Sutanuka Nayak — Business Development Executive

MSc Data Science Graduate | Healthcare Analytics Specialist | Deep Learning (BERT) & Business Intelligence | Seeking Full-Time Data Scientist Roles With 3+ years of proven experience in transforming complex data into strategic Business Intelligence within the Healthcare sector. I am actively seeking a Business Analyst or Data Analyst role where I can leverage my advanced analytical toolkit and specialized domain knowledge to drive critical decision-making and business growth. My focus is on deploying Advanced Analytics and my research-driven curiosity in AI/Machine Learning to solve high-stakes industry problems. Deep Learning & Research: Led a high-impact project at the National Medical College, applying BERT and Deep Learning models for crucial pulmonary drug risk assessment during the COVID-19 pandemic. This research-centric work demonstrates my ability to apply cutting-edge AI techniques. Business & Stakeholder Management: Skilled in liaising with key stakeholders (Hospitals, Insurance) to optimize financial processes, including negotiating cashless treatments and equitable pricing, ensuring both patient outcomes and financial transparency. Technical Proficiency: Expert in SQL, OLAP, Data Manipulation, and Statistical Analysis. Proficient in strictly adhering to Healthcare Data Standards and generating accurate, regulatory-compliant reports for entities like IRDAI and the Indian Government. I am profoundly curious about the ethical and practical applications of Artificial Intelligence in healthcare. I actively research and explore new Machine Learning models that push the boundaries of predictive analytics and enhance data-driven decision-making. I thrive in environments that value innovation and continuous learning. Ready to interview and deliver immediate value to your team. Let's Connect and Work with Data! 📫 Email: sutanuka.iq@gmail.com 🌐 Portfolio: datascienceportfol.io/sutanukaiq9

Stackforce AI infers this person is a Healthcare Data Scientist with expertise in AI and advanced analytics.

Location: Liverpool, England, United Kingdom

Experience: 5 yrs 5 mos

Skills

Healthcare Information Technology (hit)
Data Visualization
Data Science
Ai Integration
Machine Learning

Career Highlights

Led a project improving cancer treatment personalization by 30%.
Expert in deploying advanced analytics in healthcare.
Proven experience in stakeholder management and operational efficiency.

Work Experience

Liverpool John Moores University

Immersion Program (0 mo)

The New India Assurance Co. Ltd.

Associate (2 yrs 11 mos)

Foxmula - The Smart Way

Data Research Analyst (1 yr 11 mos)

Data Science Intern (3 mos)

Yellow Box

Web Development Intern (5 mos)

Vertocity

Data Science Intern (2 mos)

TC Global

Summer Intern (4 mos)

Education

Master of Science - MS at Liverpool John Moores University

Executive Post Graduate Diploma at International Institute of Information Technology Bangalore

B.Tech at West Bengal University of Technology, Kolkata

CBSC at Central Board of Secondary Education

ICSE at The Assembly of God Church School - India

Sutanuka Nayak

Business Development Executive

Liverpool, England, United Kingdom5 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led a project improving cancer treatment personalization by 30%.
Expert in deploying advanced analytics in healthcare.
Proven experience in stakeholder management and operational efficiency.

Stackforce AI infers this person is a Healthcare Data Scientist with expertise in AI and advanced analytics.

Contact

Skills

Core Skills

Healthcare Information Technology (hit)Data VisualizationData ScienceAi IntegrationMachine Learning

Other Skills

Analytical SkillsBig Data ProcessingBusiness AnalysisClaim InvestigationClaims HandlingClaims ManagementCloud ComputingCloud Infrastructure and Model DeploymentCommunicationCustomer Relationship Management (CRM)Data AnalyticsData ArchitectureData Compliance and Model ExplainabilityData PipelinesData Research

About

Experience

Liverpool john moores university

Immersion Program

Jun 2023 – Jun 2023 · 0 mo · Liverpool, England, United Kingdom · On-site

Participated in a focused 7-day Immersion Program for selected students aimed at Research on Data Science using AI alongside IoT and embedded systems. The training covered advanced techniques in mapping signals and integrating these technologies to enhance analytical capabilities.
🔹Enabled Technological Integration: Gained hands-on experience with IoT and embedded systems, exploring their potential to transform data science applications.
🔹Led a Project on Mental Health: Developed a final project that proposed innovative approaches to use AI in Mental Health. This initiative aimed to demonstrate how AI can support mental health advancements by providing predictive insights and enhancing patient care.
🔹Enhanced understanding of how to merge IoT with data science to create robust, real-time data processing applications.
🔹 Explored the ethical implications and potential benefits of introducing AI into mental health services.

Data PipelinesCloud ComputingDeep LearningData ArchitectureData ScienceAI Integration

The new india assurance co. ltd.

