Tanzira Najnin

Background

About Tanzira Najnin

I am a Data Scientist with 6 years of research experience in Machine Learning, Statistics, and Experimentation & Causal Inference within Biomedical Sciences. My expertise lies in the development and analysis of machine-learning models using large-scale datasets. In my current role, I work with immune repertoire data. I have a strong background in applying advanced statistical methods and machine learning techniques to uncover meaningful patterns and insights from complex biological data. Areas of Expertise 1. Machine Learning -Supervised Learning: Linear/Logistic Regression, Decision Trees, Random Forest, K-Nearest Neighbors, Support Vector Machines, XGBoost, Multilayer Perceptron, Convolutional Neural Networks (CNN), Deep Learning, Regularization, Cross-Validation, Grid-Search-Unsupervised Learning: Clustering (K-Means, Hierarchical, Spectral), Principal Component Analysis (PCA)- Data Transformation: Normalization, Feature Selection, Feature Engineering, Missing Value Imputation-Libraries: Scikit-Learn, SciPy, NumPy, Pandas, TensorFlow, PyTorch. Statistics - Bayesian Statistics, Maximum Likelihood Estimation (MLE), Hypothesis & Significance Analysis, Poisson Regression, t-test, Hypergeometric test, False Discovery Correction, ANOVA. Data Visualization - Seaborn, Matplotlib, UMAP, t-SNE, Excel, Tableau, Power BI. Programming Languages & Platforms - Python, Java, MATLAB, C, C++, R, SQL, NoSQL, JavaScript, Git, SLURM HPC, Bash, Linux.