Hello, I'm

M P Chanikya

A |

Aspiring data science professional with hands-on experience in building AI agents and prompt engineering. Proficient in Python and developing interactive applications to solve real-world problems.

Scroll Down

01. About Me

I'm an aspiring Data Scientist based in Hyderabad, Telangana, with a passion for leveraging AI and Machine Learning to build intelligent solutions. My journey spans from developing Python-based AI agents and prompt engineering solutions at S&P Global to building end-to-end document extraction pipelines using LLMs.

I thrive at the intersection of data science and software engineering — creating interactive applications with Streamlit, harnessing the power of AWS cloud services, and continuously exploring the latest in NLP, RAG, and LLM technologies.

Committed to continuous learning, teamwork, and delivering innovative solutions that make a real impact.

0
+

Year Experience

0
+

Projects Built

0

Certifications

0

Companies

02. Skills & Expertise

Languages

Python SQL

Libraries & Frameworks

Pandas NumPy Scikit-learn Matplotlib Seaborn PyMuPDF Streamlit LangChain

Databases

MySQL

Tools & Platforms

Jupyter Notebook AWS S3 AWS SageMaker AWS Bedrock Azure OpenAI Hugging Face PyTorch

ML Algorithms

Linear Regression Logistic Regression Decision Trees Random Forest K-Means Clustering SVM

Familiar With

Deep Learning Data Modeling Data Visualization Data Preprocessing Feature Engineering RAG Prompt Engineering Model Evaluation Git API Integration LLM Chatbots NLP

03. Professional Experience

Data Scientist Apprentice

S&P Global

Nov 2024 – Nov 2025
  • Developed Python solutions for AI agents and prompt engineering, utilizing LLM models.
  • Utilized AWS services (S3, Bedrock, SageMaker) for data collection and multi-document segmentation.
  • Created interactive UI applications with Streamlit to demonstrate project outcomes to stakeholders.
  • Managed code versioning and collaboration via Git and GitHub.
  • Participated in hackathons, developing sentiment analysis tools and live dashboards.
  • Built an end-to-end document extraction pipeline using LLMs and Streamlit for interactive PDF analysis with modular agents for schema selection, data extraction, and entity condensation.
Python AWS LLMs Streamlit Prompt Engineering

AI & ML Developer Intern

YBI Foundation

July 2024
  • Completed a one-month internship specializing in Artificial Intelligence and Machine Learning.
  • Learned Linear and Logistic Regression concepts and applied them to real-world projects.
Machine Learning Linear Regression Logistic Regression

04. Featured Projects

Sentimental Analysis

A machine learning model that analyzes and classifies text sentiment using NLP techniques and supervised learning algorithms.

Python Scikit-learn NLP

Face Recognition Attendance

Automated attendance tracking system using face recognition with ML-powered facial detection and identification.

Python OpenCV ML

Hill & Valley Prediction

Machine learning classifier that predicts terrain patterns — identifying hills and valleys from sequential data points.

Python Scikit-learn Data Analysis

Mileage Prediction

Regression model that predicts vehicle fuel efficiency (MPG) based on various automotive features and specifications.

Python Regression Pandas

05. Education

Bachelor of Technology (B.Tech)

Computer Science Engineering

Nalla Narasimha Reddy Group of Institution

Aug 2019 – July 2023

06. Certifications

Cloud Practitioner Essentials

Amazon Web Services (AWS)

Python Fundamentals

Great Learning

Data Science: Python for Data Analysis

Udemy — Full Bootcamp

07. Get In Touch

I'm currently open to new opportunities and collaborations. Whether you have a question, a project idea, or just want to say hi — feel free to reach out!