Power Bi Project Management

Divyanshi Mishra

**********@***.*** • linkedin.com/in/divyanshiimishra • 469-***-**** • Dallas, TX

Detail-oriented Information Engineering and Management student with over two years of experience in data analytics and operational reporting. Skilled in SQL, Tableau, Power BI, Python, and R, with expertise in Project Management, predictive modeling, and dashboard design. Focused on optimizing performance through data-driven strategies. EDUCATION Southern Methodist University Dallas, TX Bobby B. Lyle School of Engineering Aug 2023 - May 2025 MS Information Engineering and Management

Renaissance Institute of Commerce and Management Indore, IN BA Hons. Journalism and Mass Communication Sep 2020 - April 2023 TECHNICAL SKILLS

Programming Languages: SQL, Python, R, MATLAB, GAMS Data Visualization & BI Tools: Tableau, Power BI, Advanced Excel Database & ETL Tools: SQL Server, SAP, ETL Tools

Statistical & Analytical Skills: User Segmentation, Behavioral Analytics, A/B Testing, Forecasting, Predictive Modeling Project Management & Methodologies: Agile, Scrum, Six Sigma, Lean, Microsoft Project, Project Libre Other Tools & Platforms: Google Suite, Microsoft Suite, Google Analytics, Pendo StarRez and Ccure CERTIFICATIONS SQL: University of Michigan, Tableau: University of California, Power BI: Microsoft, Pendo for Product Analytics Discovery: LinkedIn, Capital Market Operations: NSE of India, Equity & Derivatives Market: Fintop Securities and Finance EXPERIENCE

Copper Turtle Electro Industries - Indore, India June 2022 - May 2023 Data Analyst Intern

• Reduced processing time by 25% by optimizing end-to-end data processing workflows using SQL and Python for large, diverse datasets, aligning outputs with key performance management goals. Integrated Smartsheet to enhance workflow efficiency.

• Analyzed software usage and user behavior by integrating data from 10+ sources into interactive dashboards using Tableau and Power BI, providing real-time insights that optimized SaaS/PaaS usage, feature engagement, and retention.

• Improved forecast accuracy by 15% through predictive analytics and A/B testing, providing insights that informed strategic business decisions and supported go-to-market (GTM) strategies for new product launches.

• Performed data cleansing and data blending from disparate data sources, ensuring accuracy, consistency, and scalability in operational reports, which supported better data-driven decision-making and strategic planning. Veda Group - Indore, India Dec 2020 - May 2022

Business Intelligence Intern

• Led user segmentation and behavioral analysis across 8+ end-to-end data analysis projects using Google Analytics, SQL, Power BI, and Excel, generating insights that improved decision-making accuracy across departments and supported go-to-market

(GTM) strategies for three new business initiatives.

• Utilized Google Analytics to track user behavior and engagement metrics, optimizing marketing campaigns and improving website traffic by 20% through data-driven SEO and content strategies.

• Developed regression models and demand forecasts using R, aligning analytical insights with Key Performance Indicators

(KPIs) to support resource planning, enhance inventory management for 5 product lines, and improve sales forecasting.

• Streamlined workflow processes, reducing project delivery timelines by 10 days, enhancing cross-functional collaboration, optimizing CRM data integration, and improving operational efficiency across strategic units. RESEARCH AND ACADEMIC PROJECTS

Spaceship Titanic Data Classification - [R] Aug 2024 - Dec 2024

• Built predictive models for classification using K-Nearest Neighbors, Naive Bayes, Perceptron, and SVM algorithms to classify high-dimensional data, achieving a maximum accuracy of 80.2% with SVM.

• Engineered features by splitting and normalizing dataset attributes, enhancing model performance by 15%.

• Conducted hyperparameter tuning and cross-validation to enhance model robustness and prediction accuracy. University Information Schemes (UIS) - [SQL, ETL Tools] Jan 2024 - May 2024

• Created and normalized a UIS database using SQL, optimizing resource management and data integration across 8 modules, leading to a 25% boost in operational efficiency. Utilized Salesforce for streamlined data tracking reporting.

• Designed 10+ database tables with complex relationships, applying normalization techniques to reduce data redundancy by 30% and enhance scalability. Utilized Business Intelligence to present insights effectively, strengthening communication skills with cross-functional teams. Optimization Production - Electronics Factory - [GAMS, MATLAB] Jan 2024 - May 2024

• Designed and implemented a linear programming model using GAMS and MATLAB to optimize production schedules.

• Enhanced machine utilization by 20% while ensuring compliance with operational constraints.

Contact this candidate