Likhith Sri Vatsa Uppada

480-***-**** • ad0kwm@r.postjobfree.com • Luppada (github.com) • LinkedIn - Likhith Uppada EDUCATION

Master of Science, Information Technology; Jan 2022 – Dec 2023 Arizona State University, Tempe, Arizona GPA – 4.0 Bachelor of Technology, Electronics and Communication Engineering; July 2016 – Apr 2020 Vellore Institute of Technology, India GPA – 7.83

Relevant Coursework: Advanced Analytics of Big Data/AI, Data Visualization and Reporting for IT, Advanced Database Management Systems, Data-Driven Decision Making, Data Mining, AI with Python CORE COMPETENCIES

Technical Skills: SQL, Python (Pandas, PySpark, Scikit-learn), Scala, R, Tableau, Power BI, JSON, DBMS (SQL and NoSQL), Project Management, Google Docs Editors, MS Office Suite, Salesforce CERTIFICATIONS

Google Data Analytics Certification Oct 2023

EXPERIENCE

Arizona State University, Tempe, Arizona

Management Intern, Access ASU Jan 2023 – Present

● Performed data engineering tasks on a variety of datasets using Python to collect relevant data while maintaining data security and integrity.

● Used insights from data analysis to recommend enrollment policies that align with department goals.

● Developed a case study for stakeholders, analyzing the changes in the applicant pool for the SCENE program over a three-year period.

● Created reports using Tableau and Excel to display KPIs related to various Access ASU projects using sensitive K-12 student data.

● Performed Extract, Transform and Load (ETL) tasks to integrate data collected from legacy systems with the CRM software, Salesforce.

● Created databases that update automatically to support sustainable data collection and storage practices, ensuring organized records for continuous data influx.

● Planned and successfully executed three summer programs by coordinating staff recruitment, logistics, activities, and resources to host over 100 high school students.

● Design and deliver engaging presentations to empower high school students with essential professional development skills and promote college-readiness and awareness on topics like FAFSA and Me3.

● Employed project management techniques and maintained relationships with diverse teams to create inclusive, engaging and informative programs.

Arizona State University, Tempe, Arizona

Office Assistant, Office of Senior Vice President EOSS May 2022 – Jan 2023

● Provided excellent customer service to students, faculty, staff, and visitors while maintaining a database to track daily activities.

● Performed data collection, data entry, and data cleaning tasks using Google Sheets to evaluate employee performance and manage inventory.

● Identified opportunities for process improvement and implemented streamlined workflows to improve

● Leveraged relevant software applications to enhance productivity and outcomes. Sri Lalithambica Builders, Visakhapatnam, India

Intern May 2019 – Nov 2021

● Contributed to the successful implementation of digital payment methods, effectively streamlining financial operations and reducing manual workload and time spent by 50%.

● Participated in the migration of paper-based billing and banking to fully digital systems.

● Managed and maintained spreadsheets and documents for billing and financial analysis to ensure easier tax filing. PROJECT EXPERIENCE

Google Data Analytics Capstone Project (Coursera) Oct 2023

● Conducted a thorough analysis of a dataset to learn the behavioral similarities between casual members and annual members of a bike share company.

● Performed data exploration and cleaning tasks to study the features of the dataset and move forward to analysis.

● Used statistical analysis and Python programming to detect underlying connections between data points.

● Studied the geographical features of popular ride start stations to detect hotspots.

● Created recommendations based on analysis to improve member retention and increase membership.

● Developed action items to improve data collection techniques to create personalized marketing campaigns. Capstone Project GitHub

Disease Relapse Analysis (Arizona State University) Dec 2022

● Experimented using PySpark and Classification models to develop machine learning models that predict disease relapse based on patient history.

● Conducted Cross-Industry Standard Process for Data Mining tasks to facilitate ETL and statistical analysis for a dataset with over 100,000 rows.

● Designed Machine Learning pipelines for Decision Tree, Logistic Regression, Random Forest classifications and optimized models through Hyper-parameter Tuning.

● Optimized models using confusion matrices and metrics such as sensitivity, specificity, and AUC to identify the best-performing model.

● Created a model that accurately predicts non-relapse of the disease with 80% accuracy. Student Food Habit and Awareness Analysis (Arizona State University) Dec 2022

● Conducted a food habit and awareness analysis of students using Python, Tableau.

● Employed data cleaning and transformation techniques, statistical analysis using Python to perform Exploratory Data Analysis (EDA)

● Develop dashboards from the perspectives of different stakeholders by employing statistical analysis.

● Created dashboards using Tableau were accessible and interactive, and accounted for Color-Vision Deficiencies

(CVD). Health Services Dashboard Tableau Public

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