Expertise

Machine Learning Engineering

Expertise in building and deploying end-to-end machine learning pipelines, deep learning models, and advanced model evaluation techniques.

PythonScikit-learnTensorFlowPyTorchLightGBM

Data Science & Analytics

Skilled in data analysis, transforming raw datasets into actionable business insights, and creating interactive data visualizations.

PythonSQLPandasNumPyTableau

Recommendation Systems

Specialized in designing and implementing hybrid Learning-to-Rank recommendation systems for personalized user experiences.

Recommendation SystemsLearning-to-RankLightGBMPersonalizationSQLAlchemy

AI Fundamentals & NLP/LLM

Strong foundational knowledge in AI, including NLP, LLM fundamentals, Computer Vision, and complete AI workflow management.

NLPLLM FundamentalsComputer VisionAI WorkflowTransformers

Projects

Community Recommendation System – Graduation Project

Community Recommendation System – Graduation Project

Achieved 96.5% HitRate@5 and 0.5665 NDCG@5, demonstrating strong personalization and ranking quality.

Designed a hybrid Learning-to-Rank recommendation system for personalized community suggestions on the Mentora platform. Engineered behavioral, social, and mentorship-based features; built candidate generation and LightGBM LambdaRank ranking pipelines.

HR Analytics – Employee Attrition Prediction

HR Analytics – Employee Attrition Prediction

Achieved 82% classification accuracy (LightGBM) and 84% regression accuracy (Gradient Boosting).

Built an end-to-end ML pipeline with feature engineering and EDA. Designed an interactive Tableau dashboard to visualize HR insights and key attrition drivers.

Network Anomaly Detection – Neural Network

Network Anomaly Detection – Neural Network

Achieved 98% accuracy (Random Forest) and 94.5% (Neural Networks).

Developed an anomaly detection system classifying network traffic as normal/malicious. Performed preprocessing, EDA (heatmaps, boxplots, histograms), and exported deployment-ready models via Pickle.

Timeline

2026

Completed hands-on training in NLP, Computer Vision, ML, and Deep Learning using IBM Watson.

2025

Studied AI/ML/DL fundamentals, CNNs, RNNs, Transformers, and foundation model architectures through Huawei HCIA AI.

2025

Transformed raw datasets into actionable business insights and built interactive dashboards as a Data Analysis Intern.

2026

Designed and implemented a hybrid Learning-to-Rank recommendation system, achieving 96.5% HitRate@5.

2024

Completed the Google Data Analysis program, gaining proficiency in Excel, SQL, Python, Tableau, and Power BI.