Business Intelligence Project Management

Reddy Pallavi Potthuri

Jersey city, NJ ********************@*****.*** 551-***-**** www.linkedin.com/in/reddypallavipotthuri/ EDUCATION

Master of Science in Business Intelligence & Analytics, Stevens Institute of Technology, Hoboken Sep 2022- May2024 Courses: Data Analytics & Machine Learning, Social Network Analysis, Data Management, Financial Decision making, Experimental Design, Project management fundamentals, Marketing Analytics, Management of AI. Bachelor of Business Administration, Osmania University, Hyderabad, India Jul 2018-Nov 2021 Courses: Business Analytics, Business Economics, Financial Accounting and Management, Business Statistics, Risk Analysis and Management, Logistics Management, Marketing Research. SKILLS

Software & Tools: Microsoft Suite, Tableau, Microsoft Power BI, Erwin, Gephi, SQL, Python, R, SAS, Signavio Hard Skills: Exploratory Data Analysis, Data warehousing, Project Management, Business Process mapping Certifications: Google Business Intelligence Professional, AWS Cloud Practitioner, SQL, Google Data Analytics Techniques: Data Visualization, Business Analysis, Agile Methodologies, Data mining WORK EXPERIENCE

Graduate Student Assistant - Stevens Institute of Technology; Hoboken, NJ, United States Sep 2023-Dec 2023

• Implemented Microsoft Excel to analyze and present complex datasets, including tasks like data cleaning, intricate calculations with formulas, and creating dynamic visualizations to interpret project results.

• Executed data cleansing, employing formulas for intricate computations, and crafting charts and tables to elucidate project findings.

• Engaged in an alumni portal construction project, involving the creation of tables and data extraction from a data warehouse.

Elbow Curve Private Limited - Business Analyst, Hyderabad, India Feb 2020-Jul 2022

• Analyzed seller data from e-commerce platforms to assess performance, sales trends, and customer behavior for optimizing Melody Arc's chatbot services and formulate data-driven strategies.

• Applied advanced Excel formulas and functions for data cleaning tasks, ensuring data accuracy and integrity before analysis.

• Created interactive Power BI dashboards showcasing key performance indicators (KPIs) including sales volume, customer satisfaction ratings, and chatbot usage statistics to drive informed decision-making for Melody Arc and clients.

• Leveraged Power BI to create visually compelling charts, graphs, and other data visualizations, effectively communicating insights to stakeholders.

• Generated regular reports for Melody Arc's internal stakeholders, providing insights into chatbot performance, seller feedback.

ACADEMIC PROJECTS

Intent Analysis of Online shopper purchasing Python, Machine Learning Algorithms

• Implemented modeling techniques such as KNN models with varying K values and a decision tree model to predict purchase intentions.

• Applied CRISP-DM methodology throughout the data mining Process.

• Achieved a notable accuracy rate of 90% with the decision tree model, outperforming KNN models.

• Evaluation highlighted the model's high prediction accuracy in determining factors influencing online shoppers.

• Deployment involved using 70% of the data to develop the model and comparing predicted results with actual results. Spotify Data analysis and visualization Power BI, Python

• Created an insightful Power BI report on the most streamed Spotify songs of 2023, showcasing expertise in data visualization and analysis.

• Applied Pandas library in python and Spotify Web API to add image URLs of the song or album cover.

• Conceptualized visually striking Glassmorphism backgrounds and engaging graphics using PowerPoint. Analysis of Flight Delays in the Aviation Industry

• Conducted exploratory data analysis on reasons behind flight delays, utilizing Python with Pandas, NumPy.

• Analyzed datasets of flight delays across different states in the US, drawing insights for airlines improvements.

• Applied linear regression models using scikit-learn, achieved 89% prediction accuracy for non-delayed flights.

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