Bhavya Pandya

MS in Data Science, Analytics and Engineering

August 2023 - May 2025

GPA: 4.0/4.0

Relevant Coursework

• Data Processing at Scale
• Statistics for Data Analyst
• Data Mining
• Data Analytics (Using R)
• Data Driven Optimization
• Analyzing Big Data
• Data Visualization
• Project Management
• Information Assurance and Security

B.E. in Computer Engineering

August 2018 - May 2022

GPA: 9.2/10.0

Relevant Coursework

• Artificial Intelligence
• Machine Learning
• Big Data Analytics
• Advance Calculus
• Discrete Mathematics
• Probability & Statistics
• Advance Data Structures and Algorithms
• Database Management Systems
• Web Data Management

GRAero Co.

August 2025 - Present

Data Analyst

• Contracted onsite at Envoy (American Airlines), specializing in reliability and operational analytics for aircraft fleets.
• Deliver data analytics for aircraft reliability and predictive maintenance onsite at Envoy (American Airlines), leveraging advanced machine learning models (random forests, logistic regression) to forecast failure trends and reduce unscheduled maintenance by 20%.
• Develop and deploy interactive dashboards in Tableau and Power BI tracking operational metrics for 250+ aircraft, with automated refresh pipelines built in Python and SQL.
• Automate reporting workflows using SQL, Excel Power Query, and Python, cutting manual data manipulation time by over 40% and improving report accuracy.
• Build, validate, and maintain predictive models for component lifetime estimation, utilizing real-time data sources and feature engineering techniques.
• Perform deep-dive statistical analysis (hypothesis testing, time series analysis) on over 100k+ flight event records to identify reliability root causes and support data-driven fleet management decisions.
• Collaborate cross-functionally with engineering, IT, and airline operations to translate business requirements into actionable advanced analytics solutions.
• Present insights and monthly reliability KPI reports to senior leadership, informing strategic optimization and cost reduction initiatives.

Elite Ecom LLC.

October 2024 - January 2025

Data Science Intern

• Analysed and interpreted complex datasets from TikTok shop platform, uncovering key marketing analytics and sales trends that led to a 25% improvement in campaign targeting efficiency.
• Developed and implemented predictive models using Python and scikit-learn to forecast sales trends, achieving 85% accuracy in revenue projections and enabling data-driven inventory decisions.
• Engineered automated data cleaning pipelines that processed over 100,000 daily TikTok shop transactions, reducing data preparation time by 40% and improving data reliability.
• Created dynamic Tableau dashboards visualizing web traffic patterns and product performance metrics, leading to actionable insights that increased customer engagement by 30% on the TikTok shop platform.

Amsafe Aviation

June 2024 - August 2024

Business Systems Data Analyst Intern

• Spearheaded data standardization initiatives across QAD ERP system, resulting in 40% reduction in cross-departmental data discrepancies and enhanced operational efficiency.
• Engineered custom real-time reporting dashboards for senior management, streamlining decision-making processes & reducing report generation time by 60%.
• Orchestrated implementation of data validation protocols across manufacturing and supply chain modules, leading to 90% improvement in inventory accuracy.
• Designed and executed comprehensive data management training programs for cross-functional teams, achieving 100% adoption rate of new standardized processes across departments.

Thunderbird School of Global Management, Arizona State University

February 2024 - September 2024

AI Integration Specialist

• Created an interactive negotiation simulation platform using OpenAI and Google Gemini, enabling real-world practice & personalized scenarios for students.
• Implemented real-time performance feedback and analysed user data to enhance educational outcomes and user experience.
• Built Conversational AI with Meta Human character, enabling communication with 7 animated characters.

Feynn Labs Pvt. Ltd.

