About

Amulya Nittala is a highly skilled data scientist who is currently seeking full-time roles in the field. With a Bachelor's degree in Computer Science and Engineering from NIT Rourkela and currently pursuing a Masters of Science in Information Systems from Northeastern University, Amulya has a strong educational foundation. He has also gained practical experience through internships at KPMG and IMG Worlds of Adventure. Amulya's technical skills include a wide range of programming languages such as Python, R, SQL, Java, C, PL/SQL, Pig, and Hive. He is also well-versed in various ML/DL techniques such as regression, clustering, classification, decision trees, random forest, SVM, Naïve Bayes, neural networks, Bayesian inference, XGBoost, feature engineering, hyperparameter tuning, and NLP. He is proficient in Python libraries such as pandas, numpy, seaborn, matplotlib, scikit-learn, regex, TensorFlow, and PyTorch. Additionally, he is familiar with software and tools such as Jupyter notebooks, Excel Tableau, git, GitHub, and Linux. He has experience working with databases such as Oracle Database, MySQL, MongoDB, and Hadoop (HDFS, MapReduce). Amulya's current role as a Front-End Developer Intern at KPMG involves enhancing the user interface design of an auditing tool that automates the auditing process for auditors using HTML, CSS, JavaScript, and Django framework. He also performs data labeling and data correction on purchase orders and invoices using an in-house built tool in the back end. In his previous role as a Machine Learning Intern at IMG Worlds of Adventure, Amulya cleaned data sets from various first-party sources inside the theme park such as restaurants, gift shops, and rides for performing trend analysis after data acquisition. He visualized sales data from first-party sources to better understand seasonality and trends for stakeholders. He also developed an XGBoost regression ML model for time-series forecasting to predict sales and ride occupancy. Amulya's tech stack includes frontend development, data science, research science, SQL, XGBoost, ML, MySQL, MongoDB, Hadoop, Jupyter, SVM, random forest, Python, seaborn, HDFS, hyperparameter, deep learning, NLP, scikit, MapReduce, JavaScript, TensorFlow, pandas, neural networks, PyTorch, backend, Django, and Apache Hive. With 2.86 years of