Utkarsh Lal obtained his Bachelor of Technology in Computer Science and Engineering with a specialization in Big Data from Manipal Institute of Technology, Karnataka, completing his studies from July 2017 to July 2021. This comprehensive program equipped him with the necessary skills and knowledge to excel in the field of computer science, with a specific focus on handling and analyzing large-scale data sets.
đź’Ľ Work Experience:
Utkarsh Lal has gained extensive professional experience across various prestigious organizations. Starting as an Agile Analytics Engineer Intern at Kimberly-Clark, Bangalore, from January 2021 to July 2021, he honed his skills in analytics and data engineering. Subsequently, he transitioned to Accenture, Gurugram, as a Data Science Analyst from August 2021 to March 2022, where he further developed his expertise in data analytics. Following this, Utkarsh held the role of Analyst – Product Development at American Express, Gurugram, from March 2022 to June 2022, focusing on product enhancement and risk analysis. He then served as a Data Science Consultant at StatusNeo, Gurugram, from August 2022 to December 2023, working on predictive modeling and analytics projects. Currently, he holds the position of Data Engineer at Amazon, Gurugram, from February 2024 onwards, contributing to data-driven solutions and innovations.
🛠️ Projects:
Utkarsh Lal has spearheaded several impactful projects across diverse domains. Notable among these is the development of a Product Popularity Forecaster and Calculator for Reliance JIO, aimed at predicting and quantifying product popularity on e-retail platforms. He also led the implementation of an End-to-End Data Architecture for Churn Analysis on Google Cloud at Accenture AI, facilitating insightful analysis of customer behavior. Additionally, Utkarsh contributed to pioneering research in Facial Emotion Recognition using CNN at MIT, advancing the field of computer vision. His expertise extends to predictive modeling, as demonstrated by his work on a Loan Default Prediction Supervised Classifier and a Sentiment Classifier with Web Crawler for product reviews, both at Kimberly Clark. Furthermore, he has engaged in exploratory projects in Computational Neuroscience, showcasing his versatility and commitment to cutting-edge research and innovation.
🏅 Scholarships & Achievements:
Utkarsh Lal’s contributions have been acknowledged through prestigious accolades. His research paper on negation handling in natural language processing (NLP) earned him the Best Paper award at the ICEEICT (IEEE) conference, showcasing his expertise and innovation in the field. Additionally, Utkarsh was selected as an AI mentee for the KaggleX BIPOC scholarship program in the 2023 cohort, receiving a grant of $1,000. These achievements underscore his dedication to advancing knowledge and expertise in artificial intelligence and data science