Machine Learning Engineer
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Experienced .NET developer with one year of hands-on experience, skilled in the complete software development lifecycle encompassing analysis, design, coding, testing, and maintenance. Proficient in .NET framework, JavaScript, Java, SQL, and MongoDB. Proven capability to independently oversee projects while also effectively collaborating within team environments.
Enthusiastic about expanding expertise into the field of data science, possessing proficiency in Python, TensorFlow, Keras, and various machine learning algorithms to facilitate data-driven decision-making.
LTIMindtree - Software Engineer June 2022 – Aug 2023
Completed full-stack framework training covering IT Foundation, HTML & JS, MySQL, Azure & DevOps, and AEM.
Debugged web apps using AEM and Camos in CPQ domain.
Provided technical support for app queries.
Spearheaded bug reporting app enhancement with ML techniques: Decision Trees, Random Forest, SVM, Naive
Bayes, k-NN, and Neural Networks.
Utilized data science skills for data extraction, cleaning, and preprocessing, ensuring ML model readiness.
Developed, optimized ML algorithms, deployed models, and collaborated for app enhancement.
Verzeo - Data Science Intern February 2021-August 2023
•Spearheaded data preprocessing, ensuring optimal quality and relevance for analysis.
•Implemented cutting-edge regression, classification, and clustering algorithms for robust insights.
•Conducted rigorous validation to guarantee model accuracy and performance metrics.
•Engaged in proactive collaboration, documented best practices, and kept abreast of industry trends.
University of Exeter, UK Sep 2023 - Present
University of Mumbai, India - June 2016 – Sep 2020
B.E. Electronics and Telecommunication Engineering
GPA 8.67/10
