I am a Data Engineer and Data Scientist with over 3 years of experience, specializing in developing and deploying intelligent, data-driven solutions. I have worked with leading organizations to design and implement systems that transform raw data into actionable insights. My expertise spans Data Engineering, Machine Learning, and Artificial Intelligence, offering a unique blend of skills to tackle diverse challenges. + Key Skills and Expertise: Data Engineering: - Data pipeline development using Python, PySpark, and Apache Airflow. - Big Data processing with tools like Hadoop, Apache Spark, and Databricks. - ETL development and orchestration. - Cloud Data Engineering with AWS (S3, Redshift, Glue), Azure, and Google Cloud (BigQuery). - Database management: SQL, NoSQL (MongoDB, Cassandra), and Data Warehousing. - Real-time data streaming with Kafka and Kinesis. Data Science & Machine Learning: - Statistical analysis, hypothesis testing, and feature engineering. - Building predictive models with Scikit-learn, XGBoost, LightGBM, and TensorFlow. - Fine-tuning and deploying Large Language Models and Generative AI tools. - Time series forecasting, anomaly detection, and recommendation systems. - Experiment tracking and hyperparameter tuning with MLflow and Optuna. Artificial Intelligence: - Natural Language Processing, Hugging Face Transformers, and NLTK. - Computer Vision applications with OpenCV and PyTorch. - Chatbot development and optimization using LangChain, lamaIndex and RAG pipelines. Visualization and Reporting: - Interactive dashboards with Power BI, Tableau, and Plotly. - Data storytelling and visualization for actionable insights. I am passionate about leveraging data and AI to empower businesses, enhance decision-making, and drive innovation.