🎓 B.E. in Artificial Intelligence & Machine Learning — 2025
💼 Operations & Data Analytics Associate | BASE Educational Services Pvt. Ltd.
📍 Bengaluru, Karnataka, India

Transforming Data into Intelligent Decisions through Analytics, AI & Automation.

I am an Artificial Intelligence & Machine Learning graduate with professional experience across Data Analytics, Business Intelligence, AI Data Quality, Educational Analytics, Reporting Automation, Data Validation, and Process Optimization.

I work with structured and unstructured data to improve data quality, build analytical solutions, develop dashboards, automate reporting workflows, and generate actionable insights for business and operational decision-making.

My technical interests span Python, SQL, Power BI, Advanced Excel, Machine Learning, Data Visualization, AI Evaluation, Generative AI, and Analytics Automation.

I enjoy building practical, business-focused solutions that connect data, technology, automation, and decision-making.

• Developed and maintained academic analytics solutions
• Built Student Performance Analytics dashboards and reports
• Designed structured Question Paper Analysis frameworks
• Performed test-wise and student-wise performance analysis
• Analyzed chapter-level and question-level performance
• Conducted incorrect, unattempted, and weak-area analysis
• Developed ideal-time and time-efficiency analysis for correctly attempted questions
• Automated reporting workflows using Advanced Excel
• Developed interactive Power BI dashboards
• Performed data validation, standardization, reconciliation, and quality assurance
• Supported result communication and reporting automation workflows
• Worked on AI-assisted workflow and reporting automation
• Generated analytical insights to support academic and operational decision-making

• Developed Business Intelligence dashboards and KPI reports
• Built automated NPS monitoring and reporting dashboards
• Tracked NPS promoters, detractors, and overall performance trends
• Prepared daily management-level analytical reports
• Presented analytical insights to management and leadership
• Performed workforce data consolidation and quality validation
• Analyzed attrition and retention patterns
• Conducted cohort, funnel, trend, and flow analysis
• Consolidated large datasets received from multiple enterprise sources
• Performed data cleaning, standardization, reconciliation, and validation
• Analyzed attendance, paid days, continuity, and drop-off patterns
• Developed management-ready reporting structures for operational decision-making

• Performed AI dataset validation and verification
• Conducted data cleaning and preprocessing
• Performed data annotation and quality checks
• Evaluated AI-generated outputs
• Performed prompt testing and validation
• Supported AI evaluation workflows
• Prepared Excel-based quality and validation reports
• Improved dataset consistency and accuracy for AI applications

Python SQL Pandas NumPy Matplotlib Scikit-learn

Power BI Advanced Excel Dashboard Development Data Visualization
KPI Reporting Business Intelligence Management Reporting

Data Cleaning Data Validation Data Profiling Data Reconciliation
Cohort Analysis Funnel Analysis Attrition Analysis Retention Analysis
Trend Analysis Flow Analysis Performance Analytics Operational Analytics

Machine Learning AI Data Quality AI Evaluation Prompt Engineering
Dataset Validation Generative AI LLM Concepts

Reporting Automation Excel Automation Data Processing
Workflow Automation API Integration WhatsApp API Workflows

Git GitHub Jupyter Notebook VS Code Power BI Desktop
Microsoft Excel Streamlit

Power BI | Python | Data Analytics | Business Intelligence | Educational Analytics

Interactive analytics solution designed to analyze student performance, academic trends, question-level insights, and performance indicators.

The project focuses on transforming student assessment data into actionable insights through dashboards, visual analytics, and structured reporting.

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Python | Excel | Power BI | Educational Analytics | Performance Analysis

Analytics framework focused on deep student performance analysis across tests and assessments.

Includes:

• Top-performing student analysis
• Test-wise performance analysis
• Student-wise performance trends
• Chapter-level weakness identification
• Question-level weakness analysis
• Incorrect question analysis
• Unattempted question analysis
• Correct-answer performance analysis
• Ideal-time analysis
• Time-efficiency analysis
• Performance trend reporting
• Visual dashboards and management reports

The framework is designed to identify learning gaps and support data-driven academic improvement.

