Akhtar ali

About

Aspiring Data Scientist and ML Engineer with strong expertise in Python, SQL, and modern AI technologies. Experienced in data analysis across healthcare and e-commerce domains, with hands-on work in LLMs, NLP, computer vision, and machine learning.

Experience

• Data Science Trainee
  Jan 2024 – Present

Education

• B.Tech in Computer Science Engineering
  Shri Ramswaroop Memorial University
  Computer Science Engineering · 2022 – 2026

Skills

• SQL
• FastAPI
• Python
• Prompt Engineering
• JavaScript
• Classification
• Matplotlib
• NumPy
• Pandas
• Streamlit
• scikit-learn
• OpenCV
• PyTorch
• TensorFlow
• Seaborn
• CNN (Convolutional Neural Network)
• Keras
• LangChain
• NLTK
• Plotly
• Spacy
• RAG
• Sentiment Analysis
• Embeddings
• Tokenization
• Gemini APIs
• Transfer Learning
• Image Classification
• Bert

Projects

• Customer Segmentation using ML
  Python, Scikit-learn, Pandas

  Segmented 5,000+ customers using K-Means clustering and identified 4 distinct customer segments with tailored retention strategies. Projected 20% churn reduction through targeted interventions.

• Sales & Customer Analytics
  Python, SQL, ML, Power BI

  Processed 50,000+ sales transactions using SQL and Python. Applied RFM analysis and K-Means clustering on 8,500+ customers to identify revenue opportunities through analytics insights.

• Healthcare Data Analysis
  Python, Power BI, SQL

  Analyzed 25,000+ patient records with 99.5% accuracy. Built Power BI dashboards tracking KPIs such as recovery rate and occupancy, and automated reporting processes saving 20+ hours per month.

• Sentiment Analysis on Product Reviews
  Python, NLTK, Transformers

  Analyzed 10,000+ product reviews using BERT-based models for sentiment classification. Achieved 88% accuracy using fine-tuned DistilBERT and visualized sentiment trends using Plotly and Tableau.

• LLM-Powered Document Q&A System (RAG)
  LangChain, Hugging Face, FAISS

  Built a document-based question-answering system using LangChain and RAG architecture. Used Hugging Face embeddings and FAISS for vector similarity search, enabling querying on PDF documents with context-aware responses.

Courses & certifications

• Power BI Associate · Microsoft
• Statistics for Data Science · LinkedIn Learning
• Hugging Face NLP Course · Hugging Face
• LangChain for LLM Application Development · DeepLearning.AI
• TCS iON Data Analytics Certification · TCS iON
• HackerRank SQL Advanced Certification (5-Star, Top 3%) · HackerRank
• IBM Data Analytics with Python · IBM
• IBM Data Science & Artificial Intelligence Certification · IBM

🏆 Achievements & awards

• Analyzed 75,000+ records across healthcare, e-commerce, and NLP projects

  Recognized in the resume's key achievements section.

• Built 10+ dashboards and 8+ ML/DL models

  Included CNNs and NLP models among the projects.

• Implemented RAG-based Q&A system and sentiment analysis using Transformers

  Highlighted as a key achievement.

• Reduced reporting time by 40-70% through automation

  Reported impact from automation work.

🎯 Hobbies & interests

• LLMs
• Generative AI
• NLP
• MLOps
• Data Science