About
BHUWAN DUTT
Toronto, Ontario
bhuwandutt2@gmail.com
https://linkedin.com/in/bhuwan-dutt
SUMMARY
Results-driven and innovative Data Scientist with a strong background in business operations and the deployment of cutting-edge AI models. Proven track record of leveraging advanced analytics to drive innovation, solve complex problems, and optimize operations. Skilled in machine learning, data analysis, and software development. Committed to delivering impactful insights and driving organizational success through data-driven decision-making.
EDUCATION
Lakehead University, Thunder Bay, ON
Master of Science, Computer Science
JAN 2021 - JAN 2023
Graduated with a GPA of 3.67
PROFESSIONAL EXPERIENCE
Data Scientist
Lakehead University, ON, Canada
MAY 2022 - DEC 2022
- Analyzed large datasets, identifying patterns, trends, and insights to drive innovation and solve complex problems.
- Developed and deployed machine learning algorithms, achieving up to 20% improvement in accuracy and scalability enhancements.
- Collaborated with cross-functional teams, effectively communicating findings and insights to technical and non-technical stakeholders.
- Conducted experiments and performed statistical analysis, continuously improving models based on feedback and evolving requirements.
- Played a key role in driving the organization’s technological advancements and strategic goals through the integration of models into production systems.
App Developer
NCR Corporation, India
JAN 2020 - JAN 2021
- Collaborated with business stakeholders to identify needs and developed technological solutions that optimized operations and improved efficiency.
- Automated manual tasks using Python, resulting in a 20% increase in productivity for the operations team.
- Developed ETL pipelines, enabling better decision-making and improving data accuracy by 15%.
- Designed and implemented a modern HR hiring system, reducing time-to-hire by 30% and improving candidate experience.
PROJECTS
Xray Generation using Generative Adversarial Networks(https://bhuwandutt.github.io)
- Deployed a cutting-edge model surpassing the previous state-of-the-art for X-ray image generation, achieving an accuracy of 91%.
- Leveraged distributed computing on Google Cloud Platform (GCP) and High-Performance Computing (HPC) clusters, reducing costs by 100%.
- Automated deployment and error rectifications using GitHub MLOps.
Illicit Drug Abuse Identification using Computer Vision
- Designed and implemented a computer vision model, accurately identifying illicit drug abuse in facial pictures with an impressive accuracy of 90%.
- Curated a large dataset using advanced data scraping, cleaning, and feature engineering techniques.
- Addressed ethical concerns and potential biases, ensuring responsible implementation and usage.
Fine-tune LLM for medical text understanding
- Fine-tuned BioBERT model on MIMIC-III dataset, achieving better performance in medical text understanding.
- Developed a highly accurate NLP model for Named Entity Extraction (NER), aiding health professionals in prescription decisions and tracking drug symptoms.
- Implemented the model in a Federated Learning Framework, ensuring the preservation of sensitive user data and preventing data exploitation.
Twitter Data Analysis of Covid Vaccines
- Conducted sentiment analysis, achieving the highest accuracy of 85% on test data.
- Curated a high-quality dataset and performed extensive data analysis and visualization.
- Used sPacy model to manage the ETL and machine learning pipeline.
SKILLS
SQL, Python, Data Analysis, PowerPoint, scikit-learn, Tableau, Software Development Lifecycle, Agile, Waterfall Model, NLP, AI, Cloud Computing, Data Science