accurately detect and classify commonsigns of ageing in human skin, including dark spots, puffy eyes, and wrinkles.- The classification model is built using advanced state-of-the-art algorithms to achieve precise and reliable results. Byapplying these sophisticated techniques, the system can effectively predict and provide observation for skin ageing signs.- The model was trained and achieved competitive accuracy with notable diminution in the loss function.- Actively, represents a major achievement in the field of computer vision and demonstrates the potential of machinelearning and AI to enhance our understanding of complex biological systems.• MaskRadar: This project uses deep neural networks and cutting-edge technologies such as Tensorflow Keras and OpenCVto obtain real-time face mask recognition with a bounding box over the face.- To boost accuracy, a dataset of over 1300 images of people with and without face masks was compiled and used to train aconvolutional neural network implemented in TensorFlow Keras. The trained model was then deployed using OpenCV forimage processing, enabling the detection of face masks in real time.- As the architecture used for training and prediction is very lightweight, we can get results in less time.- Depicts a significant advancement in computer vision and demonstrates the potential of deep learning. -
Business DevelopmentMycaptain Jan 2021 - Feb 2021As a Student Ambassador I had the opportunity to get involved with many different types of work allowing my existing skills to develop as well as gain new ones. skills include;* Public Speaking* Communication and interpersonal skills* Presentation skills* Team work* Networking
Debanshu Das Education Details
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Computer Science -
Computer Science And Engineering
Frequently Asked Questions about Debanshu Das
What is Debanshu Das's role at the current company?
Debanshu Das's current role is Former Systems Researcher at BITS Pilani | CS Graduate, XIMB '23.
What schools did Debanshu Das attend?
Debanshu Das attended Birla Institute Of Technology And Science, Pilani - Goa Campus, Xavier Institute Of Management(Xim Bhubaneswar), Kendriya Vidyalaya, Kendriya Vidyalaya.
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Debanshu Das
Ximb, Mba-Hrm ‘25 Ll National Finalist Tata Steel-A-Thon Season Xi Ll Class Representative Ll Summer Intern - Ultratech Cement (Ulchemies"24) Ll Ex - Intern - Nestle India Ll Ex - Intern - Affle India Ll Bgu'22Bhubaneswar -
Debanshu Das
🌐 Know A Thing Or Two About Social Media Marketing 🚀 | Empowering Weavers In Odisha 🌺 | Research Assistant At Nit-R 💡Nagpur -
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