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Data Analyst with 2+ years in Python, SQL & Power BI
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 skilled in Python, SQL, Power BI, and Machine Learning with hands-on experience in EDA, dashboard development, data validation, and predictive modeling. Passionate about transforming business requirements into actionable insights through data-driven analytics and visualization.
Dr. Lankapalli Bullaya College of Engineering
B.Tech · CSE
August 1, 2025 – June 30, 2025
Narayana Junior College
Intermediate · AP Board
June 1, 2021 – May 31, 2021
GMR SML DAV Public School
CBSE (10th)
June 1, 2019 – May 31, 2019
Digital Edify
Data Analyst with Data Science
September 1, 2025 – Present
India
Larsen & Toubro
Data Engineering Intern
June 1, 2024 – August 31, 2025
India
Harassment-Free Digital Spaces: An AI-Driven Reporting & Supporting System
June 1, 2026 – June 1, 2026
Built an NLP model (~85% accuracy) to detect abusive content Developed an interactive dashboard using Streamlit to visualize insights and support reporting.
Retail Sales Dashboard
June 1, 2026 – June 1, 2026
Analyzed 50K+ records; Created KPIs to track performance and identify trends Generated actionable insights through KPI dashboards to support business decision-making.
Python 101 for Data Science
IBM
June 1, 2026 – Present
Job Ready Employability Skills
Wadhwani Foundation
June 1, 2026 – Present
Python for Machine Learning
Great Learning
June 1, 2026 – Present
Data Engineering with Python
L&T Edutech
June 1, 2026 – Present
Powerbi & Data Science
Digital Edify
June 1, 2026 – Present
The candidate scored 23%, indicating significant gaps in fundamental Python programming, data analysis, and related advanced topics like streaming data and unit testing. This suggests a need for substantial upskilling in these areas.
Limitations
The candidate achieved a high score of 94%, indicating a strong grasp of Data Science and Artificial Intelligence concepts. This suggests a solid theoretical foundation for a Data Analyst role with AI/ML components.
Cultural Fit Analysis
The candidate's academic projects, such as 'Harassment-Free Digital Spaces' and 'Retail Sales Dashboard', demonstrate a proactive approach to applying data skills to real-world problems, including social impact and business optimization. The internship experiences at Digital Edify and Larsen & Toubro show exposure to different organizational environments. The breadth of certifications in Python, Power BI, ML, and Data Engineering indicates a strong commitment to continuous learning and skill development, which aligns well with a growth-oriented culture. The target role of Data Analyst aligns with the candidate's stated career objective and demonstrated skills.
Soft Skills & Operational Fit
The candidate's resume lists 'Analytical Thinking', 'Problem Solving', 'Teamwork', 'Communication Skills', and 'Adaptability' as soft skills. The psychometric test score of 382/500 (76.4%) suggests a reasonable fit for logical reasoning, work attitude, stress handling, and team collaboration, which are crucial for operational effectiveness in a data-centric role. The English test score of 88% indicates good communication clarity.
Strengths
Limitations