About Prajval Nataraj
-
Viewed 1232
About me
Zealous and ambitious towards tech and science. Problem-solving is my forte and fascination.
By completing my internship and a major project on Raindrop removal from an image using an attentive generative adversarial network, I have hands-on experience in machine learning and deep learning. During my time as a Machine Learning Intern, I also contributed to the development of a CRF-based NLP model to automate an employee’s reimbursement process. Developed coding skills and supported senior software engineers in building web applications using ASP.NET MVC, which was deployed using Azure App Service. Trained in Python , Statistical and data mining in R, HTML, Bootstrap.
Hardworking and always motivated. An affable person with excellent communication skills, thus building the bridge between decisions and opinions as both a team leader and team member.
• Programming and tools: Python, R, SQL, C, HTML, CSS, JavaScript,Node.js, ASP.NET, MATLAB, TensorFlow, PyTorch,
Keras, NumPy, Pandas, Scikit learn, Jupyter Notebook, RStudio, Tableau, Snowflake, Azure, AWS (SageMaker, Lambda)
• Data: Data Analysis & Modeling, Data Visualization, Machine Learning, Quantitative Analysis, Statistics, A/B tests
Education
-
- 2022
University at Buffalo, The State University of New York
Master of Science: Data Science
• Relevant Coursework Completed: Statistical Data Mining, Programming and Database in Python, Probability & Numerical Mathematics for Computation, Machine Learning, Algorithms, Data Models and Query Language • GPA: 3.54/4
-
- 2020
JSS Academy of Technical Education, Bengaluru, India
Bachelor of Engineering: Computer Science Engineering
Experience
-
2022 - 2022
Mitchell International, San Diego, USA
Machine Learning Data Scientist Intern
• Executed the development and deployment of XGBoost-based claims automation pipeline on Amazon SageMaker.
• Integrated preprocessing of million rows of data and error handling in AWS Lambda.
• Built a Node.js script with Newman as library and expedited API testing by 80%. -
2020 - 2021
Accenture, India
Application Development Associate
• Developed and managed change requests for ‘Employee Portfolio’ web application components, employing ASP.NET MVC Framework.
• Assisted a team of 30 software architects to maintain and improve in house software modules and technical support.
• Centralized cross-platform pipeline on Azure. -
2020 - 2020
Imaginea (Part of Accenture), India
Machine Learning Intern
• Formulated a Conditional Random Field (CRF) based NLP model in python to automate and escalate employee’s reimbursement process by 35%.
• Prototyped machine learning applications and quickly determined application viability.
• Extracted, annotated & cleaned multiple large semi-structured documents. -
2019 - 2020
Tekatron IT Solutions, India
Machine Learning Intern
• Created customized applications to make critical predictions, reasoning and decisions, and calculate optimization algorithms.
• Researched, designed and implemented machine learning applications of Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, KNN and K-Means algorithm to solve business problems.