Mudita Garg
Summary
Seasoned Data Analyst with background in designing and implementing data-driven solutions for various business challenges. Experience includes predictive modeling, artificial intelligence, machine learning, and big data technologies. Strengths lie in strong analytical thinking, problem-solving skills, and ability to translate complex data into actionable insights. Previous work has resulted in significant improvements in decision-making processes and business performance.
Overview
6
6
years of professional experience
Work History
Risk Technologist, Fraud Risk
Credit One Bank
01.2024 - Current
- Led PySpark adoption, establishing best practices and mentoring the team, resulting in a 20% boost in processing times and a strong knowledge-sharing culture.
- Introduced and integrated GitLab process flow and PySpark across teams, significantly improving coding standards and streamlining workflows.
- Engineered end-to-end data pipelines leveraging Spark framework to process, clean, and load extensive Fraud data, enhancing performance and resource efficiency; met strict SLAs and business needs, achieving 20% faster data processing time.
- Collaborated with cross-functional teams (Product, Finance, and Marketing) to ensure data solutions met strategic business goals.
Risk Analyst, Credit Risk
Credit One Bank
12.2022 - 12.2023
- Spearheaded innovation by creating and deploying a customer segmentation model, boosting opt-in rates by 20% and saving $500k by closing inactive accounts.
- Presented model to senior executives, highlighting its impact on personalized customer engagement, while sharing pivotal technical expertise with other teams to guide their projects.
- Conducted A/B testing to validate model effectiveness, improving user engagement by 14% and reducing delinquency by 10%.
- Automated monthly processes by streamlining the code, and conducting campaign audits, resulting in a 20% reduction in time for business stakeholders.
- Mentored and coached intern in Data Analysis and Machine Learning techniques, catalyzing a 10% boost in team productivity, and fostering a culture of continuous learning and development.
Data Science Intern
Apple Inc.
03.2022 - 09.2022
- Designed a highly scalable unified data platform by writing complex SQL queries to transform and aggregate disparate data sources (47k records/day/systems) increasing performance by 30%.
- Applied Machine Learning and NLP models to predict and forecast potential customer issues which influenced the feedback loop and saved 5 billion support cost.
- Communicated and presented analysis results to senior executives and improved partnerships with other business teams.
- Developed and implemented business metrics and interactive dashboards on Tableau to analyze customer experience and decision workflows, resulting in a 25% reduction in customer support issues and a 15% increase in customer satisfaction scores.
Machine Learning Researcher
University of Calabria, Italy
10.2019 - 12.2019
- Programmed data mining and pre-processing techniques in Healthcare and Informatics data.
- Summarized analysis on different machine learning models and compared the efficiency for disease prediction.
- Analyzed symptoms and diseases using patient data profiling and disease parameters by different algorithms in Python.
Data Analyst
University of Trás-os-Montes and Alto Douro, Portugal
05.2019 - 10.2019
- Accomplished a customer segmentation model to understand user behavior and customize the application offerings.
- Improved usability by 40% by implementing user testing on the application to improve patient experience and optimize product features.
Education
Master of Science - Business Analytics emphasis in Data Science
University of North Texas
Denton, TX05.2022
Bachelor in Technology - Information Technology
Guru Gobind Singh Indraprastha University
New Delhi, India05.2020
Skills
- Machine learning algorithms, Snowflake, PySpark development, data pipeline engineering
- Data mining: classification, association, clustering, linear regression, logistic regression, KNN, K-means
- Tools: SAS Enterprise Miner, WCM Pega, SAS Studio, Jupyter Notebooks, MS Office (Word, Excel, PowerPoint)
- Data engineering: SQL, QlikView, Hadoop, Astra, Teradata, PySpark, Dremio, Snowflake, Cassandra
- Programming languages: PySpark, Python, PySpark, R, Java, C, C, CSS, SAS, and OOPS
- Databases: SAS, data warehousing, data modeling, dimensional modeling, ETL, Google Cloud Platform (GCP), NoSQL database, Kimball
Timeline
Risk Technologist, Fraud Risk
Credit One Bank
01.2024 - Current
Risk Analyst, Credit Risk
Credit One Bank
12.2022 - 12.2023
Data Science Intern
Apple Inc.
03.2022 - 09.2022
Machine Learning Researcher
University of Calabria, Italy
10.2019 - 12.2019
Data Analyst
University of Trás-os-Montes and Alto Douro, Portugal
05.2019 - 10.2019
Master of Science - Business Analytics emphasis in Data Science
University of North Texas
Bachelor in Technology - Information Technology
Guru Gobind Singh Indraprastha University
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