Pallavi Dadape

WORK HISTORY

EDUCATION

ABOUT PALLAVI DADAPE

As a data analyst currently supporting AML regulatory reporting at CIBC, I thrive on analyzing data and extracting valuable insights that support informed decision-making and regulatory compliance. I have a strong background in math and statistics and specialize in data analysis, machine learning, predictive analysis, and data visualization. My passion lies in translating complex technical concepts into easily understandable language for non-technical stakeholders, helping organizations make informed decisions. One of my career highlights includes winning the Smart India Hackathon (SIH) 2019 Hardware Edition in Drones & Robotics, where our team developed an autonomous synchronous drones system with applications in drop shipping, seed-bombing, and surveillance. Additionally, I successfully implemented an NLP machine learning model at SickKids, reducing manual categorization efforts by hundreds of hours. I believe in continuous learning, collaboration, and leveraging technology to solve real-world problems. My approach is data-driven and I am committed to delivering actionable insights that drive decision-making and improve operational efficiencies. A self-starter with a passion for technology, I bring extensive experience in data analysis and a dedication to delivering high-quality results. Outside of work, I enjoy hiking, photography, and traveling to explore new places. I am also passionate about volunteering and giving back to the community. I am excited to connect with professionals and organizations that share my passion for data science and innovation. If you are looking for a dedicated and skilled data analyst or have opportunities to collaborate, please feel free to reach out. Let\'s connect and explore how we can create impactful solutions together!