Data Analyst with less than a year in legal research and strong data analytics skills.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented professional pursuing LLB with a strong interest in legal research, compliance, and data-driven decision-making. Skilled in Data Analytics tools including SQL, Python, Advanced Excel, and Power BI for data handling, visualization, and analysis. Possesses good analytical, communication, and problem-solving abilities with internship experience in the legal field. Capable of combining legal knowledge with analytical skills to support research, reporting, and organizational growth in a professional environment.
JNPG (KKC) college
LLB · Law
N/A – June 30, 2026
Lucknow University
B.A. · Political Science
N/A – Present
Kendriya Vidyalaya
Intermediate (12th-Arts) · Arts
N/A – Present
Kendriya Vidyalaya
High School (10th)
N/A – Present
District and Session court
Internship
September 1, 2025 – October 31, 2025
India
Digital Forensics
June 24, 2026 – Present
Conducted research from secondary source on digital forensics and its role in investigation and evidence collection. Studied legal laws related to cybercrime and admissibility of digital evidence. Analyzed the methodology, technology, law, and policy.
Cultural Fit Analysis
The candidate's background in Law and Political Science, combined with an interest in data analytics, suggests a unique perspective. The academic project on 'Digital Forensics' and internship at a District and Session court indicate an interest in research, compliance, and legal frameworks. While these experiences are not directly in data analytics, they show a capacity for structured investigation and understanding complex systems. The stated passion for social issues and research aligns with a collaborative and purpose-driven work environment. However, the lack of diverse technical projects limits the assessment of cultural fit within a purely tech-focused team.
Soft Skills & Operational Fit
The candidate highlights soft skills such as analytical thinking, communication, problem-solving, attention to detail, team collaboration, and time management. These are positive indicators for operational fit. The candidate also expresses a passion for contributing to meaningful projects related to research and social issues, which suggests a value-driven approach to work. However, practical application of these skills in a data analyst context is not yet demonstrated.