Yashwanth Reddy Kareddy
Cleveland,US
Summary
Passionate about data science, with a focus on applying skills in data analysis, machine learning, and visualization to address business challenges. Experienced in data preparation and statistical modeling, with a goal to contribute to meaningful projects that drive data-driven decisions and enhance customer satisfaction.
Overview
1
1
year of professional experience
Work History
Consultant
Wipro LTD
02.2022 - 07.2023
- Developed custom dashboards and visualizations to effectively communicate insights from complex data sets, resulting in actionable recommendations.
- Performed advanced data extraction and data manipulation.
- Created data mining architectures and models to identify trends in large data sets.
- Modeled predictions with feature selection algorithms.
- Transformed raw data into actionable insights by utilizing advanced statistical methods, effectively guiding business strategy with empirical evidence.
- Implemented robust machine learning pipelines to automate processes and enable real-time decision support capabilities for key stakeholders.
- Collaborated with cross-functional teams to identify opportunities for leveraging company data and driving business solutions.
- Applied feature engineering techniques to improve model performance, enhancing algorithmic predictions by incorporating domain knowledge into the modeling process.
- Maintained detailed documentation of project progress, methodologies employed, and results obtained – facilitating knowledge transfer across teams.
- Managed large-scale data pipelines and automated ETL processes through Azure Data Factory, enhancing data integration and performance.
- Developed and maintained data models for business reporting, integrating data with Power BI for comprehensive visualization and analysis.
Education
Master of Science - Computer And Information Sciences
Cleveland State University
Cleveland, OH08.2025
Bachelor of Science - Electronics And Communication Engineering
Keshav Memorial Institute of Technology
Hyderabad06.2019
Skills
- Statistical Analysis
- Data Analytics
- Data Mining
- Machine Learning
- Feature Engineering
- SQL
- Deep Learning
- Power BI
- Azure Data factory
- Python
- NumPy
- Pandas
- Scikit-learn
- Tensor-flow
- Keras
- Matplotlib
- plotly
- Seaborn
Projects
- Predicting Medical Appointment No-Shows
This project aims to predict the probability of a patient missing their medical appointment using a dataset of 100k appointments from the Brazilian public health system. The focus is on minimizing Type II errors, where patients are predicted to attend but do not, as this has a greater negative impact on healthcare facilities. Using techniques like logistic regression, random forests, and gradient boosting, the model will prioritize high recall to capture as many no-show cases as possible. Data preprocessing, feature engineering, and class imbalance handling will ensure optimal model performance.
Timeline
Consultant
Wipro LTD
02.2022 - 07.2023
Master of Science - Computer And Information Sciences
Cleveland State University
Bachelor of Science - Electronics And Communication Engineering
Keshav Memorial Institute of Technology
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