Yashwanth Devireddy

Background

About Yashwanth Devireddy

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. What I Bring: • End-to-end expertise in Data Science pipelines — from data collection and cleaning to model development, deployment, and evaluation. • Proven ability to manage cloud resources (AWS, Azure) and big data tools (Spark, Hadoop, Databricks) to scale solutions. • Strong communication and leadership skills, collaborating with cross-functional teams to deliver data-driven strategies and outcomes. • I’m always eager to connect with fellow data enthusiasts, innovative organizations, and those passionate about leveraging data to make informed decisions. Career Highlights: • Data-Driven Innovation: Developed and deployed machine learning models that improved customer engagement by 14% and optimized inventory management, reducing stockouts by 18% for a major U.S. retail client. • Predictive Analytics: Built robust demand forecasting and pricing optimization models, leveraging algorithms like XGBoost, Random Forests, and Neural Networks, resulting in a profit margin increase of 8%. • Fraud Detection Expertise: Spearheaded data-driven solutions to detect and reduce fraudulent activities, improving detection accuracy by 20% and reducing financial losses by $3M for a leading financial client. • Visualization & Storytelling: Created interactive dashboards and actionable insights through Tableau, Power BI, and Python visualization libraries to support strategic decision-making. MS in Computer Science (Data Science) from UT Dallas | Dean's Scholar Let’s Connect: Contact: yashwanthdevireddy1@gmail.com (945) 217-2023 LinkedIn: linkedin.com/in/yashwanth-devireddy/ GitHub: github.com/yash413 Portfolio: yash413.github.io Technical Skills: Programming: Python, R, SQL, Java, Scala Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost, Random Forests Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, ggplot2 Cloud & Big Data: AWS (EC2, S3, RDS), Azure, Spark, Hadoop, Snowflake, Databricks Statistics & ML: Regression, Classification, Clustering, Neural Networks, A/B Testing, PCA, Time Series analysis Certifications: Stanford Machine Learning, DeepLearning.ai Specialization