Technical credentials and academic milestones
A structured record of engineering training, data science specialization, and industry-standard certifications validating hands-on development capabilities.
Verified technical certifications
Rigorous training programs and competitive hackathons validating core competencies in data analysis, cloud pipelines, and responsive web systems.
Structured technical progression
From foundational low-level syntax to deploying predictive AI models. Each milestone represents a deliberate expansion of my engineering capabilities.
Core Foundations
Data & Web
AI Integration
Mastering C programming, procedural logic, and relational database design with SQL to manage and query structured enterprise datasets efficiently.
Implementing complex data structures in Python while building responsive, high-performance front-end interfaces for data-driven web applications.
Deploying predictive machine learning models and integrating intelligent pipelines into production-ready, responsive web platforms like Zyra AI.
CERTIFICATIONS
SIH CERTIFICATE
Recognized as a Best Performer in the Internal Smart India Hackthon 2025 conducted by Sumathi Reddy Institute of Technology for Women.Worked collabratively on innovative problem-solving and technical project development,demonstrating teamwork,creativity, and analytical skills.
IBM SkillsBuild-RAG with langchain
Successfully completed the "Lab:Retrieval Augmented Generation with LangChain" course offered by IBM SkillsBuild. Gained hands-on experience in building AI-powered applications using Retrieval Augmented Generation(RAG),integrating external knowledge sources with Large Language Models(LLMS) through LongChain.
ABHIGYAAN 3.O
Use `Participated in a national-level technical event focused on ethical hacking and emerging technologies.Enhanced technical awareness,teamwork,and analytical thinking skills.
Skills:Technical Learning,Problem Solving,Collaboration
Rigorous academic foundation
A comprehensive academic record combining theoretical data science principles with consistent performance across secondary, intermediate, and higher technical education.
Pursuing Degree
87.5% Score
8.8 CGPA
Focusing on statistical modeling, machine learning pipelines, and database management systems at a rigorous professional level.
Strong foundational training in advanced mathematics, physics, and analytical problem-solving methodologies with a final score of 87.5%.
Early technical orientation with consistent high performance in science, technology, and logical reasoning, achieving an 8.8 CGPA.