SHUBHRA SRIVASTAVA

Driven Computer Science Engineering student (2022-2026) at KIIT University, demonstrating a strong foundation in data science and strategic analysis. Proven ability to tackle complex problems and enhance operational efficiency through innovative solutions. Aspiring to leverage technical skills to contribute effectively to impactful projects within the technology sector.

• Introduction to Cybersecurity, CISCO
• Foundations in Data, Google
• Sustainability as a Business, Schneider Electric Global Student Experience, 2024
• Strategy and Game theory for management, IIM Ahmedabad
• Business Analytics for decision making, University of Colorado Boulder
• Product management: Foundations and stakeholder collaboration, IBM
• Product Management: Initial Product Strategy and Plan, IBM
• Introduction to Cloud Computing, IBM

• ICAI Commerce Wizard, 2019, Achieved a top 500 rank in this prestigious national-level commerce aptitude test conducted by the Institute of Chartered Accountants of India (ICAI).
• Delegate at KIIT Model United Nations (MUN), 2024, United Nations High-Level Political Forum for Sustainable Development (UN HLPF).

• Autism Prediction, Built a machine learning model to predict autism using dataset analysis and feature engineering. Achieved high accuracy with data preprocessing, classification, and model evaluation., Python, Pandas, Scikit-learn, Jupyter Notebook
• Sugarcane Production Data Analysis and Visualization, Analyzed sugarcane production trends to enhance efficiency and yield. Created intuitive visualizations to present key insights for decision-making., Python (Matplotlib, Seaborn, Pandas), Data Analysis
• Diabetes Prediction, Analysed diabetes data and also developed a model for prediction of diabetes in patients., Python, Pandas, Scikit-learn, Jupyter Notebook
• Black Friday Sales Data Analysis, Analyzed consumer purchase behavior and trends during Black Friday sales. Presented actionable insights to improve marketing strategies and sales campaigns., Python, Data Visualization Libraries (Seaborn, Matplotlib)