Rishi Yalamanchili
Dallas
Summary
Marketing data analyst with extensive experience at Vallourec, specializing in workflow transformation and data-driven decision-making. Expertise in Python and automation enables delivery of impactful insights through data visualization and collaboration. Proven ability to drive strategic initiatives and enhance operational efficiency. Committed to leveraging technology for innovative solutions.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Marketing Data Analytics Intern
Vallourec
Houston
05.2025 - 12.2025
- Reduced manual company research time by over 90%, converting a static data-gathering workflow into a scalable, modular automation system supporting long-term forecasting and data ingestion by developing an end-to-end geothermal market intelligence pipeline without prior industry knowledge or direct mentorship.
- Built a custom automation framework with Selenium and YAML-based configuration, enabling the system to autonomously query Microsoft Copilot agents, extract structured JSON responses, and update Excel-based datasets in real time.
- Integrated into Marketing Team’s daily activities due to exemplary recognition from superiors regarding Geothermal Tool. Trained to assist with creation and maintenance of existing data retrieval Python scripts, equivalence datasets, and various PowerBI dashboards.
- Enabled Sales team to use operator level metrics to make data-driven decisions when conducting business with customers.
Technology Intern
Page Solutions
Dallas
03.2024 - 08.2024
- Improved accuracy of an internal project estimation tool by 15% by reverse engineering a static workflow into an end-to-end data pipeline using Python libraries like BeautifulSoup and Selenium which led to boosted user satisfaction.
- Further enhanced product performance by optimizing SQL databases and cross-functional collaboration, improving report delivery speed by 10% and enabling better internal planning.
- Delivered custom Tableau dashboards that visualized user trends and feature effectiveness, driving strategic decisions around product roadmap adjustments.
Education
Bachelor of Science - Information Technology and Systems
The University of Texas at Dallas
05.2025
Skills
- Python programming
- Data analysis and visualization
- Project management methodologies
- Machine learning with Scikit-learn
- Data manipulation with Pandas
- Graphing with Matplotlib
- Geospatial analysis with Geopandas
- Web scraping with Beautiful Soup
- Automation with Selenium
- GUI development with Tkinter
- Configuration management with YAML
- Executable packaging with Pyinstaller
- Business intelligence with Tableau
- Data visualization with Power BI
- Workflow automation with KNIME
- Microsoft Excel proficiency
- Agile project management
- Market research and intelligence
- Cloud fundamentals (AWS)
- Container orchestration (Kubernetes)
- LLM tooling expertise (ChatGPT, Claude, Copilot)
Certification
- Product Management Program at Stanford Online, https://digitalcredential.stanford.edu/check/9FA406B54812E97F6D81C66DB2E18C7D6E514B9EAD63DA2A0181D132870CC31DM25kRnFtdGpSTU9OcGhnRkk5Yitqd1NTN285dUR4SXNjY2hxbnFENldFeVVZSEVE
- Stanford Online Machine Learning Course, https://www.coursera.org/account/accomplishments/verify/9JRY3ZHGDR77?utm_source=email&utm_medium=certificate&utm_content=cert_image&utm_campaign=sharing_cta&utm_product=course
- The Complete Oracle SQL Course, https://www.udemy.com/certificate/UC-ebe6a4a7-5487-4f70-b1b0-d6fd3c36b5fb/
- Python Institute: Proficiency in Python Certification, https://www.credly.com/badges/22d4f3db-668b-4407-bded-5cbd4eab8ad1/public_url
- Tableau Data Analyst Certification, https://www.credly.com/badges/7bdad434-208e-43de-91e4-00b648fa7c51/public_url
Projects
AI/ML Prediction – Facility Management Solution (Honorary Mention at HackSMU), Dallas, TX, 09/23, Reduced potential downtime and enabled predictive decision making by leading a machine learning initiative to forecast a commercial building’s asset maintenance needs using KNIME. Re-engineered the project from scratch in Python to improve model interpretability, leveraging libraries like Scikit-learn and Matplotlib; integrated multiple ML models including Decision Trees and Random Forests. Presented insights and model outputs in a stakeholder-ready format, aligning technical performance with practical utility in facilities operations— an early step in building intelligent, autonomous decision-support tools.
Timeline
Marketing Data Analytics Intern
Vallourec
05.2025 - 12.2025
Technology Intern
Page Solutions
03.2024 - 08.2024
Bachelor of Science - Information Technology and Systems
The University of Texas at Dallas