SANDRAMOL K.S

About

AI/ML Engineer with hands-on experience in Python, machine learning, generative AI, and LLM-based application development. Skilled in LangChain, LangGraph, FastAPI, RAG, Hugging Face, and AWS, with a focus on building scalable AI solutions.

Education

• Professional Certification in AI & ML with Data Science
  SMEC Labs
  Data Science · May 2025 – Nov 2025
• Bachelor of Computer Applications
  Mahatma Gandhi University
  BCA · Sep 2022 – Apr 2025

Skills

• SQL
• Data Preprocessing
• Data Visualization
• FastAPI
• Gemini
• GitHub
• Google Colab
• Python
• Prompt Engineering
• Tableau
• MySQL
• VS Code
• MongoDB
• AWS Lambda
• Amazon S3
• Data Cleaning
• Feature Engineering
• Matplotlib
• NumPy
• Pandas
• Streamlit
• scikit-learn
• OpenCV
• PyTorch
• TensorFlow
• Image Processing
• Seaborn
• Neural Networks
• Keras
• LangChain
• Pycharm
• NLTK
• Yolo
• Random Forest
• Amazon SNS
• Excel
• Statistical Analysis
• NLP
• Probability
• Agentic AI
• RAG
• LLM
• OpenAI
• Object Detection
• Sentiment Analysis
• LangGraph
• Hugging Face Transformers
• Eda
• Faiss
• Lstm
• Linear Regression
• Time-Series Forecasting
• Polynomial Regression
• Mse
• Mae

Projects

• Tableau HR Analytics Dashboard
  Tableau, Microsoft Excel, Data Cleaning, Data Transformation

  Designed and developed an interactive Tableau HR Analytics dashboard to visualize employee distribution, attrition trends, and key workforce KPIs for data-driven HR decision making.

• Cryptocurrency Prediction on Live Yahoo Finance
  Python, TensorFlow, Keras, LSTM, Time-Series Forecasting, Machine Learning, MSE, MAE

  Developed an end-to-end time-series forecasting pipeline on live Yahoo Finance data using LSTM neural networks and evaluated model performance using MSE and MAE metrics.

• Sentiment Analysis
  Hugging Face Transformers, NLTK, NLP, Sentiment Analysis, Machine Learning

  Developed an NLP-based sentiment analysis model using Hugging Face Transformers and NLTK. Performed text preprocessing and sentiment classification for customer reviews.

• Smart Video Emotion + Object Detection System
  Python, YOLO, Hugging Face Transformers, OpenCV, Scikit-learn, Streamlit

  Built a computer vision application using YOLO, OpenCV, and Hugging Face Transformers for real-time object and emotion detection. Deployed the application with Streamlit for interactive video analysis.

• PDF ChatBot
  Python, AWS S3, RAG, FAISS, LangChain, Vector Search, Hugging Face Embeddings, Streamlit

  Developed a RAG-based PDF chatbot using LangChain, FAISS, and Hugging Face Embeddings for document question answering. Integrated AWS S3 and Streamlit for document storage and an interactive user interface.

• Agentic Data Analyst – Autonomous CSV Insight & Reporting Agent
  Python, LangGraph, FastAPI, Streamlit, Ollama/Llama 3, Reportlab

  Built a multi-agent CSV analysis system using LangGraph StateGraph with dedicated nodes for data cleaning, EDA, outlier detection, visualization, and time-series forecasting. Integrated a local LLM with parallelized calls to speed up report generation and deliver metrics via Streamlit and a multi-page PDF report through a FastAPI backend.

Courses & certifications

• Professional Certification in AI & ML with Data Science · SMEC Labs · 2025

🗣️ Languages

• Malayalam · Native
• English · Professional