Data Analyst Analysis

TRUPTI GEDAM

New Jersey, USA • ********@*****.*** • 201-***-**** • linkedin.com/in/trupti-gedam-9b389554 Experienced Software Research Analyst at Intel, Python-based software development with experience in data collection, analysis, and management and data efficiency improvements. At Intel, I developed and maintained software applications, ensuring high performance and scalability, and collaborated with cross functional teams to resolve technical issues. Familiarity with systems analysis methods and techniques. At Intel, I worked Resolution Enhancement Technology

(RET) for nanoscale process technologies, including data analysis, simulation modeling, and creation of software applications for high-resolution wafer patterning. Created a Python-based Proof of Concept (POC) and generated a tool for cycle time extraction for various projects, aiding model calibration, recipe optimization, and code validation Proven record in academic roles as a Lecturer and Assistant Professor in the Computer Science branch, where I demonstrated Proficiency in data analysis and transformation techniques. Transform large structured and unstructured data sets into actionable insights, communicate effectively across multiple stakeholders, delivering insights that align with strategic goals. Work collaboratively with a global team of researchers, engineers, data scientists, and sales professionals.

SKILLS

Tech Skills: Python Programming, SQL, python library - matplotlib, plotly Visualization, Jupyter Notebook, GIT, Gitlab, GitHub, Data Wrangling, Analytical thinking, Problem solving, Troubleshooting, Data Collection and Analysis, Stakeholder Collaboration, Team collaboration, Excellent communication skills, Microsoft Office365, Microsoft Excel, Strong teamwork skills, Data Quality Reviews, Technology and Software Proficiency, Critical thinking and decision-making capabilities, Attention to Detail, Eagerness to Learn, Technology Consultation, Outreach & Training, MS Word, Excel, PowerPoint, and knowledge with Adobe Acrobat., software development, program modification, code review, project Management, Requirement Gathering, Data Quality and Governance. WORK EXPERIENCE

Intel Corporation, Software Research Engineer/Scientist Oct 2022 - Nov 2024, New Jersey, USA Directed the development of a Python-based solution, enhancing chip manufacturing efficiency through tailored application to specific process requirements. Utilized Python GitLab API for data extraction, Pandas for data wrangling, and matplotlib for plotting, estimated a 25% reduction in data processing time. Written POC, a Python-based automation script for parsing and validation of input yaml files, proposing the accuracy of chip design attributes by 40% against expected standards. Collaborated with cross-functional business unit executives to communicate requirements, status updates, and escalate issues, resulting in a 20% increase in project alignment. Conducted data quality reviews to identify gaps in the workflow, leading to a 15% improvement in overall data integrity. Identified issues and provided actionable recommendations for improvement, contributing to a 10% increase in operational efficiency. I worked on Resolution Enhancement Technology (RET) for nanoscale process technologies, including data analysis, simulation modeling, and the creation of software applications for high-resolution wafer patterning. Created a Python-based Proof of Concept (POC) and generated a tool for cycle time extraction for various projects, aiding in model calibration, recipe optimization, and code validation. Skilled in optical proximity correction (OPC) simulations, image processing, and statistical analysis of data for OPC models.

RMD Sinhgad College of Engineering, Assistant Professor Jun 2014 - May 2015, Pune, India Enhanced student learning in Advanced Computer Architecture, Operating Systems, and Computer Organization by developing compelling educational content, resulting in an increase in class average scores. Leveraged Microsoft Excel for comprehensive analysis of student data, identifying critical learning patterns and insights that directly contributed to a 20% improvement in educational outcomes. Pioneered the use of data visualization techniques, including pivot tables and histograms, to monitor and present student performance trends throughout the academic year, driving targeted instructional enhancements and fostering a data-driven educational environment.

Indira College of Engineering & Management, Lecturer, Computer Science Jan 2013 - Sep 2013, Pune, India Organized a faculty development program on 'Agile Networking', resulting in an increase in faculty engagement and knowledge exchange. Showed students to enhance career readiness through the integration of advanced computer education seminars and workshops, leading to progressive increase in students. educational development. Fostered a collaborative and engaging learning environment for final year Computer Science and Engineering students. Participated in seminars and workshops to stay abreast of the latest advances in computer education, contributing to a 15% enhancement in teaching methodologies and professional development.

College of Military Engineering, Computer Instructor Nov 2012 - Jan 2013, Pune, India Spearheaded a computer literacy program for defense personnel, enhancing operational efficiency through the effective use of Microsoft Office and computing tools for military personnel.

Kavikulguru Institute of Technology & Science (KITS), Lecturer, Computer Science Nov 2008 - Oct 2011, Ramtek, India Developed and presented comprehensive lectures on Computer System Security, Core Java Programming, Computer Architecture & Organization, Operating System, and Web Technology, resulting in an increase in student engagement and understanding as measured by course evaluations. Created pivot tables to determine average scores by term and subject, and generated histograms for frequency of scores by class, enhancing data analysis efficiency. Led the annual IT Forum in KITS, coordinated RTM University practical exams, participated as an examination committee member, served as class teacher and project guide, and managed the Inaugural and Valedictory committee for the National Conference RICIP-2010, improving event attendance. EDUCATION

Master

Rajiv Gandhi Proudyogiki Vishwavidyalaya, Computer Science and Engineering Bachelor

KDK College of Engineering, Information Technology CERTIFICATIONS

Google Data Analytics Certification by Coursera

Google IT Support Professional Certification by Coursera Python Essential Training by LinkedIn

PUBLICATIONS

“Traffic Information Propagation through Intercommunication between Cars using VANET System” International Conference IRNET-2012 Vehicular Ad-hoc Network (VANET) is basically used to provide various services to its user. Misbehavior of such a system should be defended. VANET system provides intercommunication between vehicles by letting them exchange traffic information. Such kinds of exchanges may create privacy apprehension since the vehicle-generated information can contain much confidential data of the vehicle and its driver. Vehicular networks pose several unique challenges. The traffic information flowing in the network may affect traffic decisions. Raceview is a mechanism that can be routed with a vehicle as the future aspect. The vehicles which have Trafficview device installed will broadcast the traffic information using short range wireless communication. This paper reviews the TrafficView prototype and its approach and shows the experiment result of traffic management considering speed and distance factors in mind. The importance of broadcasting traffic information in a vehicle-to-vehicle fashion is scalability and ease of utilization. PROJECTS

Google Data Analytics Capstone: Complete Case Study Sep 2022 In this capstone project for the Google Data Analytics Course, I conducted an in-depth analysis of a fitness app's live data to identify inefficiencies. Using R, I cleaned and processed the data to ensure accuracy and consistency. I then used Google Spreadsheets to organize the data, creating pivot tables and charts to visualize key metrics. Additionally, I employed Tableau to build interactive dashboards that highlighted trends and areas needing improvement. Based on these findings, I developed actionable recommendations to enhance the app's performance and user experience. By presenting these insights to stakeholders, I played a crucial role in upgrading the app and providing a better product for its users.