Data Analyst with less than a year in SQL, Python & Web Technologies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Associate Software Engineer pursuing a B.Tech in Computer Science (AI Specialization) with a strong foundation in Python, SQL, and web technologies. Proven ability to analyze datasets, develop web applications, and build data-driven solutions through internships and projects. Eager to contribute to innovative teams focused on data analysis and software development.
BML Munjal University
B.Tech · Computer Science (AI Specialization)
September 1, 2022 – August 1, 2026
Aviraj World School
Senior Secondary · Class XII
N/A – April 1, 2022
Euro International School
Secondary School · Class X
N/A – April 1, 2020
Verto Bizserv
SQL Developer Intern
January 1, 2026 – Present
Noida, Uttar Pradesh, India
Areksoft Technologies
Software Trainee
June 1, 2024 – August 1, 2024
India
MediGenie - Medical Assistant
May 1, 2025 – May 31, 2025
• Built a retrieval-augmented medical assistant capable of document-based question answering using vector search. • Implemented document chunking, embedding pipelines, and semantic retrieval workflows for medical knowledge extraction. • Improved response quality through prompt engineering and retrieval optimization techniques.
Web Content Analysis System
January 1, 2025 – December 31, 2025
• Developed a web scraping and content analysis tool to extract and evaluate website information. • Analyzed URL structures, metadata, and content quality using automated parsing techniques. • Generated structured reports to support content categorization and optimization.
View ProjectLinkedIn Data Scraping & Analysis
August 1, 2024 – August 31, 2024
• Scraped and analyzed data from 15,000+ LinkedIn profiles to identify hiring trends, skill demand patterns, and recruitment insights. • Processed large datasets using Python, SQL, and PySpark while performing data validation and quality analysis. • Built dashboards and reports to visualize trends and support data-driven decision making.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse technologies (Python, SQL, HTML, CSS, Pinecone, Pandas, Streamlit, Langchain, PySpark, RAG). The blend of data analysis, web scraping, and AI-focused projects indicates a broad interest in technical domains relevant to data-driven organizations. The internship experience, though limited, shows exposure to corporate environments. The candidate's academic achievements and project diversity suggest a motivated individual who can adapt to various technical challenges, which aligns well with a dynamic work culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate collaboration with cross-functional teams and a focus on improving application functionality and user experience, suggesting a team-oriented approach. The academic background in Computer Science with AI specialization, coupled with diverse projects, points to a problem-solving attitude and adaptability. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.