Anya Jasthi Email & Phone Number

Santa Clara, California, United States

Santa Clara, California, United States

Skills: Gradio, OpenAI GPT, Anthropic Claude, AWS Bedrock, Microsoft Azure, Python

Pittsburgh, Pennsylvania, United States

Pittsburgh, Pennsylvania, United States

Skills: Large Language Models, Natural Language Processing, Prompt Engineering, Parallel Programming

Pittsburgh, Pennsylvania, United States

Teaching Assistant for 18663 - Data Analytics for the Semiconductor Industry▪ Developed solutions for two projects centered on the implementation and evaluation of machine learning models, including XGBoost, Linear Regression, Gradient Boosting, and Decision Trees, specifically tailored for assessing Fault Detection and Classification (FDC) and Critical Dimension data.▪ Conducted in-depth analysis of extensive datasets sourced from Intel during the second project, employing root cause analysis techniques with a primary focus on the most critical failing bin. Delved into granular levels of tool and Statistical Process Control (SPC) data to visualize the temporal change in tool performance.▪ Facilitated a hands-on learning environment for students, guiding them through practical project work that not only enhanced their comprehension of data analytics within the semiconductor industry but also empowered them to proficiently apply machine learning methodologies to real-world scenarios.

Santa Clara, California, United States

Skills: Semiconductor Data Analytics, Python, Exensio, AWS Cloud▪ Leveraged Virtual IDM and client data to harness the Exensio Analytics Platform, employing machine learning techniques to analyze diverse datasets, including FDC, WEH, SPC, PCM, and Wafer Sort, ultimately enhancing yield analysis for semiconductor products.▪ Conducted in-depth data analytics on client datasets, pinpointing groups and processes responsible for Classbin fail, with a focus on drilling down to identify specific tools contributing to failures during a specified timeframe within the process.▪ Applied advanced data visualization techniques, such as wafer maps, to discern pass/fail patterns. Simultaneously, developed and executed data engineering strategies to address sparse data, resulting in more precise parameter impact assessments and root cause analyses.▪ Designed templates on the Exensio platform and conducted quality inspections on the cloud server to quantify the efficiency and speed of templates.

Pittsburgh, Pennsylvania, United States

Teaching Assistant for 18202 - Mathematical Foundations of Electrical Engineering▪ Provided academic support to students by conducting regular office hours, offering guidance, and addressing their questions and concerns.▪ Formulated solutions to homework assignments, and delivered constructive feedback while grading.▪ Effectively collaborated with fellow teaching assistants and instructors to develop well-crafted exam questions and assessments.

Skills: Machine Learning, scikit-learn, Data Visualization▪ Assessed models using XGBoost classifier, PassiveAggressive classifier and recurrent neural network like LSTM. ▪ Explored the use of Thompson Sampling and integration of Dialogflow for chatbots.▪ Learned about exploratory data analysis and data visualization with Tableau.

Hyderabad, Telangana, India

Skills: Statistics, Data Analytics, Data Visualization, Python▪ Researched and documented the causes, recent advancements and solutions for Model Decay such as ensemble learning, online learning, double linear regression.▪ Reduced the complexity of analyzing big datasets by extracting and visualizing the data received from industries and developing reports using Python packages.▪ Quantified and visualized the data by representing similarities between different distributions of features using divergence methods and tests.

Master Of Science - Ms, Electrical And Computer Engineering

Bachelor Of Technology - Btech, Electronics And Communication Engineering, First Class With Distinction