
Data Analyst Intern with less than a year in Python, SQL, & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Versatile Computer Science Engineering graduate (CGPA: 8.9) with a strong blend of software development, data analysis, and AI/ML skills. Experienced in Python, SQL, OpenCV, TensorFlow, and BI tools (Tableau, Power BI). Proven ability to build ML models, analyze business datasets, design data pipelines, and deliver actionable insights through clear visualization and reporting. Adaptable and eager to contribute across software engineering, data analytics, or AI-driven product environments.
Parisutham Institute of Technology & Science
B.E. · Computer Science & Engineering
August 1, 2022 – June 30, 2026
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June 1, 2025 – July 1, 2025
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Sign Language to Text Conversion using MobileNet
June 1, 2026 – Present
Designed and built a Python-based real-time sign language recognition system leveraging MobileNet (CNN Transfer Learning) for multi-class image classification. Developed robust image preprocessing pipelines, applied hyperparameter optimization, and systematically evaluated model performance - demonstrating software engineering and analytical rigor. Achieved strong classification accuracy, producing structured performance reports to guide iterative model improvement — combining both data analysis and ML engineering skills.
Python for Data Science
Techbinos
June 1, 2026 – Present
Business Analyst
Techbinos
June 1, 2026 – Present
National Con-Call – Paper Submission (Research Contribution)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic ML projects to business analyst internships, indicates adaptability and a broad interest in data-related fields. Their proactive pursuit of certifications and involvement in a research contribution suggest a growth mindset and eagerness to learn, which aligns well with a dynamic, learning-oriented culture. The target role of 'Data Analyst Intern' aligns perfectly with their current experience and stated interests.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as stakeholder communication, requirements gathering, data storytelling, and problem-solving, which are crucial for a Data Analyst role. Their internship experience shows an ability to collaborate and deliver actionable insights, indicating a good operational fit for data-driven environments.