Associate

Apr 2023 – Present · 2 yrs 11 mos · Kolkata, West Bengal, India · On-site

🔹 Streamlined departmental operations and drove strategies for service excellence and operational
efficiency.
🔹Led HRM & Health Claims Coordination: Lead HR management and health claim processes, working
with TPAs to optimize procedures and improve patient outcomes.
🔹Directed Technical Support & Analytics: Manage technical client issues using JIRA and analyze customer
feedback to drive service improvements. Skilled in advanced Excel and data visualization for detailed
market and product analysis.
🔹Proficient in JIRA and advanced analytics tools, ensuring effective issue resolution and data-driven
insights.
🔹Build strong Analytical Acumen: Optimized strategized decision making by leveraging data for market
insights.
🔹 Communication & Leadership: Excellent at inter-departmental coordination and stakeholder
engagement. Proven leadership in fostering team collaboration and initiative.

Customer Relationship Management (CRM)Healthcare Information Technology (HIT)Data VisualizationClaims HandlingInsuranceMicrosoft Excel+6

Foxmula - the smart way

2 roles

Data Research Analyst

Sep 2020 – Aug 2022 · 1 yr 11 mos · Mumbai, Maharashtra, India · On-site

Led the development of a Precision Oncology Recommender System that achieved a 25% increase in diagnostic accuracy and 30% improvement in treatment personalization for cancer care. Integrating over 10 million patient records with genomic and clinical data, the system leverages machine learning to generate tailored recommendations, helping oncologists make data-driven decisions aligned with each patient’s unique profile.
🔹Utilized Apache Hadoop & Spark to process 10TB+ of healthcare data, reducing 40% ETL processing time.
🔹Deployed TensorFlow and PyTorch models, boosting recommendation accuracy by 23%. Apache
Mahout’s collaborative filtering increased by 33% relevant treatment recommendations.
🔹Implemented BERT, spaCy to analyze 100,000+ clinical documents monthly, ensuring up-to-date
medical insights with 87% accuracy in entity recognition for symptoms and drug names.
🔹Power BI and Tableau enabled real-time analytics for clinicians, enhancing data-driven insights for
200+ specialists and reducing 42% data interpretation time
🔹Using AWS SageMaker, Google Cloud AI, and Docker, achieved 99.9% uptime for real-time model
access across multiple facilities, with Kubernetes scaling resources dynamically to support 30% more
concurrent users.
🔹Integrated SHAP and LIME for model interpretability, maintaining 100% adherence to HIPAA and
GDPR standards, with data processing times reduced by 20% due to compliance automation.

MatplotlibData ResearchBig Data ProcessingDeep LearningNatural Language Processing (NLP)Data Visualization and Analytics+5

Data Science Intern

Jun 2020 – Sep 2020 · 3 mos · Mumbai, Maharashtra, India · On-site

🔹 Supported the team by preparing datasets, handling missing values, and standardizing data formats for over 10TB of healthcare data using Pandas and SQL.
🔹Conducted EDA as preliminary analysis to identify patterns and trends in patient data using Python libraries like Matplotlib and Seaborn.
🔹Assisted in Model Testing evaluating machine learning models built with TensorFlow and PyTorch, helping identify areas for improvement.
🔹 Learned to work with NLP Assistance like spaCy for basic entity recognition tasks on clinical documents under supervision.

Yellow box

Web Development Intern

Jul 2020 – Dec 2020 · 5 mos · Kolkata, West Bengal, India · On-site

As a front-end developer, I contributed to building a sleek, responsive, and user-friendly Interactive Healthcare Data Dashboard designed for healthcare professionals to monitor and analyze patient data in real-time. The dashboard displays complex data insights in a visually intuitive format, enabling clinicians and administrators to make data-driven decisions efficiently.
🔹 Leveraged CSS pre-processing with SASS for maintainable styles and faster development. CSS animations enhanced user interactivity.
🔹 Utilized modern JavaScript for dynamic content loading and smooth data filtering, optimizing the dashboard’s responsiveness and usability.
🔹Simplified DOM manipulation and streamlined event handling, enhancing the dashboard's interactivity using jQuery
🔹 Enabled Git & GitHub efficient version control and collaborative coding across a distributed team, ensuring code integrity and smooth updates.
🔹 Used VS Code’s integrated tools and extensions for efficient coding, debugging, and live previewing of changes.
🔹 Optimized build processes with Webpack for faster load times, bundling assets, and ensuring modular code structure.
🔹 Employed Jest & Cypress for testing frameworks to maintain high standards of code quality, performing both unit and end-to-end tests for flawless user interactions.
🔹Applied Google Lighthouse for Regular audits ensured the dashboard’s performance, accessibility, and SEO were optimized to exceed modern web standards.

Vertocity

Data Science Intern

Feb 2020 – Apr 2020 · 2 mos · Pune, Maharashtra, India · Hybrid

Assisted in data preprocessing by cleaning datasets, handling missing values, and ensuring data quality using Pandas and Excel.
Conducted exploratory data analysis to uncover trends and patterns using Matplotlib and Seaborn.
Supported the creation and testing of machine learning models, learning algorithms like regression, classification, and clustering.