Machine Learning Business Analyst

DHARANI MANDLA

+1-404-***-**** ad9lcd@r.postjobfree.com GitHub://dharani211 Linkedin: //dharani-mandla EDUCATION

Master of Science (M.S.) in Computer Science August 2024 - Present Georgia State University Atlanta, Georgia

Relevant Courses:Machine Learning, Data Security,Mobile App Development, Data Science Bachelor of Technology (B.Tech.) in Computer Science GPA: 9.12 / 10.0 August 2019 - May 2023 Malla Reddy Engineering College For Women Hyderabad,India Relevant Courses:Advanced Analysis and Design ofAlgorithms, Distributed Systems, Information Retrieval, Cloud Computing, Data Mining, OOPS WORK EXPERIENCE

Dell Technologies 07/2023 - 07/2024

Associate Business Analyst

● Implemented efficient troubleshooting guidelines and engineered 300+tailored data center configurations,preventing escalations by over 99% and factoring in specific customer requirements.

● Facilitated collaboration as a technical consultant within the organization,and provided deep expertiseindataprotectionto deliver tailored solutions and recommendations for Dell Data Protection products and other cybersecurity products.

● Spearheaded a project involving a comprehensive customer-facing visualization tool using Excel and PowerBI resulting in potential millions of dollars of revenue generation from opportunities. Undergraduate Intern 01/2023 - 06/2023

● Trained in DellDataProtection,Backup,ApexCloud,Cybersecurity,andStorageProductsandcertifiedonInformationStorage and Management (ISM) and Data Protection and Management (DPM).

● Utilizing SFDC efficiently by analyzing over 100+ customer’s data every quarter and providing the optimal technical solutions

● Identified vulnerabilities, recommended risk mitigation strategies, and secured full-time position post-internship. Research Center, IIT Patna

ML Research Intern 12/2021- 06/2022

● Conducteddatapreprocessing,analysis,andNaturalLanguageProcessing(NLP)fordiseasediagnosisthatimprovedthesystem efficiency by 40%; developed text-to-speech system for conversational AI using explainable AI.

● Developed a hybrid data set with over 1 Million entries to train the multi-model over different human emotions.

● Authored a research paper on context-aware disease diagnosis utilizing machine learning techniques,withfindingsaimedat addressing the top three misdiagnosis causes in clinical settings, currently under review for publication. Coding Ninjas

Technical Blog Manager Intern 05/2021 - 06/2022

● Contributedtotheblogsandlibrariesthatmadeapproximately80%oftheincrementinsearchengineoptimization.Maintained a team of 15 as Blog Manager.

● Implemented a formatted course for graduate students on respective core subjects that boosted the user reach by 65%. TECHNICAL SKILLS

Programming & DB:Python, C, C++, Java, Javascript,Linux, SQL, HTML5, CSS Frameworks & Tools:Flask, Azure, Bootstrap, Git,AWS, Google Cloud Platform, JIRA, SalesForce, PowerBI, Statistics, PyTorch, TensorFlow, Keras, Tableau, Google Analytics, Hadoop, Spark, Matlab, Agile, SAS Skills:Machine Learning, NLP, Neural Networks, ArtificialIntelligence, Data Visualization, Data Cleaning, Computer Vision PROJECTS

-Individual Business Challenge (Capstone), Dell Technologies(05/2023) Technologies Used:PowerBI,Tableau,Data Analysis Conducted a thorough product demonstration of personalized storage, data protection, and backup systems, showcasing in-depth knowledge and effectively interacting with a customer group. Developed a tailored solution to address critical infrastructure challenges, ensuring optimal alignment with client-specific requirements.

-Geometric DeepLearning for subject-independent epilepticseizure prediction(02/2023) Technologies Used:Random Forest, Neural Networks, Reinforcement learning, HTML, CSS, Flask, Python Developed advanced mathematical and neural network models to extract geometric features from EEG data, leading to improved seizure prediction performance and potential transformation of epilepsy management.

-AI-Powered Chatbot(11/2022) Technologies Used:Natural Language Processing, HTML, CSS, Flask, Python Created an AI-powered chatbot using Python and NLP libraries to assist users in finding information on a specific topic. Integrated with a web interface using Flask, the chatbot processes user queries and provides contextually relevant responses.

-FreeDays(06/2022) Technologies Used:HTML, CSS,JavaScript, PHP Created educational content for FreeDays that informed users about the environmental impact of traditional period products; achieved a 40% increase in website traffic and improved user retention by 25% within six months. LEADERSHIP EXPERIENCES & AWARDS

● Received Dell Inspire Bravo and Applause awards for being the top performer of the quarter. (12/2023)

● Among the top 15% of students to get selected for Amazon Summer Machine Learning (ML) School (07/2022).

● Awarded Harvard WEAmplify’22 (06/2022) scholarship to attend the world’s largest tech conference.

● Bronze Award: Won 3rd prize for fastest fixing 14 bugs at Microsoft Fixathon’22 (04/2022)

● Selected as one of the top 215 students for Google Cloud Computing Foundation Course (08/2021) training by Google.

● Speaker at the first-ever Github conference organized by Microsoft on technology and advancements.

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