Nida A.

📊 Expert Data Analyst | Machine Learning | R Python Extensive Experience in MS Excel, Power BI, and SQL Skilled in transforming raw data into actionable insights to drive business decisions Proficient in Data Analysis, Data Visualization, and Data Modeling 🎓 About Me Ph.D. Scholar at one of the top universities in the UK MS in Data Science from the UK MS in computer science Experienced Data Analyst and Statistical Modeling Passionate about exploring the intricate workings of the brain using advanced data analysis and cutting-edge technologies.. 🏆 Expertise at a Glance AI Development | Research Publications | Data Science Consulting I work across the full data science lifecycle: Data Collection → Modeling → Deployment → Insights From proof-of-concept to enterprise-grade AI systems 🔍 What I Specialize In 📊 Advanced Analytics Statistical Modeling, Time Series Forecasting, Predictive Analytics Quantitative Analysis, Business Intelligence, KPI Dashboards 🤖 Machine Learning & Deep Learning Supervised & Unsupervised Learning CNNs, RNNs, LSTMs, Transformers Computer Vision, NLP, Speech Recognition ⚙️ End-to-End AI Solutions Model design, fine-tuning & optimization MLOps, API integration, scalable deployment Whether you need a model built from scratch, an existing pipeline optimized, or research-grade experimentation, I deliver results that matter. 🚀 🎓 Academic & Professional Background PhD Scholar in AI/Data Science MS in Data Science (UK) Strong foundation in Machine Learning, Deep Learning, Big Data, and Advanced Analytics 💻 Technical Stack 🔹 Languages Python 🐍 | R 📈 | SQL 🔹 Frameworks & Tools TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face, XGBoost, LightGBM, CatBoost, OpenCV FastAPI, Flask, Streamlit 🔹 Data & Cloud Power BI, Tableau AWS (S3, Glue, Redshift), GCP, Azure ML 🔹 Libraries NumPy, Pandas, Matplotlib, Seaborn, Plotly, Statsmodels, SciPy 🔹 Dev & MLOps Git, Docker, CI/CD, REST APIs, Model Deployment 🌍 Project Experience Highlights I’ve delivered high-impact AI solutions across: Healthcare AI – Medical image classification for cervical cancer using DenseNet, ResNet & EfficientNet Climate & Geospatial AI – Deep learning for drought prediction using 20+ years of satellite data Business Intelligence – Sales forecasting systems & stock market analytics dashboards Smart Systems – AI voice assistant for paramedics, real-time multi-camera object tracking Explainable AI (XAI) – Grad-CAM, SHAP, LIME for model transparency Predictive Modeling – Churn prediction, match outcome forecasting, OCR dataset development These projects reflect my ability to blend research excellence with practical, business-driven AI. 🔧 What I Offer ✅ Custom Machine Learning Models ✅ Deep Learning Architectures for CV, NLP & forecasting ✅ Clean, scalable Python solutions ✅ Data Analytics & Visualization for decision-makers ✅ Web Scraping & Automation (BeautifulSoup, Scrapy, Selenium) ✅ Model Deployment with APIs & dashboards 🌟 Why Clients Choose Me ✨ PhD-level analytical thinking + real-world delivery ✨ Strong communication & clear project updates ✨ Fast turnaround with enterprise-grade quality ✨ Focus on ROI, scalability, and long-term impact Data Analysis | Neuroscience Research | Computational Neurology | Neuroinformatics | Brain Data Science | Cognitive Analytics | Biomedical Signal Processing | Clinical Data Analysis | AI in Healthcare | Brain–Computer Interface (BCI) | Neuroimaging Analytics | EEG/MEG Analysis | fMRI Data Processing | Neural Signal Modeling | Brain Network Analysis | Connectomics | Computational Neuroscience | Predictive Modeling in Neurology | Machine Learning for Healthcare | Deep Learning for Medical Imaging | Time-Series Analysis for EEG | Statistical Neuroscience | Cognitive Modeling | Neural Decoding | Brain Disorder Prediction | Epilepsy Detection Models | Alzheimer’s Disease Analytics | Parkinson’s Disease Modeling | Stroke Risk Prediction | Mental Health Data Science | Neuropsychological Data Analysis | Behavioral Data Modeling | Brain Simulation Models | Spiking Neural Networks | Neural Dynamics | Brain-Inspired AI | Explainable AI in Healthcare | Clinical Decision Support Systems | Personalized Medicine Analytics | Bioinformatics | Multimodal Data Fusion (EEG + MRI + Clinical) | Digital Biomarkers | Wearable Sensor Data Analysis | Real-Time Brain Signal Processing | Neurotechnology Solutions | Computational Psychiatry | Neuro-AI Systems | Translational Neuroscience Analytics | Research-Grade Statistical Modeling | High-Dimensional Data Analysis | Bayesian Modeling in Neuroscience | Causal Inference in Brain Studies | Longitudinal Patient Data Analysis | Medical Data Visualization | Scientific Reporting & Publications 🛠 Tools & Technologies Experienced With Programming & Data Science Python | R | MATLAB | SQL Neuroscience & Signal Processing MNE-Python | EEGLAB | Brainstorm | FieldTrip | NeuroKit | BioSPPy Neuroimaging FSL | SPM | AFNI | FreeSurfer | Nilearn | DIP