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Data Analyst with less than a year in Python, SQL, Excel, and Power BI with hands-on experience in d
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, Excel and Power BI with hands-on experience in data cleaning, visualization and reporting. Strong ability to analyze datasets, identify trends and build dashboards that support data-driven decision making.
CMR Engineering College, Hyderabad
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior College
Intermediate (MPC)
June 1, 2020 – May 31, 2022
Sri Chaitanya Techno High School
SSC
N/A – Present
Sales Performance Analysis Dashboard
June 27, 2026 – Present
Analyzed 5,000+ sales transaction records to identify monthly revenue trends and customer purchasing patterns. Built interactive Power BI dashboards with KPI cards, pie charts and trend analysis visualizations. Performed data cleaning and duplicate removal using SQL and Excel. Improved reporting efficiency by organizing sales data into structured analytical dashboards.
View ProjectStudent Performance Analysis
June 27, 2026 – Present
Analyzed academic records of 1,000 students using Python and Pandas. Performed subject-wise score analysis and generated insights using statistical calculations. Created visualizations using Matplotlib to compare average scores across subjects. Processed and cleaned raw CSV datasets for accurate reporting and analysis.
View ProjectData Analytics with Python
Great Learning
June 1, 2026 – Present
SQL for Data Analysis
Coursera
June 1, 2026 – Present
Power BI for Beginners
Simplilearn
June 1, 2026 – Present
Excel Data Analysis Fundamentals
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science Engineering and self-driven certifications in core data analytics tools suggest a proactive and learning-oriented individual. The projects, though academic, show an interest in applying data skills to different domains (sales, education). This indicates a potential for cultural fit in an organization that values continuous learning and practical application. However, the lack of professional experience limits the assessment of collaboration, adaptability, and resilience in a team setting.
Soft Skills & Operational Fit
The candidate highlights problem-solving, analytical thinking, and communication skills, which are crucial for a Data Analyst role. The academic projects demonstrate an ability to work with structured data and present findings, indicating a foundational operational fit. However, without professional experience or psychometric test results, the depth of these soft skills and operational fit in a real-world, fast-paced environment cannot be fully assessed.