HELLO, I AM
Swapnil Singh
Pursuing MS | MBA Tech Graduate | Machine Learning Enthusiast | Photographer
Short Bio
MY BACKGROUND
I am a machine learning enthusiast with a passion for research, backed by various review papers, research papers, and book chapters. I am an inquisitive, energetic individual skilled with cross-platform coding and leadership skills, aiming to win the Turing Award someday. I have worked in the domain of medical imaging, disease detection, cyber security, remote sensing, and econometrics. I love to click pictures, with the motive to see the world through my camera's lens.
Education
WHAT I’VE LEARNED
August 2023 - Present
Virginia Tech - Blacksburg, VA, USA
MS; Computer Science (Thesis)
GPA: 4.0/4.0
July 2018 - July 2023
NMIMS University – Mumbai, Maharashtra, India
MBA; Major: Technology Management
Minor: Business Intelligence and Analytics
GPA: 3.82/4.0
July 2018 - July 2023
NMIMS University – Mumbai, Maharashtra, India
B Technology; Major: Computer Engineering
Minor: Artificial Intelligence and Machine Learning
GPA: 3.82/4.0
Experience
WHERE I’VE WORKED
May 2024 - Present
Research Assistant, Zhang Lab, Virginia Tech, Mentor: Dr Liquing Zhang
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Partnering on a multimodal approach for Alzheimer’s Disease detection using Imaging and Genomic Data
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Deducing ways for feature translation between Imaging features and Genomic features
October 2023 - Present
Research Assistant, DigitAl Medicine Analytic Lab, Wake Forest University, Mentor: Dr Da Ma
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Spearheading the application of PyTorch to enhance Alzheimer's Disease subtyping through SurrealGAN, achieving a 30% reduction in misclassification rates, and significantly advancing research in the field.
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Partnering on the development of Semi-Supervised feature extractors using U-Net-based models for Alzheimer’s Disease subtyping using deep clustering.
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Collaborating on Neuro-aging research by leveraging GANs, CNNs, and Autoencoders using PyTorch attaining an RMSE of 3 years.
May 2022 – September 2022
Data Analyst Intern, SBI Mutual Funds
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Retrieved over 50 million data records from 3 databases through SQL Queries, used Python (Pandas, Regex, and NumPy) for cleaning the data, and created reports and dashboards using Power BI and Excel contributing to 70% decision efficiency and a 40% increase in digital business via 50 targeted marketing campaigns.
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Engineered a sophisticated recommendation system to enhance upselling and cross-selling strategies across a 12-million investor base.
October 2021 – January 2022
Industry Researcher, PAC Consultancy India & NHS UK
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Spearheaded the development of 3 social media strategies for enhanced engagement.
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Applied 4 creative approaches to attract a targeted demographic of teenagers effectively.
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Devised 3 categorization methods for grouping teenagers based on their needs.
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Proposed 2 strategic initiatives to guide teenagers towards the envisioned mental health support app.
May 2021 – June 2021
Student Trainee, CAIR - DRDO, Mentor: Shailesh R Chansarkar (Scientist F)
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Conducted a comprehensive evaluation of the MLP, revealing a 20% improvement in convergence rate with the addition of a hidden layer using Keras and TensorFlow.
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Achieved 100% accuracy rate for the MLP, and integrated changes leading to a 15% reduction in training time.
November 2020 – December 2020
Web Development Intern, Integreat
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Designed and implemented layouts for 15+ webpages utilizing the Wix platform.
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Provided SEO recommendations for 50+ content elements across webpages.
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Directed and supervised 5 design activities to align with organizational goals and objectives.
May 2020 – June 2020
Market Research Intern, EatMyNews
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Conducted extensive research to compile a database of 500+ college email addresses across key regions, including Telangana, Punjab, Chandigarh, and Thane.
Publications
WHAT I'VE RESEARCHED
Journal Publications
Singh, S., Vazirani, V., Singhania, S., Singh Suroth, V., Soni, V., Biwalkar, A., Krishnan, D., 2024, July. Beyond Boundaries: Unifying Classification and Segmentation in Wildfire Detection Systems. In Multimedia Tools and Applications. (Under Publication)
Shah, V. N., Shah, D. R., Shetty, M. U., Krishnan, D., Ravi, V. and Singh, S., 2024, April. Investigation of Imbalanced Sentiment Analysis in Voice Data: A Comparative Study of Machine Learning Algorithms. In EAI Endorsed Transactions on Scalable Information Systems.
