Dhanasree Rajamani

• Doubled KLA tool analysis speed, saving 45 hours/week by streamlining log processing for 25 different KLA tools.
• Saved over 70% of engineering time spent on tools' insights generation, reducing it from 32 to 10 hours, by building a framework to generate unified datasets through automating data parsing, cleansing, and transformation.
• Improved KLA tool reliability by 10%, thereby minimizing unexpected downtime for customers through automated analysis and prediction of tool failures using specific parameters from the consolidated dataset. [Python, Pandas, SQLite, Pytest]

• Tech lead: Enabled a top European firm to strategically improve market share by leading a project that harnessed EPOS data, executed calculations, and delivered actionable insights for decision-making. [ASP.NET, SQL, SSIS, SSAS, SSRS, Tableau, QlikView]
• Reduced operations cost by 70% for customers by designing a Pharma supply chain inventory management system on the Azure platform. This system processed over 100GB of unstructured raw material data, providing 'Data as a service' and enabling effortless self-service dashboard creation. [Python, SQL, Azure Databricks, Azure Data Factory, PowerBI, Power Apps]
• Saved 6 hours/week of engineering time by eliminating traditional manual processes through the development of an ML/NLP solution that automated data attribution from raw sales data to a structured database for analytics. [C#, ASP.NET, SQL]
• Manager for 2 new grads and trained 20+ new hires on Microsoft SQL Server Integration Services.
• Star Award at Thorogood for improving the market share of a leading client by building a system from ground-up
• Passion Award at Thorogood for landing a Forecast Reliability project 50% before the expected time.

• Boosted developer productivity with a Cognitive tool that analyzes test failure logs, offering solutions for known defects and bugs. This tool, utilized by 200 engineers, provides invaluable troubleshooting assistance. [Python, C++, Shell Script, Watson]

• Built 2 Android apps from scratch to handle Logistics and Sales for a grocery delivery service. [Java, Google Cloud Endpoints]
• The high spot of this internship was thriving in a startup culture which was all about learning new technologies and building apps rapidly along with many nights of sleepless fun

Developed a system to optimize the end-to-end recruitment pipeline, tailored to aid recruiters and sourcers. Automated key stages, including resume screening, candidate shortlisting, and interview scheduling, all while maintaining role-based access controls to uphold data security and privacy.

• Python
• MySQL
• Amazon S3
• HTML
• CSS
• Javascript
• Okta

Improved crop selection for optimal yield by developing a web application that employs a decision tree model to analyze various environmental factors.

• Python
• AutoViML
• Pycaret

Streamlined the shopping experience by creating an application that facilitates product identification and location in grocery store aisles. Fine-tuned the YOLOv7 model with a custom grocery dataset, labeled using Roboflow and developed a Flask application to aid real-time object detection by allowing users to upload images and videos.

• Python
• YOLO

Designed a model to analyze existing data and predict the price of insurance premiums for a potential customer based on their health and other personal attributes. Uses the Random Forest Regression algorithm.

• Python
• Featurewiz
• Pycaret

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