Shohoni Mahabub first saw the power of data in a high-stakes business meeting. Executives debated the future of a multi-million-dollar project, relying on reports filled with forecasts and assumptions. As she examined the numbers, patterns emerged, revealing inefficiencies no one had noticed. When she presented her findings, the discussion changed. The data reshaped the entire strategy.
That experience shaped her approach to problem-solving—data was more than a collection of numbers. It influenced decisions, improved efficiency, and transformed the way organizations operated. Nowhere was this more critical than in healthcare, where early insights could prevent life-threatening complications and reduce strain on medical resources.
Today, Shohoni sits at the forefront of national healthcare transformation, leveraging AI and data analytics to drive efficiency, improve patient outcomes, and optimize digital healthcare systems across the United States. With an extensive background in business intelligence, predictive modeling, and AI-enabled healthcare solutions, she seamlessly bridges the gap between complex data science and real-world healthcare applications on a national scale.
“The future of medicine isn’t just about treatments—it’s about intelligent systems that empower both providers and patients,” she states, her analytical mind constantly seeking innovative ways to redefine healthcare delivery. As a seasoned Business Data Analyst and AI advocate, Shohoni’s work integrates cutting-edge machine learning techniques with critical healthcare insights, reshaping how the industry interprets and utilizes medical data while aligning with U.S. government priorities on AI-driven healthcare reform.
Shohoni Mahabub
Turning Data into Actionable Insights
Shohoni Mahabub’s career has been defined by a sharp focus on efficiency, optimization, and strategic decision-making. Each role she took on built upon her ability to turn raw data into powerful insights, leading her to the cutting edge of AI-driven business intelligence.
At Unilever Bangladesh, she worked on supply chain management, where delays and inefficiencies often slowed production. She analyzed operations and pinpointed bottlenecks, but the real challenge lay in the limitations of static reports. Forecasting models relied on past trends rather than real-time insights, making it difficult to keep up with fluctuating consumer demand. This experience sparked her realization—businesses needed more dynamic analytics to remain competitive.
PwC Bangladesh sharpened her analytical capabilities further. She worked alongside risk management teams, evaluating financial strategies and operational efficiencies. Despite access to extensive reports, many organizations still relied on historical data rather than predictive models. She saw an opportunity—businesses could mitigate risks and unlock growth by shifting from retrospective analysis to forward-looking insights.
At Standard Chartered Bank, she applied this understanding to financial modeling. She observed how traditional banking models struggled to adjust to economic fluctuations, leaving gaps in risk assessment and investment planning. Advanced data analytics had the potential to bridge these gaps, allowing financial institutions to build more precise models for long-term stability.
Her experiences made one thing clear—data was not being fully leveraged. She recognized that businesses across industries needed stronger analytics frameworks, ones that integrated real-time insights with predictive intelligence.
This realization led her to pursue a Master’s in Information Technology (MSIT) with a specialization in Data Management and Analytics. She deepened her expertise by earning certifications in business analysis and project management, focusing on designing AI-driven solutions that merged technology with business strategy.
As she explored machine learning and predictive analytics, she found her next challenge—transforming healthcare with AI.
Applying AI and Machine Learning to Healthcare
As a Business Data Analyst in Technology Field, Shohoni develops AI-powered tools to improve patient care, optimize hospital operations, and drive efficiency across the healthcare system. Her work spans predictive modeling, machine learning, and real-time analytics, giving healthcare providers access to actionable insights.
One of her key projects focuses on AI-driven patient risk prediction. By analyzing a patient’s medical history, treatment responses, and lifestyle factors, her models identify individuals at risk for serious conditions. With this information, doctors can intervene early, reducing complications and improving outcomes.
For example, hospitals using this technology can detect early signs of cardiovascular disease. AI models assess genetic markers, past diagnoses, and behavioral risk factors to determine which patients are at high risk. Those identified receive preventive care before symptoms escalate, leading to better survival rates and fewer emergency room visits. Proactive treatment reduces healthcare costs by shifting focus from crisis response to early prevention.
Beyond predictive analytics, Shohoni ensures that AI solutions comply with HIPAA and GDPR regulations. Her work prioritizes patient privacy, security, and ethical AI design, ensuring that AI models are transparent and aligned with healthcare industry standards.
