Machine Learning Data Analyst

ARUSHI GUPTA

857-***-**** ****************@*****.*** linkedin.com/in/arushi-gupta25 github.com/Aru010197 Education

University of Massachusetts Boston, MA

Master of Science in Business Analytics Sep. 2022 – Dec 2023

• Coursework: Multivariate Regressions, Business Intelligence, Product Management, Big Data, Data Warehousing Kalinga Institute of Industrial Technology Bhubaneswar, India Bachelor of Technology in Computer Science May 2015 – May 2019

• Coursework: Database Management Systems, Machine Learning, Computer Programming, Cloud Computing, AI Experience

Business Analyst, 24By7Security Coral Springs, MA Feb 2024 – Present

• Improved data processing efficiency and accuracy by designing & implementing ETL pipelines, resulting in a 20% reduction in data processing time

• Improved strategic decisions by using SQL for data extraction, boosting reporting accuracy by 15%

• Translated business requirements into technical specs to meet stakeholder needs Data Science Intern, KPIT Novi, MI Jun 2023 – Aug 2023

• Researched & evaluated pre-trained machine learning models, evaluating their performance, and selecting the most accurate model with an average accuracy rate of 86%

• Presented project insights and updates to senior management, demonstrating strong communication skills & the ability to adapt to feedback

Data Analyst, Accenture Pune, India Jul 2021 – Jul 2022

• Led a team in migrating data from legacy systems, ensuring 100% data integrity & compliance with privacy regulations while saving 25% in storage costs

• Trained testers in best practices, reducing training times by 30% and decreasing errors by 10% saving the company approximately $50,000

• Collaborated with developers on AWS Trino syntax to improve test case accuracy & ensure data consistency Data Analyst Associate, Accenture Pune, India Jul 2019 – Jul 2021

• Participated in requirements analysis, collaborating with internal teams to produce software designs and architecture, contributing to successful application development of applications, with a 95% on-time delivery

• Executed SQL and Python for data analysis and forecasting, providing insights that improved strategic decisions

• Created Tableau dashboards that enhanced client decision making, improving business performances by 15% Projects

Crack Detection on Tire Jun 2023 - Aug 2023

• Developed and implemented an innovative machine-learning model using an ensemble approach to accurately classify tire images as “cracked” or “not cracked,” improving accuracy and significantly reducing false positives

• Achieved high accuracy and balanced performance in the classification of cracked and normal tire images, demonstrating the effectiveness of the model in accurately detecting and categorizing tire cracks Face Recognition for Attendance Jun 2023 - Jul 2023

• Utilized face-recognition AI model for scanning and recognizing human faces, tracking attendance by recognizing the known faces and generating a CSV file for each day with the recorded attendance

• Developed a robust facial recognition attendance system using Python with key libraries like OpenCV, NumPy COVID-19 Data Analysis - Tableau Apr 2023 - May 2023

• Created impactful visualizations, emphasizing continent-wise infection percentages and total deaths

• Communicated insights to inform decision-making through concise presentation of COVID-19 trends Malaria Detection-based on Deep Learning Feb 2023 – Apr 2023

• Developed an automated malaria detection system using VGG16 deep learning architecture to accurately identify infected blood cells in microscopic images, streamlining diagnosis.

• Emphasized model accuracy and efficiency over interpretability, highlighting expertise in optimizing deep learning models for critical medical applications like malaria diagnosis. Technical Skills

Programming Languages: Python, R, SQL, MySQL, Java, C/C++, JavaScript Data & Big Data Tools: Tableau, Power BI, Alteryx, Spark, Microsoft Project, Microsoft Excel, Microsoft Suite Cloud, Infrastructure & OS: AWS, Microsoft Azure, Amazon Redshift, S3, Ubuntu, Linux Methodologies & Frameworks: Agile, Waterfall, ETL, JIRA

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