Data Analysis Analyst

SINDHU NAGESHA

Milpitas, CA, USA +1-669-***-**** **************@*****.*** https://www.linkedin.com/in/sindhu-n-b7948516b/ TECHNICAL SKILLS

Python, SQL, Postgresql, MongoDB, Hive, Hadoop, Big Query, HTML5, CSS3, Bootstrap, Django, Data Analysis, Azure, GCP and AWS cloud, Data Visualization (Tableau, Power BI, Looker), Statistical Analysis (Python, JMP), NLP, LLM, Data warehouse Management, Excel Proficiency (Advanced functions, PivotTables), Data Cleaning and Preprocessing, Strong Problem-Solving Skills, GitHub

EXPERIENCE

Mattson Technology, California, USA Jun 2024 – Present Data Analyst

● Developed predictive models by analyzing critical plasma process parameters and correlating wafer etch maps with sensor data, enhancing tool-to-tool matching and process optimization

● Automated data extraction and reporting workflows, standardizing sensor data analysis and improving efficiency about 7% in monitoring etch results

● Utilized the Lagrangian method to ensure precise data analysis and publish computerized reports built a robust Power BI dashboard to visualize H2H matching

● Improved position accuracy and motion profile for robotic arm assembly by analyzing and comparing standard wafer- handling robot assembly with new designs to match with accuracy of 96% to the original robot profile

● Designed and implemented an application to extract statistical data and specific plasma step parameters from tool software for each wafer run, enabling detailed process analysis

● Developed a baseline model with 98% match to customer standard and established a guard band to ensure consistency and reliability in marathon testing

Accenture, Bengaluru, India (Full-Time)Dec 2022 – Jul 2023 Data Engineering Associate

● Administered in-depth data analysis on Networking data for T Mobile, resulting in a 16% increase in quality of Internet coverage for customers

● Managed data pipelines to enhance performance evaluation and network optimization. Collaborated with cross-functional teams to identify KPIs and metrics, contributing to the optimize data redundancy elimination strategies

Pantech E-Learning in association with IEEE, Chennai, India Aug 2021 – Sep 2021 Artificial Intelligence Intern

● Created a Python-based chatbot using NLP libraries, integrating human-like conversational AI for a startup EDUCATION

San Jose State University, California, USA Aug 2023 – Present Master of Science in Data Analytics

Related Courses: Data Visualization, Data Mining, Mathematical Methods for Data Analytics, Database Systems for Analytics, Deep Learning, and ML Technologies

Dr. Ambedkar Institute of Technology, Banglore, India Aug 2018 – Jul 2022 Bachelor of Technology in Computer Science and Engineering Related Courses: Big Data, Data Structures, DBMS, Operating System, Object Oriented Programming. Research & Publication: Executed research on the real-time dataset and Received IEEE paper publication acceptance on a research paper in the year 2022 on “Prediction of Knee - Replacement using Deep-Learning Approach” PROJECTS

Wafer and PCB defect Prediction and Classification (Python, AWS S3, Power BI) Aug 2024 – Dec 2024

● Developed a GUI using tkinter which displays classification on Wafer and PCB defect

● Experienced in mapping the data point to Wafer layout and transforming to defect detecting, annotation of PCB defect type

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