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Data Science Machine Learning

Location:
Indianapolis, IN
Posted:
April 05, 2024

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Resume:

KAVYA KUTUMBAKA

+1-317-***-**** ad4s0l@r.postjobfree.com linkedin.com/in/kavyak0728 github.com/kavya7628 EDUCATION/SKILLS

PURDUE UNIVERSITY Indianapolis, Indiana, USA

Master’s, Computer Science GPA: 3.5/4 2022 - 2024

● Relevant Coursework:Algorithms and Data Structures,Computer System Security,Data Science,Data CommunicationandComputerNetworks,DataMining,DataVisualization,DatabaseDesign&Security,Intelligent Systems, Mobile Computing, Visual Design for User-Interaction and Interaction Design Practice. JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY Hyderabad, INDIA Bachelor’s, Computer Science GPA: 3.2/4 2017 - 2021

● Relevant Coursework:Machine Learning,JavaScript,Operating Systems,Mobile Computing,C,C++,JAVA, Python,FormalLanguagesandAutomataTheory,CompilerDesign,CryptographyandNetworkSecurity,Software Process and Project Management, Software Development life cycle, Distributed Computing, Web Technologies. RELEVANT EXPERIENCE

G TECHNOLOGIES USA

Data Science Intern Feb 2024 - May 2024

● Proficiently gathered and refined data from diverse sources includingdatabases,APIs,andstructured/unstructured files, demonstrating strong data acquisition skills, analytical testing.

● Conducted comprehensive exploratory data analysis (EDA) resulting in the discovery of 8% more patterns trends.

● Applied Python extensively throughout the data analysis process,utilizing libraries and frameworks for data manipulation, analysis, and visualization, highlighting strong proficiency in Python for data science tasks. TATA CONSULTANCY (TCS) Hyderabad, INDIA

Associate System Engineer Aug 2021 - Aug 2022

● Spearheaded optimization initiatives in Signify’s SAP APO system, utilizing tools for supply chain analysis.

● Conducted end-to-end monitoring toenhancesystemperformance,reliabilitybydemonstratinginterpersonalskills, Organizational skills, Strong ability to learn, supervision and lead analyst activities.

● Collaborated with cross-functional teams to streamline processes, resulting in 15% increase in order accuracy. ACADEMIC PROJECTS

Reinforcement learning using Gaming Sequence Aug 2023 - Dec 2024

● Explored reinforcement learning in dynamic board games through strategic engagement with heuristic and reinforcement learning players for procedural and technical training.

● Utilized machine learning techniques to enhance gameplay and analyze the capabilities of reinforcement learning inmasteringboardgamescenarios.Resultedina25%improvementinwinratesagainstheuristicplayersanda15% increase in adaptive decision-making capabilities compared to baseline metrics. Climate Change Visualization using Python, Deep Learning and D3 Jan 2023 - May 2023

● Developed an interactive climate change visualization platform using Deep Learning and D3.js for dynamic and impactful data representation by Standard Operating Procedure.

● IntegratedAIalgorithmsandD3.jsresultingina17%increaseinengagingandaccessibledatavisualizationplatform for climate change data communication for better visualization and user-experience. Parkinson’s Disease Progression using Python, AI and ML Jan 2021 - May 2021

● EmployedK-NearestNeighbors(KNN)forcomprehensivedataanalysisinaclinicalstudybyleadingagroupof3 aimed at Parkinson’s Disease progression, achieving a 20% increase in accuracy compared to traditional methods. TECHNICAL SKILLS

Languages/Frameworks : Python, R, Java, C#, C++, HTML, CSS, JavaScript, SQL . Tools and Technologies: Tableau, Power BI, AWS, Excel, Git, Visual Studio Code, Salesforce, Microsoft Office Packages. Analysis and Modeling: Statistical Modeling, Machine Learning, Deep Learning, NLP, Optimization. Libraries/Others: Numpy, Pandas, Pytorch, SKlearn, TensorFlow, NodeJS, Kubernetes, Docker, Terraform, Confluence, Teamwork.



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