Heya, this is Shravani Hariprasad
Data Scientist with around 3 years of experience delivering ML-driven solutions across fintech and transit domains. Experienced in performing statistical analysis and developing predictive models, NLP pipelines, and time series forecasting for large-scale financial datasets, as well as building AI systems for transit agencies worldwide to support asset monitoring, demand forecasting, and real-time decision support. Proficient in C++, Python, JavaScript, SQL, Scikit-Learn, PyTorch, and cloud platforms (AWS, GCP, Databricks), with hands-on expertise in GenAI (LLMs, RAG, LangChain). Skilled in MLOps and model deployment (SageMaker, FastAPI), alongside strong capabilities in data visualization using Tableau and Power BI. Adept at cross-functional collaboration, A/B testing, and translating complex data into actionable business insights.