Singh, S. and Parihar, M., 2023, July. An Emperical Investigation into an Economic Analysis of State Road Transport Undertakings in India. In The Indian Economic Journal. (Under Publication)
Singh, S. and Biwalkar, A., 2020, August. Impact of Machine Learning Algorithms on Heart Disease Datasets. In International Journal of Advanced Science and Technology 29(3) (pp. 11786-11796). SERSC
Book Chapters
Krishnan, D. and Singh, S., 2022. Medical IoT: Opportunities, Issues in Security and Privacy-A Comprehensive Review. Smart and Secure Internet of Healthcare Things, pp.91-112. CRC Press.
Singh, S., Vazirani, V. and Krishnan, D., 2022. Review of medical imaging with machine learning and deep learning-based approaches for COVID-19. Smart Health Technologies for the COVID-19 Pandemic: Internet of Medical Things Perspectives, 42, p.261. IET.
Singh, S., Biwalkar, A., and Vazirani, V., 2021. Clinical Decision Support Systems and Computational Intelligence for Healthcare Industries. Knowledge Modelling and Big Data Analytics in Healthcare. pp. 37-63. CRC Press.
Conference Publications
Bachhav, T., Parihar, M., Doshi, A., and Singh, S., 2024. AI and Efficiency Analysis of Seaport in India with Special Reference to Mumbai Port Trust. In 5th International Conference on Data Analytics and Management (ICDAM-2024). Singapore: Springer Nature Singapore. (under publication)
Parihar, M., Kinhikar, R., Azeem Khan, M., Purswani, H., and Singh, S., 2023, October. Artificial Intelligence (AI) Application for E-Governance to Achieve Sustainability: A Case of Selected Segments of Indian Economy. In 4th International Conference on Smart Systems: Innovations in Computing (SSIC23). Singapore: Springer Nature Singapore. (under publication)
Singh, S. and Krishnan, D., 2023, May. Cov-CONNET: A Deep CNN Model for COVID-19 Detection. In Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1 (pp. 643-658). Singapore: Springer Nature Singapore.
Singh, S., Krishnan, D., Sehgal, P., Sharma, H., Surani, T. and Singh, J., 2022, December. Gradient Boosting Approach for Sentiment Analysis for Job Recommendation and Candidate Profiling. In 2022 IEEE Bombay Section Signature Conference (IBSSC) (pp. 1-6). IEEE.
Singh, S. and Vazirani, V., 2022, April. Classification vs clustering: Ways for diabetes detection. In 2022 IEEE 7th International Conference for Convergence in Technology (I2CT) (pp. 1-8). IEEE.
Singh, S. and Suman, S., 2022, April. Transfer learning: A way for Ear Biometric Recognition. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-6). IEEE.
Singh, S., Singhania, S., Pandya, V., Singal, A. and Biwalkar, A., 2022. East Meets West: Sentiment Analysis for Election Prediction. In Modern Approaches in Machine Learning & Cognitive Science: A Walkthrough (pp. 9-20). Cham: Springer International Publishing.
Krishnan, D. and Singh, S., 2021, December. Cost-Sensitive Bootstrapped Weighted Random Forest for DoS attack Detection in Wireless Sensor Networks. In TENCON 2021-2021 IEEE Region 10 Conference (TENCON) (pp. 375-380). IEEE.
Singh, S., and Nath, K., 2022, January. Analysing COVID-19 Impact on E-Commerce: An overview of Indian Scenario. In 7th Biennial Conference. INDAM.
Singh, S., 2021, January. Pneumonia detection using deep learning. In 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) (pp. 1-6). IEEE.
Reviewer Experinece
WHAT I'VE REVIEWED
EAI Endorsed Transactions on Scalable Information Systems - Paper IDs - 6111
May 2024
(Journal)
IBSSC24 - Paper IDs - 62, 141
December 2023
Aurangabad, India
CIPR23 - Paper IDs - 9-2192, 102-G020
March 2023
Kolkata, India
NCIT22 - Paper ID - 12258
October 2022
Wuhan, China
Projects
WHAT I'VE DONE
December 2023
Investigated and assessed existing evaluation metrics for symbolic regression, contributing to a comprehensive understanding of their effectiveness.
August 2022
Using a custom weight function along with trivial machine learning models for detecting intrusion attacks in UNSW and CIC-IDS 2018 datasets
July 2022
Designed a cutting-edge algorithm converting URLs to images and employed a powerful hybrid model (LSTM, GRU, CNN, MLP) for impactful image classification.