Shohoni’s recent innovation includes developing AI-enhanced telemedicine systems with voice-command technology to improve remote consultations. This feature empowers patients, especially for seniors and disabled patients, by enabling efficient communication with healthcare providers and ensuring timely intervention. This feature will act as AI -Assistant for both Patients and Providers.
Enhancing Business Intelligence with AI
Shohoni’s work extends beyond predictive healthcare. She collaborates with AI engineers and data scientists to refine machine learning models and improve business intelligence applications.
A key initiative involves AI-driven disease detection. By training models on historical patient data, she helps develop systems that assess the likelihood of conditions such as strokes and heart attacks. Early detection enables doctors to recommend lifestyle adjustments, medication, or treatment before symptoms worsen.
AI is also reshaping hospital operations. Shohoni’s models assist administrators in staffing optimization, patient flow management, and resource allocation. With predictive analytics, hospitals can anticipate patient surges, ensure adequate staffing, and prevent overcrowding. These tools help healthcare facilities run more efficiently while maintaining high standards of patient care.
By integrating AI with business intelligence tools such as SQL, Python, SQL, Python, Power BI, Tableau, and Looker, she helps organizations turn complex datasets into clear, actionable insights. This allows decision-makers to move beyond static reports and adopt real-time, data-driven strategies.
Transforming Public Health with Groundbreaking Research on AI
Shohoni’s research contributions have played a pivotal role in advancing AI-driven healthcare analytics. Her award-winning project, “Transforming Healthcare Landscape: Integrating Data-Driven AI Tools for Voice Command Enhancement in Telemedicine Applications,” earned her the prestigious Best Capstone Project Award (Fall 2023) from Washington University of Science and Technology.This innovation is especially useful for elderly patients, individuals with limited mobility, and those with language barriers, as the voice-command interface simplifies interactions with healthcare providers. By enhancing telemedicine platforms with intuitive voice technology, Shohoni’s work introduces a more inclusive, efficient, and patient-centric approach to remote care.
Shohoni’s contributions extend into groundbreaking research that bridges AI, data analytics, and business intelligence. Insights from her studies have the potential to revolutionize the U.S. healthcare system, making it more efficient, data-driven, and cost-effective.
Her study, The Impact of Wearable Technology on Health Monitoring: A Data-Driven Analysis with Real-World Case Studies and Innovations, explores how wearable devices enhance health monitoring through real-time analytics, improving preventive healthcare strategies. This research provides valuable insights into how AI-driven wearables can detect anomalies, track patient vitals, and support early medical interventions—an essential step in reducing unnecessary hospital admissions and nationwide healthcare costs.
She also co-authored Advancing Healthcare Transformation: AI-Driven Precision Medicine and Scalable Innovations through Data Analytics, which emphasizes the role of AI in precision medicine. This research demonstrates how AI enhances predictive diagnostics, treatment customization, and overall healthcare efficiency, paving the way for scalable innovations that could be deployed across U.S. healthcare institutions to optimize patient care and cost management.
Her study The Role of AI and Data Integration in Enhancing Data Protection in US Digital Public Health: An Empirical Study addresses critical issues surrounding data security in digital health systems. By integrating AI-driven encryption and anomaly detection, Shohoni’s research contributes to strengthening data privacy and compliance in healthcare infrastructures, ensuring the secure and seamless exchange of medical data across the country.
Launching TechWise to Drive AI Innovation
While her work continues to drive change in healthcare, Shohoni is expanding her vision by launching TechWise Business Solutions, an IT management firm specializing in AI-driven business intelligence, cloud computing, cybersecurity, and digital transformation.
TechWise is designed to help businesses leverage AI for greater efficiency. Shohoni is developing strategic partnerships with AWS, Microsoft, and Google Cloud, ensuring that TechWise remains at the forefront of AI advancements. Her goal is to provide companies with AI solutions that are scalable, practical, and adaptable to evolving business needs.
