Skills
Python, R, SQL, Scala, Julia, C++, PyTorch, TensorFlow, Keras, JAX, Scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Stable Diffusion, Diffusers, OpenCV, YOLO, Detectron2, MMDetection, Pandas, NumPy, SciPy, Spark, Hadoop, Databricks, Kafka, Snowflake, BigQuery, Airflow, MLflow, Kubeflow, Docker, Kubernetes, Flask, FastAPI, TorchServe, TensorFlow Serving, AWS SageMaker, AWS Lambda, EC2, S3, Azure ML, GCP Vertex AI, Tableau, Power BI, Matplotlib, Seaborn, Plotly, ETL, Data Lakes, Feature Store, Data Versioning, MLOps, CI/CD, Reinforcement Learning, Deep Learning, Supervised Learning, Unsupervised Learning, NLP, LLMs, Computer Vision, Generative AI, Time Series Forecasting, Anomaly Detection, Recommendation Systems, Predictive Modeling, Causal Inference, Bayesian Modeling, Edge AI, TinyML, SLAM, ROS, ROS2, Sensor Fusion, Autonomous Systems, Experimentation, A/B Testing, Statistical Analysis, Technical Strategy, Mentorship, Leadership, Communication, Agile, Project Management
About
Distinguished Lead Data Scientist with over 14 years of experience delivering end-to-end data solutions that power strategic business decisions. Proven expertise in machine learning, deep learning, natural language processing (NLP), computer vision, and predictive analytics, combined with advanced proficiency in Python, R, SQL, TensorFlow, PyTorch, and Spark. Adept at architecting and deploying scalable data pipelines, statistical models, and AI/ML solutions on AWS, Azure, and GCP cloud platforms. Strong background in big data technologies (Hadoop, Hive, Kafka) and MLOps/CI-CD for model deployment.
Recognized for building and leading high-performing teams, driving cross-functional collaboration, and mentoring junior data scientists to elevate organizational analytics maturity. Skilled communicator with experience translating complex data insights into actionable strategies for executives and stakeholders, ensuring measurable business impact. Passionate about advancing ethical AI, data governance, and explainable machine learning to drive innovation and sustainable growth.
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