Saravanan M

About Me

IITM Pravartak GUVI Certified Data Scientist with a background in healthcare operations and hands-on experience in Python, SQL, Machine Learning, Deep Learning, Streamlit, MLflow, and YOLOv5 and end-to-end project development. Passionate about building intelligent systems that make real-world impact across healthcare, finance, and e-commerce domains. Passionate Data Scientist with hands-on experience in building and deploying ML/DL models across healthcare, finance, and ecommerce. Delivered high-accuracy solutions (up to 95%) with a strong focus on EDA, model tuning, and realworld deployment. Proficient in handling structured and unstructured data, and developing end-to-end AI applications.

Technical Skills

Programming Language: Python, SQL

Data Analysis & Wrangling: Pandas, NumPy, Data Cleaning, Data Preprocessing, EDA, Feature Engineering

Machine Learning: Scikit-learn, XGBoost, Random Forest, Logistic Regression, Decision Trees, Model Building, Model Evaluation, Hyperparameter Tuning

Deep Learning: TensorFlow, Keras (DNN, CNN)

NLP & Gen AI: Text Preprocessing, RAG, LLaMA 2, LangChain, LlamaIndex

Visualization: Matplotlib, Seaborn, Plotly, Power BI

Deployment & Tools: Streamlit, MLflow, Git, Jupyter Notebook

Databases & Cloud: MySQL, PostgreSQL, AWS

Certifications

GUVI - IITM Pravartak Master Data Science Certification

Certified Programming and Data Science Professional GUVI (IIT Madras, HCL, Skill India, NSDC) — Grade: A

Professional Experience

• Analyzed Explanation of Benefits (EOB) and accurately posted payments including Copay, Coinsurance, and Deductibles within Revenue Cycle Management systems.
• Achieved 99% accuracy in handling sensitive patient and insurance data in compliance with HIPAA guidelines.
• Streamlined payment posting workflows using eCase, Parallon, and Artiva Workstation, improving turnaround time by 10%.
• Performed data auditing, reporting, and issue resolution using Excel and internal tools, enhancing billing process efficiency, Gained indepth domain knowledge in US healthcare and insurance processes.
• Processed and analyzed healthcare claims data to identify trends and optimize workflows.
• Automated data entry and reporting tasks using Python, improving operational efficiency.
• Collaborated with QA team to ensure HIPAA compliance in data handling.