Through TechWise Business Solutions, Shohoni is expanding her mission to drive AI innovation in healthcare. By integrating AI with predictive healthcare models, she envisions a future where early disease detection, intelligent clinical decision-support systems, and enhanced telemedicine experiences become standard practices in healthcare institutions worldwide. Committed to advancing AI ethics in healthcare, Shohoni actively mentors professionals and advocates for responsible AI deployment to ensure data privacy, security, and equitable healthcare access.
Shohoni is focused on delivering innovative AI-powered solutions tailored for healthcare providers and organizations. She would like to spearhead strategic partnerships with U.S.-based hospitals, telemedicine providers, and research institutions to integrate voice-command technology into telemedicine applications, enabling seamless doctor-patient interactions that reduce delays and enhance accessibility for patients in remote or underserved regions. Her work aligns with U.S. government initiatives aimed at expanding digital healthcare transformation and AI integration.
Through TechWise Business Solutions, Shohoni is expanding her mission to drive AI innovation in healthcare. By integrating AI with predictive healthcare models, she envisions a future where early disease detection, intelligent clinical decision-support systems, and enhanced telemedicine experiences become standard practices in healthcare institutions worldwide. Committed to advancing AI ethics in healthcare, Shohoni actively mentors professionals and advocates for responsible AI deployment to ensure data privacy, security, and equitable healthcare access.
Shohoni is focused on delivering innovative AI-powered solutions tailored for healthcare providers and organizations. She would like to spearhead strategic partnerships with U.S.-based hospitals, telemedicine providers, and research institutions to integrate voice-command technology into telemedicine applications, enabling seamless doctor-patient interactions that reduce delays and enhance accessibility for patients in remote or underserved regions. Her work aligns with U.S. government initiatives aimed at expanding digital healthcare transformation and AI integration.
Furthermore, as the U.S. government has prioritized AI in healthcare reform–with the FDA streamlining approval processes for AI-powered medical devices–Shohoni also aims to extend TechWise’s reach into national healthcare initiatives by collaborating with U.S.-based organizations and agencies to drive AI-powered advancements in patient care and regulatory efficiency.
Her research, Natural Language Processing (NLP) in Analyzing Electronic Health Records for Better Decision Making, has demonstrated the potential of AI to revolutionize clinical decision-making and patient care. Evaluating NLP models on Electronic Health Records (EHRs), her study shows impressive results, with Named Entity Recognition (NER) achieving 91.2% precision, 88.5% recall, and an F1-score of 89.8%. This highlights NLP’s ability to accurately identify key medical terms like diseases, medications, and symptoms, paving the way for improved diagnostics and patient care.
Beyond technology development, Shohoni is committed to education, mentorship, and fostering industry collaboration. She regularly publishes research, speaks at industry conferences, and mentors AI professionals, ensuring that AI innovation continues to evolve responsibly. By training the next generation of AI specialists, she is shaping a workforce that understands the importance of ethical AI practices, data privacy, and AI-driven business intelligence.
She has actively engaged in key industry events, attending conferences like ICMLC 2024 in New York, where she explored AI-powered health data systems and discussed the role of AI in redefining health information systems and the convergence of business intelligence with the Internet of Things in healthcare. Additionally, she has participated in various webinars, further reinforcing her dedication to AI education and responsible innovation.
Through TechWise, Shohoni is building more than just an IT firm. She is creating a hub for AI-driven innovation, helping businesses and the government navigate complex technological shifts while promoting AI solutions that are responsible, impactful, and future-ready.
Shaping the Future of AI and Data Analytics
Shohoni Mahabub has built her career on turning data into meaningful action. Her expertise in predictive healthcare analytics, AI-driven business intelligence, and IT management is helping businesses and healthcare providers make more accurate and informed decisions.
By integrating AI into real-world applications, she is creating solutions that improve efficiency, optimize decision-making, and drive innovation. As she continues to expand TechWise, refine AI applications in healthcare, and mentor future AI professionals, her work is contributing to industries that rely on data-driven insights.
With AI-powered tools, businesses can plan more effectively, hospitals can improve patient care, and organizations can make smarter decisions. As technology evolves, Shohoni is ensuring that AI remains a force for progress, bringing greater accuracy, efficiency, and positive change to industries worldwide.
Photo by Tima Miroshnichenko from Pexels
