North Carolina Computer Science

Nishit Shah

Charlotte, North Carolina 940-***-**** *******@*********.*** Github LinkedIn Portfolio EDUCATION

Master of Science in Computer Science Aug 2023 - May 2025 University of North Carolina at Charlotte, North Carolina, United States Bachelor of Technology in Computer Science and Engineering Jul 2019 - May 2023 Vellore Institute of Technology, Vellore, Tamil Nadu, India TECHNICAL SKILLS

Programming : Python, R, MySQL, PostgreSQL, MongoDB, JavaScript, Java Tools : Tableau, Power BI, Microsoft Suite, Google Cloud Platform, Microsoft Azure, Databricks, Git, Apache Airflow, Postman, REST APIs, Jira

Libraries : Pandas, NumPy, Scikit-learn, Tensorflow, PySpark, Seaborn, Matplotlib, React, Node, Express, Next, Ggplot2 Core Competencies : Data Analysis, Data Visualization, Cloud, Big Data, ETL, Data Structures, Algorithms, Full Stack Development, Collaboration, Analytical

PROFESSIONAL EXPERIENCE

Graduate Teaching Assistantship Jan 2024 – May 2025 University of North Carolina at Charlotte Charlotte, NC

• Assisted Professor Bryan Dobbs in conducting interactive and engaging lectures for the Software Development and Data Science projects, providing valuable insights into methodologies and best approaches.

• Facilitated hands-on coding sessions, leading to a collective improvement in student project grades by an average of 10% while addressing individual troubleshooting challenges that enhanced overall technical understanding. Data Engineer Intern Sep 2021 - Apr 2023

Phable Bangalore, India

• Engineered and automated ETL workflows using Apache Airflow, Python, and PostgreSQL to process and structure data from consultations, medicine orders, and blog engagement, enhancing reporting efficiency and reducing manual intervention by 40%.

• Utilized Jira to implement Agile practices for sprint planning and task tracking, and collaborated with analytics teams to deliver insightful data visualizations using Power BI, supporting data-driven decisions across product and operations. Data Analyst Intern Oct 2019 - Jun 2021

Softwel Pvt. Ltd. Kathmandu, Nepal

• Conducted in-depth data analysis on software usage logs and user interaction patterns to uncover feature adoption trends, identify bottlenecks, and recommend actionable improvements. Insights from the analysis led to a 15% increase in engineering module efficiency and enhanced user experience for civil engineering professionals.

• Utilized SQL to extract, clean, and manipulate large datasets from internal systems, and designed dynamic Tableau dashboards to present KPIs and usage metrics. These visual reports streamlined stakeholder communication and accelerated data-driven decision- making by 20% across engineering and product teams. PROJECTS

Flight Delay Insights: Analysis and Predictions [Pandas, Seaborn, ML modeling, Tableau] Feb 2025

• Created an aviation delay analysis pipeline by preprocessing large datasets, applying machine learning models to predict flight delays and cancellations, and presenting findings through interactive Tableau dashboards.

• Generated data-driven insights for operational decision-making by identifying key delay patterns, achieving 92.5% classification accuracy, and crafting intuitive visualizations for effective communication. Uber Data Engineering Pipeline [Python, SQL, Google Cloud, Looker Studio] Dec 2024

• Developed a comprehensive data model for the Uber dataset, transforming raw CSV files into relational table structures using Python and SQL, and built a scalable data pipeline with Mage AI to process and transform over 100,000 ride records, enabling efficient exploratory analysis in BigQuery.

• Visualized key trends and patterns in Uber ride data using Looker Studio, providing actionable insights into ride operations and improving query performance by 15%.

London Bike Sharing [Python, SQL, Tableau] Nov 2024

• Executed an end-to-end data analysis project on London Bike Sharing data, leveraging Python and Kaggle library for data extraction, followed by data cleaning and standardization to ensure data accuracy and consistency for analysis.

• Conducted exploratory data analysis using SQL to identify key usage patterns and trends, and prepared Tableau dashboards to visualize insights, enabling actionable business decisions and enhancing operational efficiency. CERTIFICATIONS

Coursera: Google Data Analytics [Data Analysis, Case Studies, Data Visualization, SQL, Problem-Solving, R, Data Aggregation] Datacamp: Introduction to Statistics in Python [Correlation, Statistical reasoning, Scatterplot, Probability, Distribution]

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