Weighted Deep Hybrid Approach for Feature Extraction and Classification for Robust Malware Detection
April 2022
Developed an algorithm to convert malware byte files into images and utilized a hybrid GRU, CNN, MLP, and cost sensitive weighted Random Forest model for sophisticated classification.
March 2022
Leveraged MobileNetV2 for plant disease detection through analysis of leaf images, demonstrating efficiency and innovation in agricultural technology.
March 2022
Created a novel dataset utilizing the Google Earth API and applied a custom CNN and AlexNet for forest fire detection, alongside SegNet and U-Net for precise segmentation of burnt areas, enhancing wildfire monitoring and management efforts.
February 2022
Utilized scispacy to identify medical entities in input text and implemented BERT with Named Entity Recognition (NER) for answering questions related to the identified entities, showcasing a robust approach in medical text analysis and question-answering systems.
January 2022
Leveraged deep learning and image processing techniques to detect and precisely segment brain tumors in MRI scans
September 2021
Engineered a versatile system capable of generating five types of questions along with corresponding answers from input text, facilitating output in formats such as Word documents, plain text, or PDF files.
July 2021
Implemented sarcasm detection in conjunction with classification models to effectively identify and filter fake news from benchmark datasets
May 2021
Employed a hybrid model combining LSTM, GRU, and CNN architectures to create a chatbot designed to support individuals dealing with mental health challenges, demonstrating a comprehensive and empathetic approach to conversational AI.
April 2021
Conducted sentiment and emotion analysis on tweets from Indian users discussing the 2016 demonetization in India, providing insights into public reactions during this significant event.
March 2021
Implemented a Custom CNN for detecting and classifying images in the Hieroglyph dataset, deploying VGG16 as a benchmark for accuracy comparison, demonstrating a thorough evaluation of model performance.
February 2021
Created a COVID-19 vaccination website akin to Aarogya Setu, incorporating HTML, CSS, JavaScript, PHP, and Machine Learning technologies for a comprehensive and dynamic user experience.
January 2021
Applied basic machine learning algorithms to classify diverse datasets and meticulously observed their performance, providing valuable insights into algorithm effectiveness across different data domains.
September 2020
Crafted an informative website for painting auctions in India using HTML, CSS, JavaScript, and PHP, providing a dynamic and engaging platform for art enthusiasts and bidders.
August 2020
Created an informative website detailing the Prime Ministers of India, employing HTML, CSS, JavaScript, and PHP to offer a dynamic and engaging platform for users seeking comprehensive information.
Januray 2020
Designed a straightforward ticketing and tracking system for BEST (Brihanmumbai Electric Supply and Transport) utilizing Tkinter, PyQR, and SQLite libraries in Python, enhancing efficiency and management within the organization.
Skills & Languages
WHAT I BRING TO THE TABLE
Python
5/5
English
5/5
Machine Learning
4/5
Hindi
5/5
Deep Learning
4/5
Bhojpuri
5/5
Technical Writing
4/5
Marathi
4/5
Leadership
4.5/5
German
1/5
Time Mangement
5/5
Critical Thinking
4.5/5
Team Player
5/5
Leadership
WHAT I'VE LEAD
Aug 2023 - Dec 2023
Indian Student Association - Virginia Tech
President
April 2022 - April 2023
April 2021 - April 2022
April 2020 - April 2021
April 2019 - April 2020
FinDrome - The Finance Cell of NMIMS MPSTME
Joint Secretary | Co-Founder
July 2022 - April 2023
IEEE Computer Society Student Chapter NMIMS MPSTME
April 2020 - March 2021
April 2019 - March 2020
Institute of Electronics and Telecommunication Engineers Student Federation MPSTME
April 2019 - March 2020
Innovation and Entrepreneurship Cell
Memberships
WHAT I'VE BEEN A PART OF
March 2022 - Current
IEEE Computer Society
March 2022 - Current
IEEE
November 2019 - November 2022
Institute of Electronics and Telecommunication Engineers
Awards
WHERE I SHINE
Merit List Student MPSTME, NMIMS University
Finalist - WCE Hackathon Hosted by Walchand College of Engineering, Sangli
Semi-Finalist - TiE Global Hackathon, Prize - $500
3rd Prize - Polarizer organised by the Department of Physics of MPSTME
Interests
OUT OF OFFICE
Photography
Travel
Currency Collection
Indian Political History
Reading
© 2024 By Swapnil Singh.