🎓 Gold Medalist in M.Sc. Computer Science
💼 Applied AI & ML Analyst | Document AI • Machine Learning • Data Analytics
📍 Hyderabad, India | 🌐 Open to Full-Time & Remote Opportunities

I work on applied AI systems involving machine learning, document intelligence, structured output validation, and data-driven analytics. My experience includes AI model evaluation, CVAT-based annotation workflows, predictive modeling, NLP, and interactive analytics applications using Python, Scikit-learn, TensorFlow, SQL, and Power BI.

Currently focused on:

• Document AI & AI Evaluation
• Machine Learning Workflows
• NLP & Predictive Analytics
• Data Visualization & BI
• Streamlit-based AI Applications

Python • SQL • Pandas • NumPy • MySQL

Scikit-learn • XGBoost • Regression • Classification • Clustering • Cross-Validation • Model Evaluation

TensorFlow • Keras • NLTK • TF-IDF • Sentiment Analysis • Text Preprocessing

CVAT • Annotation QA • Structured Output Validation • PDF-to-HTML Validation • Reading-Order Verification • JSON Validation

EDA • Feature Engineering • Statistical Analysis • Power BI • Matplotlib • Seaborn • Excel • Power Query • Streamlit

GitHub • Jupyter Notebook • VS Code • PREP Tool

🔗 Repository: https://github.com/Ayesha24banu/telecom_churn_multimodal_ai

• Developed a multimodal ML pipeline integrating structured CRM data with unstructured customer feedback for churn prediction and sentiment analysis.
• Trained and optimized an XGBoost churn model achieving 96.7% ROC-AUC using feature engineering, cross-validation, and hyperparameter tuning.
• Engineered NLP features including VADER sentiment scores, TF-IDF vectors, and text complexity metrics.
• Built a CNN + BiLSTM + Attention model achieving 88% accuracy for sentiment classification.
• Developed a Streamlit analytics application with integrated Power BI dashboards for prediction workflows and analytical insights.

Tech Stack: Python, XGBoost, TensorFlow/Keras, NLP, SHAP, Streamlit, SQLite, Power BI

🎥 Project Demo Video: Watch Here 📊 Power BI Dashboard Video: Watch Here

📄 Detailed Project Report: Included in repository

🔗 Repository: https://github.com/Ayesha24banu/HR-Analytics-Employee-Promotion-Prediction

• Developed a machine learning pipeline on 50K+ employee records to predict promotion outcomes.
• Optimized an XGBoost model achieving 89% accuracy using class imbalance handling and hyperparameter tuning.
• Applied SHAP explainability techniques to interpret feature importance and support transparent HR decision-making.
• Built a Streamlit application supporting single and batch prediction workflows with visualization support.

Tech Stack: Python, XGBoost, SHAP, Scikit-learn, Streamlit

🎥 Project Video: Watch Here

🔗 Repository: https://github.com/Ayesha24banu/Customer-Purchase-Behaviour-Analysis-in-Retail

• Analyzed 770K+ retail transactions to identify customer purchasing patterns and product associations.
• Applied RFM segmentation and KMeans clustering to identify high-value customer groups.
• Implemented Apriori association rule mining to discover cross-selling opportunities and product affinity patterns.
• Developed interactive Power BI dashboards for customer segmentation and sales analytics.

Tech Stack: Python, Pandas, KMeans, Apriori, Power BI

Dashboard video: Customer Behavior Dashboard Video | 🎥 Project Video: Watch Here

🔗 Repository: https://github.com/Ayesha24banu/Excel-Inventory-Management-Dashboard

• Developed an interactive Excel dashboard for inventory tracking, supplier monitoring, and stock analysis.
• Automated reporting workflows using Power Query and dashboard visualizations.
• Improved inventory monitoring efficiency through KPI-driven reporting and filtering workflows.

Tech Stack: Excel, Power Query, Data Visualization, PivotTables, Charts, Slicers, Reporting

🎥 Dashboard Video: Watch Here

🔗 Repository: https://github.com/Ayesha24banu/Employee-Rewards-and-Reconigtion-system

• Developed a role-based employee rewards and recognition system with authentication and administrative workflows.
• Integrated MySQL database operations and optimized backend query performance.
• Created UML diagrams and technical documentation to support maintainability and system understanding.

Tech Stack: Python, Flask, MySQL, HTML/CSS, JavaScript

🎥Project Video: Watch Here | Certification: CommLab India Project Certificate

• Annotated and validated 10,000+ document pages using CVAT for large-scale Document AI systems.
• Validated AI model predictions and structured outputs against ground truth annotations.
• Performed PDF-to-HTML and JSON validation across 500+ PDFs with reading-order verification.
• Evaluated structured layouts including headings, lists, tables, figures, and document structures using PREP tools.
• Supported accessibility-focused AI systems for visually impaired users through QA analysis and structured validation workflows.

• 🎓 Data Science Training Program – TEKS Academy
• 🧠 AICTE OIB–SIP Data Science Internship Certificate – Oasis Infobyte
• 💼 Scholarship - Data Science Internship Certificate - Infoz IT Solutions
• 🏢 Industry Exposure Program Certificate (IEP) – Infoz IT Solutions
• 🤖 GenAI Powered Data Analytics Job Simulation – Tata Forage
• 📊 Data Visualization: Empowering Business Insights – Tata Forage
• 🐍 Python 101 for Data Science – Cognitive Class (IBM)

• 🌟 Letter of Recommendation (Star Performer) – Oasis Infobyte (AICTE OIB–SIP Internship)
• 🥇 Gold Medal – 1st Rank (M.Sc. Computer Science) – Awarded by Hon’ble Governor of Telangana
• 🏅 Certificate of Merit – Overall Topper in M.Sc.(CS) Program
• 🎖️ Data Science Scholarship Award – Flutter Entertainment x United Way Hyderabad
• 🧩 Academic Project Excellence (Full Stack Project) – CommLab India LLP

M.Sc. Computer Science — Kasturba Gandhi Degree & PG College for Women, Hyderabad (2022–2024)

🥇 Gold Medalist & 1st Rank | Governor of Telangana Awarded

B.Sc. (MPCs) — BMR Degree College, Siddipet (2019–2022)

I’m open to Data Analyst · Data Scientist · ML Engineer roles — full-time or freelance.

Feel free to explore my projects and connect with me below.

💼 LinkedIn
🐙 GitHub
📧 Email

📌 Pinned projects below showcase real-world business problems solved using data, ML, NLP, and BI tools.

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