Passionate about building ethical and impactful AI integrated solutions. I leverage data to uncover insights, build predictive models, and drive informed decisions, always with a strong focus on fairness, transparency, and user well-being.
I am Suman Ghosh, a highly motivated and detail-oriented B.Tech Computer Science graduate with a strong foundation in Data Science, Machine Learning, MLOps and Business Intelligence. With hands-on experience in real-world projects and a passion for transforming data into actionable insights, I aim to drive data-informed decision-making in impactful domains.
I specialize in Python, SQL, and Power BI, and have applied my knowledge in both academic and professional environments. My key strengths lie in predictive modeling, deep learning, dashboard development, and extracting business value from organizational data. I've completed practical simulations such as the PwC Switzerland Virtual Experience where I built interactive dashboards for call center performance, customer retention, and D&I insights using Power BI.
In the field of Deep Learning, I led a Brain Tumor Classification project, processing over 19,000+ MRI images using CNN, VGG16, VGG19, and YOLOv8, achieving a 93% accuracy rate. My other projects include Air Quality Index forecasting using Random Forest, XGBoost, and LSTM, and a Banking System built with Python and SQL.
With strong communication, time management, and leadership skills, I thrive in collaborative environments and am always eager to learn new technologies. I am currently seeking challenging opportunities where I can apply my analytical thinking, creativity, and technical skills to solve real-world problems in AI/ML roles.
I firmly believe that data should be conducted with a strong ethical compass. My approach emphasizes building models that are not only accurate and efficient but also fair, transparent, and interpretable. I am committed to:
Autonomous AI-driven research assistant that automates the entire research process.
Brain tumor detection and prediction system through MRI scans.
Interactive Plotly dashboard for analyzing automobile sales trends with real-time data.
Power BI dashboard for call center performance analysis, customer retention insights, and D&I metrics from PwC Switzerland Virtual Experience.
Interactive quiz application with user authentication and score tracking using React and PostgreSQL.
I'm always open to discussing new projects, collaborations, and opportunities in data. Whether you have a question or just want to say Hi..., feel free to reach out.