Tenacious. Curious. Dependable. These are just a few words used to describe me by my peers and managers. I am a dynamic, motivated Data Scientist with 6+ years of experience and extensive knowledge of advanced mathematical and statistical techniques. Proven track record of possessing strong business acumen, problem-solving and data storytelling skills required for navigating both industry and research environment. 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬: Python (Jupyter, Numpy, Scipy, Pandas, Scikit-learn, Keras, Tensorflow, PyTorch, PyMC3, Matplotlib, Plotly & Seaborn), DataBricks, PySpark, SQL, SparkNLP, spaCy, NLTK, GraphFrames, Git, MATLAB, AWS (EMR, SNS, CloudWatch, Lambda, EC2, ECS, Athena & Glue), MLFlow, Terraform and FORTRAN 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐒𝐤𝐢𝐥𝐥𝐬: Regression (Ridge, LASSO & Elastic-Net), Classification (Logistic, SVM & Tree-based), Cluster Analysis (NMF, PCA, HDBSCAN & K-Means), Graph Algorithms & Deep Learning (CNN, RNN & Transformers) 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝: Inverse Problems, Signal Processing, Linear Algebra, Statistical Modeling, Numerical Analysis, Mathematical Optimization & Quantum Computing In my spare time, I enjoy hiking, salsa dancing, and cricket. I am looking forward to making new connections! I can be reached at nkrishnarajofficial@gmail.com.