Machine Learning Power Bi

NIVEDITHA KALVA

LinkedIn ******@****.*** 704-***-**** Charlotte, NC

TECHNICAL SKILLS

● Analytics: Machine Learning, Oracle Analytics Cloud(OAC), Tableau, Power BI, Streamlit, AWS Glue, OpenCV, Scikit-learn, Tensorflow

● Programming Languages: Python, Java, JavaScript, C

● Web Development: HTML5, CSS3, React.js,

● Databases: SQL, AWS S3

EXPERIENCE

Micron Technology, Software Application packaging Engineer Hyderabad, India Apr 2023 - Dec 2023

● Integrated approximately 40 third-party software applications into Micron’s IT ecosystem, ensuring deployment compliance with user requirements, InfoSec protocols, and internal governance standards.

● Packaged and deployed critical tools including Microsoft Office 365 and Adobe Creative Cloud using SCCM and AdminStudio reducing software delivery turnaround time by 30%.

● Collaborated with cross-functional teams to validate configurations, resulting in 98% deployment success rate for production rollouts.

● Technologies: ServiceNow tool, SCCM, SAM, AdminStudio, Powershell Scripting, SQL Micron Technology, Associate Engineer Hyderabad, India Aug 2022 - Apr 2023

● Collaborated with the software asset management team to oversee licensing, renewals, and compliance for more than 100 software applications across departments.

● Managed approximately 1000 software approval requests monthly and generated detailed usage and cost reports to support budgeting and vendor audits.

● Led a license optimization initiative by identifying and revoking inactive licenses of applications like Adobe acrobat, Visual Studio, Tableau, Power BI resulting in cost savings of $4M in a 3 month time period.

● Ensured compliance with internal and external software usage policies, contributing to 100% audit readiness.

● Technologies: ServiceNow tool, SCCM, SAM tool for license management GE Appliances, Digital Technology Intern Hyderabad, India Jan 2022 – Jun 2022

● Migrated over 30 business-critical reports from Oracle Business Intelligence Applications (OBIA) to Oracle Analytics Cloud

(OAC), resulting in a 40% improvement in report performance and dashboard responsiveness.

● Developed predictive models in OAC that improved forecasting accuracy by 25%, enabling data-driven decisions across sales, finance, and supply chain teams.

● Technologies: Machine Learning, SQL, Python

EDUCATION

Master of Science in Computer Science University of North Carolina at Charlotte GPA: 3.7/4 May 2025 Courses: Big Data Algorithms,Artificial Intelligence, Analysis of Algorithms, Data Mining, Database Systems, Visual Analytics, Project management, Computer Networks, Software System Development and Implementation. Bachelor of Engineering in Computer Science Chaitanya Bharathi Institute of Technology GPA: 9.0/10 Aug 2018 - Jun 2022 Courses: Software Engineering, Object-Oriented Programming, Operating Systems, Compiler Design, Web Development PROJECTS

Emotion based music player:

• A web application which works as a music therapy.

• Built a CNN model that uses python EEL library for linking JS to python code. Multiple disease prediction using Machine Learning:

• Built a Machine Learning model that takes symptoms of the user as an input and predicts the disease that matches the symptoms

Video Analysis for weapon detection and Alerting:

• Developed a Machine Learning model that takes video input through web cam or CCTV and checks for a weapon and displays name of the weapon found if any.

• Also, alerts people around as soon as it find a weapon. Visualizing Airline delays:

• Analyzed and Visualized flight delays across US airports and identified the causes, seasonal patterns and high-impact airlines/airports

• Built an interactive dashboard for deeper customization insights using Streamlit CO-CURRICULAR

● Served as a member of the CBIT Open Source Community, CBIT's largest technical club. 2020-2021

● Served as a member of the Student Council at CBIT. 2021-2022

● Organized the Hacktoberfest hackathon and a Web Development workshop for 200+ students. 2020 & 2021

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