About

Devin Haria is a data science consultant at Accenture AI with over 4 years of relevant experience in the field. He holds a BS-MS Dual Degree in Economics from IIT Kanpur. Devin is an NLP enthusiast and has achieved an AIR 7 on Analytics Vidhya's Sentiment Analysis Hackathon (Innoplexus Online Hiring Hackathon). Devin's expertise lies in deep learning and advanced machine learning techniques. He has worked on various projects in the field of enterprise analytics, including bench strength optimization, where he constructed an integer optimization solution to derive an optimal bench strength, using future demands and roll-offs. He implemented 4 time-series models (Exponential Smoothing, Neural Networks, ARIMA, ARIMAX) to forecast demands and used R as a platform to automate the algorithm, which is universal to all project-based companies. Devin has also developed a user-friendly dashboard in R Studio Shiny, where user inputs parameters to obtain the optimized bench size. This project has helped cut costs and counter project delays. Devin's tech stack includes data science, AI, sentiment analysis, NLP, ML, deep learning, Python, Selenium, research scientist, SQL, XGBoost, random forest, Databricks, web, BERT, Keras, CI/CD, TensorFlow, neural networks, Flask, and Azure. He has worked as a data scientist at Accenture, where he gained exposure to deep learning and advanced machine learning techniques. Devin is a highly motivated individual with a passion for data science and analytics. He is a quick learner and has a strong work ethic. He is always looking for new challenges and opportunities to learn and grow in his field.