April 2023 - June 2023

Machine Learning Intern

• Developed and implemented machine learning models to analyze large datasets related to consumer behavior and market trends, contributing to data-driven decision-making and improving market strategy.
• Conducted data cleaning and preprocessing, model selection and tuning, and visualization of results using various tools and technologies such as Python, R, SQL, and data visualization tools.
• Collaborated with cross-functional teams to implement machine learning models into the company's products and services, increasing accuracy and reducing manual work.

Hindustan Petroleum

October 2022 - March 2023

Database Intern

• Collaborated with cross-functional teams to identify and resolve database issues, resulting in a 20% increase in system uptime.
• Implemented automated data validation checks, reducing the risk of data inconsistencies by 30%.
• Developed and maintained databases to ensure optimal performance and data integrity.
• Monitored database performance and made recommendations for improvements.

The Sparks Foundation

September 2022 - October 2022

Data Science and Business Analytics Intern

• Conducted exploratory data analysis on a real-world dataset to identify trends and patterns, using Python libraries such as Pandas, Numpy, and Matplotlib.
• Developed and evaluated machine learning models for a classification task, achieving an accuracy of 90% using algorithms such as Decision Trees, Random Forests, and Logistic Regression.
• Worked with SQL databases to extract and manipulate data for analysis, and used SQL queries to merge multiple datasets from different sources.
• Presented findings and insights in a clear and concise manner, using data visualizations and PowerPoint presentations.

BrainyBeam Technologies Pvt. Ltd.

February 2022 - April 2022

Data Science and Machine Learning Intern

• Acquired proficiency in Python programming language and popular data science libraries such as Pandas, NumPy, and sci-kit-learn, enabling effective data manipulation, analysis, and modeling.
• Collaborated daily with senior members and fellow team members, enhancing communication and teamwork skills in a professional setting.
• Designed and implemented a recommendation system that accurately recommends movies to users based on their preferences, utilizing machine learning techniques and algorithms such as collaborative filtering.
• Documented day-to-day tasks and learnings in detailed reports, providing valuable insights and knowledge for future reference and analysis.

Cardiovascular Disease Prediction using Genetic Algorithm

January 2023

International Journal of All Research Education and Scientific Methods

• Conducted research on cardiovascular diseases, which are a major cause of morbidity and mortality in modern society.
• Identified the need for a powerful tool for the accurate prediction of heart disease at a lower cost.
• Proposed a system based on common risk factors such as age, family history, diabetes, hypertension, high cholesterol, tobacco smoking, alcohol intake, obesity, and physical inactivity for the early detection of heart disease.
• Applied artificial neural network (ANN) and binary classification to the dataset of risk factors for prediction and training of the network.
• Developed a model that could potentially help medical professionals diagnose heart disease more accurately and give patients a warning about the probable presence of heart disease before visiting a hospital.

Driver's Drowsiness Detection using Artificial Intelligence

July 2022

International Journal of All Research Education and Scientific Methods

• Addressing the serious issue of driver drowsiness and its impact on road safety.
• Proposing a hybrid approach that combines vehicle-based and action-based methods for accurate and timely detection of driver drowsiness.
• Utilizing advanced neural network techniques and algorithms for the development of the proposed approach.
• Highlighting the limitations of current approaches for drowsiness detection and how the proposed approach overcomes them.
• Emphasizing the importance of the research for improving road safety and reducing accidents caused by drowsy drivers.

Languages and Databases

Frameworks

Tools

IBM Data Science Professional Certificate

IBM

View Certificate

Google Advance Data Analytics Professional Certificate

Google

View Certificate

Google Data Analytics Professional Certificate

Google

View Certificate

Google Business Intelligence Professional Certificate

Google

View Certificate

Introduction to Data Science

IBM

View Certificate

Applied Data Science

IBM

View Certificate

Data Science Specialisation

Analytics Vidhya

View Certificate

AWS Certified Cloud Practioner

Udemy

View Certificate

Python Basics

University of Michigan

View Certificate

Data Science in Real Life

Johns Hopkins University

View Certificate

Database Management System

IIT Kharagpur

View Certificate