Rishita Jena

Graduate in Biotechnology with skills in Data Analytics, Machine Learning, Predictive Modelling and Business Intelligence. Guided by internships at IIT Bhubaneswar, NISER, and NIT Rourkela, well-versed in Healthcare analytics, Public Policy evaluation, and AI based research projects. Looking for analyst positions that involve shaping strategy and problem solving to have business impact with solid quantitative skills.

Research Assistant (RA) at National Institute of Technology (NIT), Rourkela (2025-07 – Present)

• Lead AI-driven research on healthcare and medicine within multidisciplinary government-funded projects.
• Apply machine learning models (Random Forest, Gradient Boosting, and NLP) to develop predictive safety and policy analytics tools.
• Collaborate with research experts and engineers to translate technical models into real-world decision-support systems.

Healthcare and Quantitative Analytics Intern at National Institute of Technology (NIT), Rourkela (2024-11 – 2025-07)

• Developed a deep learning pipeline for hepatic carcinoma detection using MRI data and Explainable AI (Grad-CAM, SHAP), improving model interpretability for clinical decision support (Q1 manuscript under review).
• Developed two computer vision systems using YOLOv5 and DETR for industrial PPE monitoring, resulting in publications at NCMME 2025 and IEOM Bali 2025.

Project Intern at Indian Institute of Technology (IIT) Bhubaneswar (2024-03 – 2024-06)

• Directed the data analytics component of a government evaluation project analysing the Mahatma Gandhi Rural Employment Guarantee Scheme (MGNREGS).
• Built interactive Power BI dashboards enabling policymakers to visualise migration patterns and labour market trends.
• Conducted exploratory data analysis to identify drivers of rural stress migration.

Research Intern at National Institute of Science Education and Research (NISER) (2023-12 – 2024-02)

• Led quantitative analysis for research assessing the social cost of carbon in India's power sector.
• Applied statistical modelling to evaluate economic and environmental impacts of emissions.
• Presented research findings at a state-level academic conference.

Integrated MSc in Biotechnology – Centre For Biotechnology, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan (Deemed to be University) (2026)

12th – DAV Public School, Sec-6, CDA, Cuttack (2020)

10th – DAV Public School, Sec-6, CDA, Cuttack (2018)