I specialize in data analytics and machine learning, providing comprehensive end-to-end solutions that transform raw, unstructured data into actionable insights and outcomes. With expertise in Python, R, SQL, TensorFlow, Scikit-learn, Power BI, Tableau, and Pandas, I develop analytical pipelines and predictive models that empower organizations to make intelligent, data-driven decisions. My work spans the entire data lifecycle — from data cleaning, preprocessing, and feature engineering to exploratory data analysis (EDA), visualization, and the deployment of advanced machine learning models. I have hands-on experience in solving diverse real-world problems, including classification, regression, clustering, time-series forecasting, and deep learning, ensuring models that are both accurate and interpretable.
What differentiates my approach is a strong balance between technical depth and domain understanding. Coming from a background in Biomedical Engineering and Data Science, I combine scientific rigor with analytical innovation — ideal for projects in healthcare, pharmaceuticals, life sciences, and other data-intensive domains. I leverage libraries such as NumPy, Matplotlib, Seaborn, PyTorch, and XGBoost to create optimized, explainable models and deploy them efficiently using frameworks like Flask, FastAPI, or Streamlit. Whether it’s building predictive models for drug efficiency, designing data dashboards for business intelligence, or automating AI-based workflows, my focus remains on quality, reproducibility, and clarity of insight.
My differentiators include a research-oriented mindset, proficiency in interpreting data beyond metrics, and the ability to translate complex analytics into simple, strategic recommendations. I deliver detailed analytical reports, intuitive dashboards, and fully functional ML solutions with documented results and performance metrics. With a proven track record of accuracy, scalability, and timely delivery, I aim to help businesses harness the power of data to achieve measurable impact and drive innovation.