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Data Analyst with less than a year in data cleaning, analysis, and visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and results-driven Data Analyst fresher with strong skills in data cleaning, analysis, and visualization. Proficient in Python, SQL, Excel, Tableau and Power BI to transform raw data into actionable insights. Strong problem-solving skills, eager to apply analytical expertise in a data-driven environment
Dayanand Sagar College of Engineering
M.Tech. · Power Electronics
August 1, 2017 – June 30, 2019
Hirasugar Institute of Technology
B.E. · Electrical & Electronics Engineering
August 1, 2013 – June 30, 2017
Sales Performance Dashboard
June 1, 2026 – Present
Developed Power BI dashboard analyzing sales trends and customer behavior. Utilized SQL queries to extract, clean, and manipulate large datasets from a retail database. Delivered actionable insights
Data Cleaning & Transformation
June 1, 2026 – Present
Cleaned, structured, and transformed raw datasets using Excel formulas, Power Query, and SQL functions. Ensured data accuracy and consistency, reducing errors by 95%.
Sales and Inventory Analysis
June 1, 2026 – Present
A project for a B2C company that involved sales and inventory analysis. Customer analysis, building dashboards, and predicting sales.
Data Analyst Certification
Unknown
June 1, 2026 – Present
Visualization Using Power BI
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical data analysis applications, including sales, inventory, and customer behavior. The personal project nature suggests self-motivation and initiative. The listed soft skills align well with collaborative team environments typical in data analysis roles. The academic background in Electrical & Electronics Engineering and Power Electronics, while not directly in data science, shows a strong analytical foundation. The certifications further indicate a proactive approach to skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate highlights problem-solving, critical thinking, communication, and attention to detail as soft skills. These are crucial for a Data Analyst role, suggesting a good operational fit. However, without specific examples or interview data, the depth of these skills cannot be fully assessed.