Data Analyst at Amazon Resume Sample

Hired by: Amazon

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Data Analyst at Amazon Resume Sample (Full Text Version)

Aaron Pandell

Email address:
Phone number: 999-999-999


  • Detail-oriented and results-driven software engineer with over 3 years of industry experience. Currently pursuing a graduate degree in computer engineering from the University of South Florida.

Work experience

11/2020 - 08/2022, System Engineer, Tata Consultancy Services, India
  • Provided valuable technical support to colleagues and key clients, admitting to addressing ad hoc requests, while also delivering effective training to new trainees.
  • Leveraged data insights to implement Editable templates, content fragments, and Experience fragments for personalized content delivery, increasing user engagement by 15%.
  • Utilized SQL for in-depth user data analysis, effectively discovering and preventing spam hits from form submissions, resulting in a substantial 40% reduction in spam incidents.
  • Managed AEM administrative tasks, including user permissions, authoring, DAM, multi-site management, dispatcher, and workflow handling. Led successful migration to AWS cloud, achieving 40% scalability improvement and 30% system performance enhancement.
  • Collaborated closely with cross-functional teams to identify and resolve component and data quality issues, ensuring data integrity and consistency throughout the organization.
  • Employed Tableau for data analysis, creating essential metrics and KPIs to track progress across various requests and drive a significant 15% improvement in team productivity.
12/2022 - 04/2023, Student Instructor Learning Assistant, University of South Florida, Tampa
  • Performing predictive analytics and designing reports on the University student data using PowerBI
  • Work involves data analysis, Web scraping using Python, Data warehouse management, and Data modeling.
12/2019 - 06/2020, Software developer (intern), Indian Railways, India
  • Enhanced asset management with IoT sensors and data analytics, reducing maintenance costs by 20% and increasing asset uptime by 15%.
  • Played a key role in the software development lifecycle for the train tracking feature, following Agile methodology and utilizing Git, Jira, ServiceNow, Confluence, and Jenkins.
  • Elevated user satisfaction by integrating customer feedback, leading to a notable 20% rise in positive customer reviews.


08/2022 - 08/2024, Graduate, Computer Science, University of South Florida, Tampa, USA

Coursework: Algorithms, Computer Architecture, Cloud Computing (AWS), AI, Data Mining, ML, and DBMS


Programming Language
Python, Java, C, SQL, Html, CSS, Javascript
Pandas, NumPy, Matplotlib, Seaborn
Scikit-learn, TensorFlow, Keras
Tableau, Power BI, Excel, Visual Studio, Salesforce, Adobe Experience Manager (AEM), and AWS


2023, Machine Learning by, Stanford University
2023, Data Analysis with Python, IBM
2021, AEM Sites Business Practitioner, Adobe
2020, Programming in Python, HackerRank


Task Tree Retrieval for Robotic Cooking.
  • Developed Iterative Deepening and Heuristic search algorithms for Robotic Cooking Learning Tasks, yielding a 20% enhancement in task retrieval efficiency.
  • Published a research project paper on Robotic Learning, available on arXiv (, contributing to the field's knowledge and advancement.
Reinforcement Learning-Based Robotic Pouring Task
  • Achieved a 30% reduction in task completion time over 1000 training episodes using a Q-learning agent with Bellman equation updates, implemented with Python libraries NumPy and TensorFlow.
  • Validated the agent's performance in CoppeliaSim, with a deviation of only 5% from the target, leveraging Python libraries such as PyRep, SciPy, and Matplotlib for simulation, analysis, and visualization.
Image Classification using CNN
  • Developed a TensorFlow-based CNN model, attaining an 88% accuracy rate in image classification and reducing training time by 15% with optimized batch processing using the Kaggle dataset.
  • Leveraged a pre-trained LeNet-5 network, achieving image recognition with precision (92%), recall (91%), and an F1-score (93%), assessed via a confusion matrix.
Analyzing Gun Violence in Schools: Tableau
  • Utilized Tableau for data analysis and visualization to uncover patterns and trends in school-related gun violence.
  • Gathered and analyzed data from credible sources, including the Washington Post and Gun Violence Archive.
  • Explored key factors such as location, casualties, perpetrator demographics, weapon types, and shooting methods. Aiming to key risk factors, inform prevention strategies, and understand patterns across regions and demographics. 
Predicting Heart Failure Risk Analysis: Python
  • Conducted data preprocessing, exploration, and statistical analysis on a Kaggle dataset comprising 300 patient records.
  • Utilized KNN, Decision Tree, Random Forest, and Naive Bayes classification algorithms to predict the likelihood of heart failure occurrence.
  • Identified the optimal model through rigorous evaluation of precision, accuracy, recall, and F-measure on an unseen test dataset.
Position Overview:

A Data Analyst is a skilled professional responsible for collecting, processing, and interpreting data to help organizations make informed decisions. They use various analytical tools and techniques to identify trends, generate insights, and create reports. Data Analysts play a critical role in data-driven decision-making, helping companies optimize their operations and achieve their business objectives. They possess strong quantitative and analytical skills, proficiency in data analysis software, and the ability to communicate their findings effectively to non-technical stakeholders. Data Analysts are vital for transforming raw data into valuable information for strategic planning and problem-solving.

Company Overview:

Amazon is one of the fastest-growing companies with 10,000+ employees and revenue $10+ billion per year. It offers a competitive salary, various cool employee benefits, and a lot of opportunities for growth. However, things can be very siloed and bureaucratic in such big companies. Get ready for too many information, too many emails, and little guidance. However, if you’re willing to go the extra mile, accept the challenges and prove yourself, you will be very successful here. Some Amazon employees praise a four-day work week, whereas some claim that kitchen could have better snack options. It all depends on your priorities.

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