About

Deepanshu Kandpal is an accomplished Machine Learning Engineer with a strong background in Analytics and Engineering, Experimentation, MLE, and DS. He is currently working at Farfetch, where he is building an automated A/B testing platform. With almost 6 years of relevant experience, Deepanshu has worked with some of the biggest names in the industry, including Accenture and Jio. At Accenture, Deepanshu served as a Data Scientist in Applied Intelligence, where he leveraged data science techniques to find growth opportunities. He created a deep learning based outlet classifier using outlet names and location as independent variables and performed statistical analysis of areas based on socio-demographic factors. Deepanshu also used GCP Cloud services like AutoML and Big Query for building scalable ML systems, catchment analysis using QGIS and GeoPandas, and clustering similar markets for growth opportunities using K-means and PCA. At Jio, Deepanshu worked as a Machine Learning Engineer, where he created a deep learning model using Kera's LSTM layers for supervised pretraining of Fast-text word vectors for classification tasks to create word embeddings. He also designed scalable Data Preparation and Feature Engineering Pipelines in Python and created an N.E.R Model using SPACY for user command in HelloJio. Deepanshu leveraged pretrained models like BERT and GPT-2 for multiple ML projects and designed data visualization dashboards for EDA on Jio IVR Admin Portal. He also worked on a hierarchical intent classification model for HelloJio and did topic modeling using LDA on daily user logs generated by the production system to gain insights for HelloJio. Deepanshu has a Bachelor's degree in Electrical, Electronics, and Communications Engineering from the Maharashtra Institute of Technology. He possesses a wide range of technical skills, including ML, Data Scientist, test, Deep Learning, Research Scientist, GCP, BERT, SVM, GPT, Python, Kubernetes, Docker, Microservices, and Flask. Overall, Deepanshu Kandpal is a highly skilled Machine Learning Engineer with extensive experience in the industry. He is known for his ability to design and build scalable ML systems and his expertise in data science techniques.