About

Aditi Panigrahi is a Trainee Data Scientist with a passion for delivering analytical solutions across multiple domains. With 4.54 years of relevant experience, Aditi has a proven track record of problem definition, solution design, data cleaning, analysis, insight generation, presentation, documentation, and business development. Her exceptional skills in statistics, hypothesis testing, and A/B testing have enabled her to develop robust models for image recognition and product management. Aditi is currently working as a Data Analyst at Gojek, where she is responsible for developing and implementing data-driven solutions to improve the company's operations. She has extensive experience in working with tools and technologies such as Python, Azure, SQL, Postman, Microsoft Flow, Microsoft Sharepoint, Power Automate, and Tableau. Aditi's expertise in model development, image recognition, and data engineering has helped her deliver exceptional results for her clients. In her previous role as a Data Scientist at Mu Sigma, Aditi was responsible for delivering a camera-integrated android mobile application that automated the process of store audit for stores. She led a team of four members across design, analysis, and delivery, and was responsible for managing the entire product lifecycle and support. Aditi contributed to the creation of PRDs and architecture of the product and managed and implemented the backend infrastructure and process for identifying SKUs in an image using image recognition algorithm. As a result, Aditi enabled a seamless process of real-time store auditing by achieving an accuracy of ~95% and reduced the report generation time by less than 6 minutes. Aditi's education history includes a Bachelor of Education in Electronics & Telecommunication Engineering from KIIT University, where she graduated in 2019. She also holds a degree in Computer Science from Delhi Public School, where she graduated in 2014. Aditi's tech stack includes Python, SQL, Azure, Pandas, Data Scientist, Research Scientist, Computer Vision, ML, Databricks, OpenCV, Data Engineering, Tensorflow, DevOps, Mobile, Backend, product manager, infra, Data Warehouse, Neural Networks, Apache Hive, and Frontend.