Anudeep Vadavalli
Summary
Data Science graduate student with practical experience in machine learning, backend integration, and API implementation. Skilled in optimizing operations through data-driven forecasting and automation, with a strong track record of collaborating across teams to deliver efficient, client-focused solutions.
Experienced with data analysis and machine learning techniques. Utilizes advanced statistical methods to extract actionable insights from large datasets. Track record of effectively collaborating with cross-functional teams to achieve research objectives.
Overview
5
5
years of professional experience
Work History
Data Science Researcher
University of North Texas
01.2024 - 05.2024
- Designed and implemented a feature engineering pipeline to clean and preprocess large-scale sales data, addressing missing values, outliers, and categorical variables
- Conducted a comprehensive evaluation of machine learning algorithms, including Random Forest, XGBoost, and SVM, to identify the optimal model for sales forecasting
- Deployed the final model using Flask APIs, enabling real-time sales prediction capabilities for diverse retail environments
- Performed in-depth error analysis to identify patterns in mispredictions, iteratively refining model parameters for improved accuracy
- Automated the ingestion and preprocessing of external data sources, such as weather and economic indicators, enhancing the model’s robustness
- Collaborated with inventory management teams to integrate forecasting outputs into operational workflows, improving stock replenishment cycles
- Utilized time-series decomposition techniques to extract and analyze seasonal trends, cyclic behavior, and irregular patterns in sales data
- Applied hyperparameter tuning strategies to optimize model performance, achieving a15% reduction in Mean Squared Error (MSE)
- Created end-to-end data pipelines for efficient handling of structured and unstructured data during the modeling process
- Built visualizations in Tableau and Matplotlib to communicate sales trends, forecast accuracy, and inventory metrics to stakeholders
- Published a detailed technical report documenting the assumptions, methodologies, and results of the forecasting model
- Presented research findings and actionable recommendations to Walmart’s senior leadership team, driving strategic decision-making
- Designed a real-time alert system to notify inventory teams of potential understock or overstock scenarios based on forecast outputs
- Integrated the forecasting model with cloud-based solutions (AWS S3 and RDS) to ensure scalability and accessibility
- Conducted sensitivity analyses to evaluate the impact of key economic indicators on sales performance
- Partnered with academic advisors and Walmart representatives to align research goals with real-world business challenges
- Analyzed historical sales data to identify long-term demand patterns and support strategic planning initiatives
- Leveraged Python libraries such as Pandas, NumPy, and Scikit-learn for data preprocessing, analysis, and model building
- Explored advanced techniques, such as ensemble learning and model stacking, to further enhance prediction accuracy
- Regularly collaborated with peers and professors to exchange feedback and incorporate innovative ideas into the project
Software Engineer
ValueMomentum
05.2021 - 05.2022
- Designed and maintained scalable ETL pipelines for structured and unstructured data processing, improving operational data workflows
- Optimized Oracle database queries by restructuring schemas and implementing advanced indexing techniques, reducing query times by40%
- Integrated Camunda BPM with Spring Boot applications to automate business workflows, increasing efficiency by30%
- Developed REST APIs to streamline communication between front-end and back-end systems, enhancing system reliability
- Conducted end-to-end testing of APIs to ensure seamless integration with workflow processes and client applications
- Built a logging and monitoring system to track API performance and troubleshoot failures in real time
- Designed automated scripts for data migration, ensuring zero data loss during system upgrades and migrations
- Provided actionable insights to clients by analyzing operational data and presenting key performance metrics using Tableau
- Partnered with cross-functional teams, including product managers and QA engineers, to align technical solutions with business goals
- Mentored junior team members on best practices for API development, database optimization, and workflow integration
- Automated deployment pipelines using Jenkins, reducing manual effort and deployment errors by50%
- Created comprehensive technical documentation for APIs, workflows, and database configurations to support future development
- Spearheaded the migration of legacy systems to modern architectures, improving scalability and reducing maintenance costs
Android Engineer
Electronics Corporation of India Limited (ECIL)
04.2019 - 05.2021
- Automated the bus-pass application process by developing a streamlined, user-friendly system, reducing manual intervention by70%
- Conducted a system performance analysis to identify bottlenecks and optimize resource allocation
- Designed custom reports to track application usage, providing valuable insights into user engagement
- Enhanced system reliability by implementing error-handling mechanisms and improving response times
- Supported the development of data integration features, enabling the seamless connection of various subsystems
Education
M.S. - Data Science
University of North Texas
Denton, TX05.2024
Bachelor of Technology - Computer Science Engineering
KL University
India04-2019
Skills
- Languages: Python, Java, SQL, Machine learning, Oracle
- Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
- Database: MySQL, Oracle
- Other Tools: MS Word, Tableau, MS Excel, Camunda
- Development Tools: Eclipse, Springboot, Jupyter Notebook, RapidMiner
- Frameworks: JDK, JRE
- Deep learning techniques
- Clustering algorithms
- Neural networks
- Data visualization
Timeline
Data Science Researcher
University of North Texas
01.2024 - 05.2024
Software Engineer
ValueMomentum
05.2021 - 05.2022
Android Engineer
Electronics Corporation of India Limited (ECIL)
04.2019 - 05.2021
M.S. - Data Science
University of North Texas
Bachelor of Technology - Computer Science Engineering
KL University
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