Syed Khaja Mukarram Ajaz

Data & AI Enthusiast

Passionate about leveraging cutting-edge AI and machine learning technologies to solve real-world problems. Currently specializing in synthetic data generation, NLP, and intelligent automation systems.

About Me

MA

Graduated in 2025🎓

B.Tech CSE (AI/ML) - 8.61 CGPA

SR University, Warangal

I'm a Computer Science Graduate specializing in AI/ML with hands-on experience at top companies like MetLife and Accenture. My journey in technology has been driven by a passion for creating intelligent solutions that make a real impact.

From building sophisticated machine learning models to developing AI-powered automation systems, I thrive on solving complex challenges and turning innovative ideas into practical solutions. My experience spans across data science, natural language processing, and data related fields.

When I'm not coding, you'll find me exploring the latest in AI research, participating in hackathons, or mentoring fellow students in their tech journey.

Technical Skills

Programming & Tools

Python SQL Git Streamlit Jupyter VS Code

AI & ML Frameworks

Scikit-learn TensorFlow PyTorch XGBoost Transformers HuggingFace

LLM & AI Agents

LangChain LangGraph Llama 3.1 LLM APIs

Data Handling

Pandas NumPy JSON HTML PDF parsing MySQL

Experience

Data Science Intern

MetLife Global Capability Center

Jun 2025 - Present

Leading AI initiatives in synthetic data generation and intelligent automation for insurance processes.

  • Researched approaches for generating synthetic data from semi-structured formats like PDF/Images, JSON, and HTML
  • Implemented web scraping techniques using BeautifulSoup and Docling for data collection and conversion
  • Built AI agent for claims assistant using LangGraph and LangChain, improving automation in customer service
  • Developed Intent Recognition module using Llama 3.1 for customer query processing
  • Collaborated with cross-functional teams to integrate AI solutions into production systems

Software Engineer Intern

Accenture Solutions Pvt. Ltd.

Feb - Jun 2025

Gained comprehensive experience in enterprise Oracle technologies and automation testing.

  • Developed expertise in Oracle SQL for database operations, queries, and enterprise-level data analytics
  • Built applications using Oracle APEX and explored Oracle Fusion Cloud ERP
  • Worked with TOSCA Automation Testing Tool to support automated testing processes
  • Enhanced understanding of cloud-based business solutions and enterprise architecture

Featured Projects

Music Recommendation System

Python • Spotify API • ML • Streamlit • KNN • PCA

Capstone project featuring a personalized music recommendation engine with advanced ML algorithms and real-time Spotify integration

  • Built personalized recommendation engine using KNN, PCA, DBSCAN, and Cosine Similarity algorithms
  • Processed 600k+ tracks from Kaggle and curated playlists for audio feature extraction
  • Developed interactive Streamlit web app with real-time recommendations and trend visualizations
  • Applied dimensionality reduction and clustering techniques for improved accuracy and diversity

Sentiment Analysis of Metaverse Tweets

Python • NLP • NLTK • VADER • Data Visualization

Comprehensive sentiment analysis system for understanding public perception of Metaverse technology through Twitter data

  • Implemented sentiment analysis on 15,000+ Metaverse-related tweets using advanced NLP techniques
  • Utilized NLTK, VADER, and AFINN for text preprocessing, tokenization, and sentiment scoring
  • Created data visualizations using Matplotlib, Seaborn, and WordCloud for trend analysis
  • Delivered end-to-end pipeline from data cleaning to visualization and insight extraction

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