Summary
Overview
Work History
Education
Skills
Affiliations
Projects
Accomplishments
Subjects
Websites
Interests
Timeline
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Nidhi Bhupalam

Chicago,IL

Summary

Dedicated Data Scientist with hands-on experience from three internships & a Co-Op, seeking opportunities in Data Science, AI/ML, and Software Engineering. A recent graduate known for exceptional research abilities, technical expertise, and strong problem-solving skills.

Overview

2
2
years of professional experience

Work History

Data Analyst Intern

ComEd Exelon Company
06.2023 - 08.2023
  • Conducted in-depth analysis of restoration tool data, utilizing various Machine Learning (ML) techniques to extract valuable insights from data and to advance automation
  • I developed a predictive model integrating regional and storm type factors and job complexity to optimize workforce allocation for outage restoration.
  • Identified and analyzed industry or geographic trends with business strategy implications.

Data Science/Software Developer, Co-Op

Nokia
Naperville, IL
09.2022 - 12.2022
  • Developing programs in Python Panda using Anaconda & Jupyter for testing and modifying data sets and tickets of Radio Control Software
  • Participating in Agile/Scrum development process & code reviews.
  • Writing scripts in Linux code to interface/control to HW components in the radio.

Software Intern

ComEd Exelon Company
06.2022 - 08.2022
  • Developed programs to automate processes and improve user experience.

Research Intern

NLP Labs of Prof. Natalie Parde, Dept. of CS, UIC
06.2021 - 08.2021
  • Research work is based on Natural Language Processing (NLP)

Education

Bachelor of Science in Data Science with Computer Science - Minor in Business Administration

University of Illinois At Chicago (UIC)
05.2024

Skills

  • Python Pandas, NumPy
  • Machine Learning
  • SQL and Databases
  • SAS, R Programming (R Studio)
  • Tableau, Power BI
  • Data Mining, Big Data Analytics
  • Optimization Techniques
  • C/C, JAVA (NetBeans)
  • Dart (Flutter)
  • Git Hub, Jira, Agile/Scrum, Excel

Affiliations

  • Engineering Mentor for a course on engineering careers with a focus on internship activities and career development.
  • Clubs: Women in Computer Science & Women in Engineering Programs
  • Actively mentored in Ignite Leadership Program (6 weeks), Student Leadership Conference & LeaderShape Institute.

Projects

Big Data Project (Chicago Public Schools):
  - Developed an early warning system for CPS using big data analytics and implemented ML algorithms for predictive modeling, along with conducting temporal and geospatial analyses on the 2011-2012 Progress Report Cards dataset.
  - Skills/Tools Used: Data preprocessing, machine learning, interactive dashboard development.

Application of Supervised Machine Learning Model:
  - Analyzed Twitter data using NLP & ML techniques to build a classifier with Python scikit-learn, predicting users' political inclinations (Republican/Democratic) based on their tweets.
  - Skills/Tools Used: Natural Language Processing (NLP), machine learning, Support Vector Machines (SVM), 4-fold cross-validation.
Machine Learning Application for Breast Cancer Subtypes Data Analysis:
  - Conducted an in-depth analysis of breast cancer subtypes using advanced statistical and ML techniques.
  - Skills/Tools Used: Logistic regression, Linear Discriminant Analysis (LDA), Naïve Bayes, K-Nearest Neighbors (KNN), R programming, data normalization.

Accomplishments

  • Co-Curricular Leadership Medal Recipient
  • Chancellor's Student Service Award Recipient
  • ComEd Future of Energy Scholarships Recipient (2022 & 2024) awarded to top 40 students in Engineering

Subjects

  • Machine Learning
  • Data Science
  • Data Mining
  • Artificial Intelligence

Interests

  • Travel
  • Baking, Cooking
  • Self Improvement
  • Volunteering

Timeline

Data Analyst Intern

ComEd Exelon Company
06.2023 - 08.2023

Data Science/Software Developer, Co-Op

Nokia
09.2022 - 12.2022

Software Intern

ComEd Exelon Company
06.2022 - 08.2022

Research Intern

NLP Labs of Prof. Natalie Parde, Dept. of CS, UIC
06.2021 - 08.2021

Bachelor of Science in Data Science with Computer Science - Minor in Business Administration

University of Illinois At Chicago (UIC)
Nidhi Bhupalam