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Python | Data Validation | Data Quality | Automation | WhatsApp API

Python-based data quality and results automation platform designed to support structured result processing, validation, annotation, reporting, and automated communication workflows.

Key areas include:

• Result data validation
• Data quality checks
• Annotation workflows
• Result processing
• Automated reporting
• API-based communication
• WhatsApp result delivery workflows
• Structured validation pipelines
• Automated test and result processing

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Python | Pandas | Data Analytics | Cohort Analysis | Workforce Analytics

Workforce analytics solution designed to consolidate, clean, standardize, validate, and analyze large-scale operational datasets received from multiple enterprise sources.

Key analytical areas include:

• Enterprise data consolidation
• Data cleaning and standardization
• Data quality validation
• Attendance analysis
• Paid-day analysis
• Attrition analysis
• Retention analysis
• Cohort analysis
• Funnel analysis
• Flow analysis
• Journey continuity analysis
• Drop-off analysis
• Month-wise workforce tracking
• Management reporting

The project transforms complex operational datasets into structured analytical outputs and management-ready funnel and cohort reports.

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Python | Data Analytics | Business Intelligence | NPS Analytics | Dashboard Automation

Automated analytical dashboard solution developed for monitoring daily Net Promoter Score performance.

The solution tracks and presents:

• NPS performance
• Promoters
• Detractors
• Passives
• Daily trends
• Performance distribution
• KPI summaries
• Management-level insights

The dashboard was used as part of the AI Control Tower analytics workflow to support daily reporting and management discussions.

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Python | Streamlit | Data Visualization | PowerPoint Automation

Python and Streamlit-based application for creating data-driven presentations with multiple visualization options, customizable slide layouts, and PowerPoint export functionality.

Features include:

• CSV data upload
• Sample datasets
• Manual data entry
• Line charts
• Bar charts
• Scatter plots
• Histograms
• Box plots
• Correlation heatmaps
• Custom slide layouts
• Two-column presentations
• Image and text layouts
• PowerPoint generation
• Presentation download

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SQL | Database Design | Learning Analytics | Data Analysis

SQL-based learning analytics project designed to manage users, courses, modules, permissions, assignments, and learning progress.

The project demonstrates:

• Relational database design
• Course management
• Module management
• User management
• Permission management
• Assignment tracking
• Progress tracking
• Completion analysis
• Student performance analysis
• SQL-based analytical reporting

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Python | Pandas | Data Visualization | Analytics

Python-based analytics solution for tracking productivity, habits, study activity, mood patterns, and system usage.

The project includes:

• Structured data logging
• Productivity analysis
• Habit tracking
• Study activity analysis
• Mood trend analysis
• Correlation analysis
• Time distribution analysis
• Data visualization
• Analytical dashboard reporting

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Python | Computer Vision | MediaPipe | Gesture Recognition

Computer Vision-based Human-Computer Interaction system that enables touchless computer control using real-time hand gestures captured through a webcam.

The system uses hand landmark detection and gesture recognition to control:

• Cursor movement
• Mouse clicks
• Left/right click actions
• System functions
• Volume controls

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Cloud Computing | Educational Technology | Data Management

Academic project exploring the application of cloud computing technologies within educational environments.

The project focuses on:

• Scalable infrastructure
• Centralized data management
• Accessibility
• Collaboration
• Cloud-enabled education
• Technology-enabled learning

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My project portfolio covers multiple real-world analytics domains:

• Generative AI
• Large Language Models (LLMs)
• Advanced Machine Learning
• Data Engineering
• MLOps
• Cloud Technologies
• AI Automation
• Advanced Business Intelligence
• AI-assisted Analytics
• Intelligent Workflow Automation

I am interested in opportunities involving:

Data Analytics • Business Intelligence • AI/ML • AI Data Quality • Educational Analytics • Data Engineering • Analytics Automation • Generative AI

I am particularly interested in building data-driven systems that improve operational efficiency, data quality, automation, and decision-making.

📧 Email: moneshmuddu@gmail.com

💼 LinkedIn: linkedin.com/in/moneshr

🐙 GitHub: github.com/monesh-r