**Humayoun Akhtar**
humayounakhtar.h@gmail.com
03014734293
Lahore, Pakistan

**LinkedIn:** linkedin.com/in/humayounakhtar
**GitHub:** github.com/HumayounAkhtar
**Website:** https://humayounakhtar.site

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### **EXPERIENCE SUMMARY**
Data Scientist with expertise in statistical modeling, machine learning, and Gen AI. Skilled in Python, SQL, Gen AI models, RAG, AI Agents, Langchain, and LLM models. Eager to contribute to data-driven projects by translating technical insights into clear recommendations.

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### **PROFESSIONAL EXPERIENCE**

**AI/ML Trainee** | Samsung Innovation Campus
*10/2024 – 12/2024 | Lahore, Pakistan*
- Developed machine learning models using Python and built an AI-powered chatbot using LLMs and NLP.
- Gained proficiency in Python, data science, machine learning, Gen AI, RAG, AI Agents, Langchain, and LLMs.
- Collaborated with teams and communicated technical concepts to non-technical stakeholders.

**AI/ML Trainee** | Corvit Networks
*07/2024 – 10/2024 | Lahore, Pakistan*
- Gained foundational expertise in data analysis, data science, machine learning, deep learning, and Gen AI.
- Developed skills in data analysis, visualization, and analytics to extract insights from data.
- Implemented data visualizations, built interactive tools, trained models, and deployed applications.

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### **PROJECTS**

**Coffee Shop Customer Service Chatbot | Gen AI | Python**
*2024*
- Developed an AI-powered chatbot for a coffee shop app using LLMs and NLP.
- Implemented an agent system for order-taking and personalized recommendations using a RAG system.
- Built a recommendation engine using market basket analysis and integrated the chatbot into a React Native app.
*Technologies:* Python, React Native, LLMs, NLP, RAG, RunPod, Market Basket Analysis, Firebase.

**Heart Disease Prediction Using Machine Learning | Python**
*2024*
- Built a model for heart disease risk using demographic and clinical data.
- Conducted data analysis, including biomarkers and medical history.
- Developed machine learning algorithms to stratify risk categories.
*Technologies:* Python, Machine Learning, Data Analysis, Jupyter Notebook.

**Library Management System Using MySQL | SQL**
*2024*
- Developed a Library Management System using SQL, including table creation, CRUD operations, and advanced queries.
- Key features included database schema design, CTAS, and complex SQL queries for effective data analysis.

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### **SKILLS**
- **Data Science:** NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, Keras
- **Gen AI:** Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), NLP, RAG, LangChain, LLMs, AI Agents
- **Machine Learning:** Logistic Regression, KNN, Random Forest, Decision Tree, Regression (Linear, Lasso, Ridge), Clustering
- **Data Analyst:** SQL (MySQL), Power BI, Python (Pandas, NumPy, Seaborn, Matplotlib)

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### **CERTIFICATIONS**
- **Microsoft Certified: Azure AI Engineer Associate**
Demonstrated expertise in designing and implementing AI solutions on Microsoft Azure.
- **Data Analysis by Microsoft and LinkedIn**
Developed expertise in data analysis, visualization, and analytics to extract actionable insights.
- **Introduction to Retrieval Augmented Generation (RAG)**
Learned the basics of RAG, combining RAG techniques with AI models.

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### **EDUCATION**
**Master of Science in Data Science** | The Superior University
*2023 – 2025*
Relevant coursework: Machine Learning, Data Science, Artificial Intelligence, Database Management, Statistical Analysis.

**Bachelor of Science in Physics** | University of Education
*2017 – 2021*

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