Smruti Ranjan Pradhan

Results-driven Data Scientist with 3.5 years of experience in developing and evaluating machine learning models and generative AI solutions. Specialises in Python for data preprocessing, feature engineering, and model optimisation to meet business goals. Facilitates data analysis and stakeholder collaboration to enhance processes and systems. Employs data cleansing and reporting to elevate data quality and support informed decision-making.

• Machine Learning Model Portfolio — Python, Scikit-learn, TensorFlow, Keras GitHub, Developed and evaluated multiple supervised, unsupervised, and deep learning models, covering classification, regression, clustering, dimensionality reduction, and neural networks.
• Generative AI Applications Portfolio — Python, Google Gemini, LangChain, Streamlit GitHub, Built practical GenAI applications including a Smart ATS System and YouTube Transcriber, demonstrating LLM integration, prompt engineering, API integration, and interactive Streamlit applications.
• Netflix Global Content Analytics — Python(Pandas), Colab Notebook, Power BI GitHub, Built an end-to-end Netflix content analytics solution using Python (Pandas) and Power BI for data cleaning, transformation, visualization, and business insights.
• Olympic Games Historical Analytics — SQL, Power BI GitHub, Developed an end-to-end Olympic Games analytics solution using SQL and Power BI for data extraction, transformation, visualization, and performance reporting.