Yashwanth Devireddy

Yashwanth Devireddy

🚀 Data Scientist | Machine Learning Enthusiast | MS in Computer Science @UTDallas | Driving Business Growth Through Data Insights | Storytelling with Data 📊

About Me


Hi, I'm Yashwanth Devireddy

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🚀 Transforming Data into Actionable Insights


Strategic thinker with 3+ years in data science and analytics, I thrive at the intersection of data, business strategy, and technology innovation. My passion lies in solving complex problems by harnessing the power of Machine Learning, Statistical Modeling, and Data Visualization to drive impactful business decisions.

Experience

JCPenney

Data Scientist (Feb 2024 - Present)
  • Architected a machine learning pipeline using Scikit-learn and Python to analyze 25M+ customer records, implementing RFM analysis combined with K-means clustering and PCA to identify high-value customer segments, resulting in a 14% increase in targeted email campaign engagement
  • Developed predictive models using XGBoost and Random Forests to forecast customer purchase behavior across different segments, enabling personalized pricing strategies that increase customer spend by 15% for premium segments
  • Implemented the segmentation model in production using AWS SageMaker, enabling real-time personalization of marketing campaigns and increasing response rates by 28%
  • Led the development of a demand forecasting system using neural networks in TensorFlow to optimize inventory across 650+ retail locations, reducing stockout incidents by 18% while maintaining optimal stock levels
  • Engineered a pricing optimization algorithm leveraging decision trees and linear regression, which boosted profit margins by 8% while ensuring competitive positioning against top market rivals through real-time adjustments

JCPenney

Data Scientist Intern (Aug 2023 - Dec 2023)
  • Created a predictive model using XGBoost and Python to forecast seasonal trends, contributing to a 10% improvement in inventory planning accuracy
  • Conducted exploratory data analysis and generated visualizations using Python (seaborn) and R (ggplot2) to understand customer behavior patterns, providing actionable insights that increased average order value by 8%

Accenture

Data Scientist (Aug 2020 - Dec 2021)
  • Architected and executed a targeted credit card marketing campaign, yielding a 16% spike in the open rate for X-selling credit cards through strategic customer segmentation with clustering algorithms
  • Instrumental in developing a predictive credit card fraud detection classification model for a leading US banking client, resulting in a $3M reduction in fraud losses within the first year. Leveraged data science methodologies, and performed a thorough analysis and visualization of transactional trends and patterns
  • Pioneered a substantial over 6% reduction in Net Credit Loss by effectively applying Boosting techniques to predict credit balances and refine credit lines
  • Collaborated with cross-functional teams to develop predictive models to improve business outcomes, resulting in a 20% increase in revenue
  • Achieved a noteworthy 12% reduction in consumer churn for gold credit card customers by adroitly implementing Bagging classifiers with Grid Search CV

Enique Solutions

Data Analyst (Jan 2020 - Jul 2020)
  • Conducted in-depth exploratory data analysis for a major US fintech client using Python (Pandas, Numpy) to identify patterns in customer transaction data, leading to a 12% reduction in fraudulent activities
  • Built predictive models using logistic regression to assess transaction risk patterns, improving fraud detection accuracy by 20% for the client's retail banking division
  • Designed interactive Tableau dashboards to visualize key financial metrics, enhancing the client's ability to make data-driven decisions and improving reporting efficiency by 25%

Education

The University of Texas at Dallas [Dallas, TX]

Master of Science in Computer Science | Data Science Track (2022 - 2023)
  • Awards: Awarded the Erik Jonsson Dean’s Scholarship in a cohort of 600 graduate Computer Science students
  • Coursework: Machine Learning, Statistics for Data Science, Database Design, Artificial Intelligence, Big Data Analytics and Management, Algorithms and Data Structures

Velagapudi Ramakrishna Siddhartha Engineering College [India]

Bachelor of Technology in Electronics and Communication Engineering

Projects

Click here to explore my portfolio or visit my projects page