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Data Analyst with less than a year in Python, SQL, and 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 Computer Science graduate with skills in Python, SQL, and Data Analysis. Experienced in developing academic projects and applying problem-solving skills to real-world challenges. Seeking opportunities to contribute and grow in technology-driven roles.
Raghu Engineering College
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Sasi Junior Kalasala
Intermediate · MPC
June 1, 2020 – May 31, 2022
Sri Chaitanya EM School
Secondary School Certificate
June 1, 2019 – May 31, 2020
Play Store Analytics Project
June 23, 2026 – Present
Analyzed Google Play Store data to identify trends in app ratings, reviews, installs, and categories. Performed data cleaning, exploratory data analysis (EDA), and visualization to derive actionable insights. Used Python, Pandas, NumPy, Matplotlib, Seaborn, and Excel for data analysis and reporting.
Facial Feature Based Student Attendance Automation Using Deep Learning
June 23, 2026 – Present
Developed an automated attendance management system using Deep Learning-based Face Recognition (LBPH) for accurate student identification and attendance tracking. Implemented Admin and Student modules for attendance management, student records, and performance monitoring. Enhanced efficiency by reducing manual attendance errors and preventing proxy attendance. Used Python, OpenCV, NumPy, Pandas and LBPH Face Recognizer for model development and data processing.
Google Cloud Data Analytics Certificate
May 1, 2025 – July 1, 2025
Skill Rack Certificate for SQL
Skill Rack
January 1, 2025 – Present
NPTEL Problem Solving through Python Programming
NPTEL
January 1, 2024 – April 1, 2024
MathWorks Certificate for MATLAB Onramp
MathWorks
October 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science Engineering, coupled with projects in data analytics and deep learning, indicates a strong interest in technology-driven roles. The certifications further align with a data-focused career path. The diversity of tools and techniques used in projects (Python, SQL, Power BI, Tableau, OpenCV, Deep Learning) suggests a willingness to learn and adapt, which is positive for cultural fit in a dynamic environment. However, the lack of professional experience limits the assessment of real-world collaboration and adaptability.
Soft Skills & Operational Fit
The candidate's academic projects demonstrate problem-solving skills and an ability to apply technical knowledge to practical scenarios. The descriptions indicate a structured approach to data analysis and system development. However, without professional experience or psychometric test results, it's difficult to assess work attitude, stress handling, or team collaboration directly.