Entry-level Data Analyst with strong Python and SQL skills, passionate about turning data into actio
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst fresher with strong analytical thinking, proficiency in Python and SQL, and a keen interest in turning data into actionable insights.
SITAMS Engineering college
BACHELOR OF TECHNOLOGY(AI) · AI
August 1, 2022 – June 30, 2026
Krishna Chaitanya Junior College, Nellore
INTERMEDIATE(MPC) · MPC
June 1, 2020 – May 31, 2022
M.L.N English Medium High School
SECONDARY SCHOOL CERTIFICATE
June 1, 2019 – May 31, 2020
Signature Fraud Detection Using Deep Learning
January 1, 2025 – April 1, 2025
Developed a deep learning-based system to detect forged handwritten signatures. Classified signatures as genuine or forged using image processing techniques. Automated the signature verification process to reduce manual inspection. Applied the solution to banking and legal authentication scenarios.
Signature Fraud Detection Using Deep Learning Mini Project Published Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is an aspiring Data Analyst fresher with an academic background in AI. The single project on signature fraud detection shows an interest in applying AI/ML to real-world problems. However, the lack of diverse projects, professional experience, and a broad range of skills beyond basic Python/SQL and deep learning for image processing limits the assessment of cultural fit for a senior Data Analyst role requiring broader data manipulation, statistical analysis, and business intelligence skills. The candidate's profile aligns more with an entry-level or junior position.
Soft Skills & Operational Fit
The candidate lists 'Strong problem-solving abilities, Good Communication skills, quick learner' as soft skills. The extra-curricular activity as a coordinator suggests some organizational and teamwork potential. However, without specific assessments or professional experience, the operational fit for a senior role is unproven.