I’m a Data Scientist with two years of experience in cybersecurity and a degree in Data Science from UC Berkeley. I love using data to solve puzzles and find new ways to tackle tough challenges. Whether it's through machine learning or digging deep into analytics, I’m all about turning complex information into clear, actionable insights. I’m naturally curious and love collaborating with others to come up with creative solutions that make a real difference. I’m always learning, asking questions, and looking for new ways to bring value to the projects I work on.Technical Proficiency:Languages & Tools: Python, Java, Kotlin, SQL, Elasticsearch, Tableau, Apache Superset, DatadogLibraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, OpenCV, XGBoost, Matplotlib, Seaborn, SQL (PostgreSQL, MySQL)Machine Learning & Data Analysis: Feature Engineering, A/B Testing, Model Tuning & Optimization, Time Series Forecasting, Supervised/Unsupervised Learning, Clustering (K-means, etc), Ensemble Methods (Random Forest, Gradient Boosting), Dimensionality Reduction (PCA, t-SNE), Deep Learning, NLP, LLM (OpenAI)Development & Deployment: Git (Gitlab), Agile, Kubernetes, DataRobot, AWS