Welcome to My Profile! Hi there! I’m an experienced AI Engineer with over 7 years in data analysis and 3 years as a Machine Learning Engineer. Holding a Master’s degree in AI and certifications from IBM in Data Science, I’m passionate about transforming data into actionable insights. Whether you need to analyze data, implement machine learning models, or visualize insights, I’m here to help. Let’s turn your data challenges into opportunities! If you're looking for expert assistance with data science or machine learning tasks in Python, you’re in the right place! What I Offer: - Machine learning or deep learning projects of any complexity - Data preprocessing, visualization, and insight extraction - Unsupervised learning to uncover hidden patterns - Hyperparameter tuning and algorithm implementation - Comprehensive AI tutorials with practical, hands-on examples - Quality work guaranteed - using state-of-the-art AI tools Additional Services: - Sync time to fit your schedule - Unlimited revisions to ensure your satisfaction - Strong documentation for future reference - Milestone-based payments for secure project delivery Your satisfaction is my priority! Let’s connect if this sounds like a good fit. --------------------------------------------------------------------------------------------- Programming Languages & Libraries - Python: Numpy, Pandas, Scikit-learn, SciPy, Matplotlib, Seaborn - SQL: MySQL Machine Learning & Deep Learning Frameworks - Machine Learning: Scikit-Learn, MLlib (Spark), XGBoost, LightGBM, CatBoost - Deep Learning: TensorFlow, PyTorch, Keras, FastAI Artificial Intelligence & Machine Learning Skills - Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest, Gradient Boosting Machines, XGBoost, LASSO, Ridge Regression, Support Vector Machines (SVM), K-Nearest Neighbors (KNN) - Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, PCA, t-SNE, Anomaly Detection - Reinforcement Learning: Q-Learning, Deep Q-Networks, Policy Gradient Methods, SARSA, PPO, A3C - Time Series Analysis: ARIMA, SARIMA, LSTM, Prophet, TimeGAN - Optimization: Hyperparameter tuning (Grid Search, Random Search, Bayesian Optimization), Genetic Algorithms, Gradient Descent Variants Natural Language Processing (NLP) - Text Processing & NLP Libraries: NLTK, SpaCy, TextBlob, Gensim, Hugging Face Transformers, BERT, GPT, T5, RoBERTa - NLP Applications: Named Entity Recognition (NER), Sentiment Analysis, Language Modeling, Text Summarization, Machine Translation, Question Answering - Advanced NLP Techniques: Transformers, Seq2Seq Models, LSTMs, RNNs, BERT Fine-Tuning, Attention Mechanisms, Word2Vec, GloVe, TF-IDF Data Science & Analytics, Predictive Analytics, Statistical Analysis, Feature Engineering, Data Mining and more.