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Data Analyst with less than a year in Python, SQL & Data Analysis
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 with strong skills in Python, SQL, and data analysis. Experienced in working with structured data, building dashboards, and generating insights to support decision-making. Strong analytical mindset with ability to interpret data and communicate findings effectively.
PSCMR College of Engineering & Technology
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Codegnan IT Solutions
Software Engineering Intern
May 1, 2024 – November 30, 2024
India
HypeBot - AI Voice Translator
June 17, 2026 – Present
Handled multilingual data processing across 8+ languages using API integrations. Optimized data flow to reduce latency and improve response efficiency. Analyzed user interaction patterns to improve system performance.
View ProjectSmart Attendance System (AI-Based)
June 17, 2026 – Present
Processed and analyzed 100+ records for attendance tracking using facial recognition. Built backend data pipelines to store and retrieve structured attendance data efficiently. Generated insights on attendance patterns to support monitoring and reporting.
View ProjectCultural Fit Analysis
The candidate's projects, such as an AI-based attendance system and an AI voice translator, show initiative and an interest in applying technology to solve real-world problems. Their internship experience and academic background in Computer Science and Engineering align well with a data-driven culture. The mention of collaboration in their internship and core competencies suggests a team-oriented mindset. However, with limited professional experience, the depth of cultural fit is yet to be fully assessed.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project descriptions and an internship role involving collaboration. Their core competencies also list problem-solving, analytical thinking, and attention to detail, which are valuable for operational fit. The projects indicate an ability to work with diverse data types and integrate different technologies.