Nayanika Ranjan | MS Data Science Student at Stevens Inst. of Tech.

Nayanika Ranjan

MS Data Science Student at Stevens Inst. of Tech.

Based in Union City, New Jersey, USA

About

As an aspiring data scientist completing my degree, I am actively seeking opportunities to contribute to projects and research papers while exploring internship and full-time roles in the field. With a strong foundation in data science, including expertise in statistics, linear algebra, big data, deep learning, and web mining, I am well-prepared to make valuable contributions to diverse projects. I am particularly interested in leveraging my skills to address real-world challenges in areas such as healthcare, where I have prior experience as a Data Engineer. My passion lies in developing and implementing machine learning models, and I am eager to collaborate with researchers and professionals to drive innovation in the field. I am open to exploring internships, and full time opportunities

Skills

Projects

Walmart Weekly Sales Prediction using Statistical Methods

This project aims to analyze Walmart's weekly sales dataset using statistical methods to identify trends and patterns that can enhance store performance, providing valuable insights into factors affecting sales and enabling data-driven decisions for improved retail operations efficiency.

State of Online Analysis - an Analysis

A study decodes the usage of online trackers, the websites that use them, and the organization that operates them. The study was presented in a poster presentation at Business Intelligence & Analytics Poster Presentation, Stevens Institute of Technology.

Parkinson's Prediction Using Linear Algebra Techniques

This project aimed to develop a Parkinson's disease prediction model using machine learning techniques, evaluating various models and metrics to identify the most accurate approach and demonstrating the potential for machine learning in improving early diagnosis and treatment.

Experience

2021-2022

Data Engineer at IBM

Experienced BPM FileNet Application Developer with expertise in Enterprise Content Management. Skilled in gathering and collecting data, performing batch processing or real-time processing, and providing access through APIs for easy querying. Collaborated closely with data architects and data scientists to determine appropriate data management systems and identify essential data for analysis. Proficient in addressing challenges related to database integration and managing unstructured data sets.

Education

2022 - 2024

Data Science - Stevens Institute of Technology

Master of Science in Data Science | GPA 3.56/4 (In Progress) | Hoboken, NJ, USA | Relevant Coursework: Applied Machine Learning, Deep Learning, Statistical Methods, Web Mining, Optimization for Data Science, Time Series Analysis, Linear Algebra for Big Data

2016-2020

Bachelor of Engineering - Sir M Visvesvaraya Institute of Technology

B.E. in Electrical and Electronics Engineering CGPA 7.21/10 | Bengaluru, KA, India | Relevant Coursework: Digital System Design, Signal Processing, Control Systems, Microcontrollers, Computer Networks, Data Structures, Java, and C Programming