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Data with 1+ 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
Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI for analysis large datasets and delivering business insights. Skilled in data cleaning, exploratory data analysis, dashboard development, and machine learning. Experienced in transforming raw data into actionable insights that support strategic business decisions.
L.B Degree College
Bachelor of Science · Computer Science
October 1, 2021 – July 1, 2024
Technosport
Data Analyst Intern
December 1, 2025 – March 1, 2026
Bengaluru, Karnataka, India
AISPRY, 360DigiTMG
Data Analyst Trainee
September 1, 2024 – September 1, 2025
Bengaluru, Karnataka, India
Wind Turbine Failure Analysis
April 1, 2025 – June 1, 2025
• Analyzed turbine sensor datasets to identify failure patterns and reduce unplanned outages by approximately 30%. • Built data preprocessing pipelines improving dataset quality by 40%. • Developed predictive models using Random Forest and Logistic Regression achieving 90% accuracy.
Walmart Sales Analysis
February 1, 2025 – May 1, 2025
• Processed and cleaned Walmart sales datasets using Python and SQL by handling missing values and encoding categorical variables. • Conducted exploratory data analysis using Pandas, Matplotlib, and Seaborn to identify sales trends and customer behavior patterns. • Built Power BI dashboards to monitor KPIs and improve sales trend visibility by 15%.
Data Science Using Python
360DigiTMG
June 1, 2026 – Present
SQL for Data Analytics
360DigiTMG
June 1, 2026 – Present
Power BI for Business Intelligence
360DigiTMG
June 1, 2026 – Present
Excel for Data Analyst
360DigiTMG
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experience align well with a Data Analyst role, demonstrating a clear interest and foundational skill set in the data domain. The certifications further reinforce a commitment to continuous learning and skill development in relevant areas (Python, SQL, Power BI, Excel). The diversity of projects (sales analysis, turbine failure analysis) indicates adaptability and a broad understanding of data application across different business contexts. The candidate's experience level (1) is consistent with the roles held (Intern, Trainee), suggesting a realistic career progression.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (reducing unplanned outages, improving sales visibility) and a results-oriented approach (quantified improvements). The academic projects and internship suggest an ability to work with real-world datasets and contribute to business insights. However, without psychometric or English test scores, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.