Business Intelligence Machine Learning

RAJASHEKAR MARRI

*****************@*****.*** +1-551-***-****

EDUCATION

Stevens Institute of Technology, School of Business December 2024 MS in Business & Analytics (Major: Data Analytics) Hoboken, NJ CGPA: 3.5/4

VNR Vignana Jyothi Institute of Engineering and Technology August 2022 Bachelor of Technology in Electronics and Instrumentation Engineering Hyderabad, India CGPA:7.8/10

SKILLS

Programming: Python, SQL, C-Programming

Visualization tools: Power BI, Microsoft Excel

Technical Skills: Data Optimization, Project Management, Data Analysis Relevant Courses: Financial Decision Making, Data Analytics & Machine Learning, Multivariate Data Analysis, Optimization & Process Analytics, Data Management

ACADEMIC PROJECTS

AI-Powered Virtual Educational Tutor – EduBot (Jan 2024)

• Developed an interactive learning platform using Streamlit, LangChain, and Google Generative AI (Gemini Pro) for personalized tutoring from user-uploaded PDFs.

• Implemented NLP-based Q&A, summarization, and auto-generated quizzes with scoring, feedback, and Wikipedia-backed explanations using FAISS for efficient document search.

• Enabled dynamic assessments with both objective and descriptive grading, enhancing accessibility to academic support for students and educators.

Business Intelligence & Data Integration Project – Booking.com (Dec 2023)

• Designed a star schema data warehouse using SQL and dimensional modeling to support analytics on customer and host activities.

• Analyzed hotel industry data (from Kaggle) using Power BI to create dashboards and perform cube operations for pricing and service trend insights.

• Mapped business events using Bus & Opportunity Matrices, and delivered strategic recommendations for post-COVID recovery planning

Bidirectional EV to EV Charging System (May 2022)

• Objective: Developed real-time system model for innovative power sharing among electric vehicles, revolutionizing conventional charging methods.

• Demonstrated app and hardware integration featuring ESP32, power relays, and QR authentication for innovative power sharing.

• Utilized Voltage Sensing Module, Current Sensing Module, and Temperature Sensor for enhanced functionality. CERTIFICATIONS

Certificate of Internship for completion of the 4-week Internship in Artificial Intelligence, Machine Learning & Industrial Internet of Things, jointly organized by National Instruments (NI) and Cognibot. (June 2020)

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