I am a Ph.D. Data Scientist with a strong foundation in data science and machine learning, dedicated to developing innovative solutions for complex challenges and delivering actionable insights across various industries.As a Senior Data Scientist at Junction AI, I have honed my expertise in time series forecasting, leveraging advanced machine learning models like Prophet, Temporal Fusion Transformer, Autoformer, and PatchTST to generate highly accurate predictions. My work has driven success in areas such as sales forecasting and beyond.To enhance scalability and efficiency, I implemented advanced parallelization techniques in Databricks, enabling the system to handle millions of time series forecasts seamlessly. I also played a key role in advancing the company’s data ecosystem, improving data pipelines, ensuring data quality, and designing impactful visualization tools.My technical expertise spans multiple programming languages, data science methodologies, and cloud environments, including Azure, AWS, and Databricks. I am proud to collaborate with a diverse and talented team, delivering value to customers and society through cutting-edge AI solutions.