Akansha Tyagi

Computer Science postgraduate specializing in Data Science

Greater Noida, Uttar Pradesh, India

@akansha_tyagi_19

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About

Computer Science postgraduate specializing in Data Science with experience in Python, SQL, machine learning, and data analysis. Has worked on real-world datasets and machine learning projects, with interests in data science, machine learning, and analytical roles.

Experience

Internship Trainee

Samsung Innovation Campus

Jun 2024 – Aug 2024
Web Developer Intern

SOMHH

Nov 2023 – Jan 2024

Education

Integrated B.Tech + M.Tech

Gautam Buddha University · Gautam Buddha University

Computer Science — Data Science · Apr 2021 – May 2026
Higher Secondary

Leelavati Ramgopal Saraswati Vidya Mandir

CBSE · 2020 – 2021

Skills

<3 months

SQL NumPy Python Pandas PyTorch Power BI Matplotlib Microsoft Excel Model Evaluation Data Preprocessing Feature Engineering Supervised Learning graph neural networks

Tools / apps / platforms

6 to 12 months

MySQL VS Code Microsoft Excel Microsoft Power BI

3 to 6 months

Git Canva GitHub Tableau Microsoft Word Jupyter Notebook

Projects

EEG-Based Brain Signal Analysis

Python, Machine Learning

Analyzed EEG datasets to identify patterns in brain activity. Applied data processing and machine learning techniques for signal classification. Worked with complex biomedical data to derive meaningful patterns and insights.
Advanced House Price Prediction

Python, Pandas, NumPy, Scikit-learn, Matplotlib

Preprocessed and analyzed housing data to identify important factors affecting house prices. Applied machine learning models for price prediction and compared model performance. Performed exploratory data analysis and visualized feature relationships and distributions.
EEG-Based Cognitive Workload Estimation

Python, PyTorch, Machine Learning, Graph Neural Networks

Developed a machine learning approach to estimate cognitive workload from EEG data. Performed data preprocessing, normalisation, and sliding-window segmentation. Constructed functional connectivity graphs from EEG signals and applied GNN-based learning for classification.

Courses & certifications

IoT Workshop
CEDT Drone Technology Workshop
Data Science Workshop · IIT Roorkee

🏆 Achievements & awards

Medal Winner

University Sports Fest, Dance & Stage Plays

⚽ Extracurricular activities

Team Lead Volunteer

UNESCO India-Africa Hackathon

📚 Publications

EEG-Based Cognitive Workload Classification Using Dynamic Functional Connectivity and Graph Neural Networks · 2026

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