Data Science with less than a year 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
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
Hirasugar Institute of Technology, Nidasoshi
B.E. · Electrical & Electronics Engineering
N/A – June 30, 2017
Dayanand Sagar College of Engineering, Bangalore
M.Tech. · Power Electronics
N/A – June 30, 2019
Sales Performance Dashboard
June 24, 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 24, 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 24, 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
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying data analysis to business problems (sales, inventory). The listed soft skills align with collaborative and analytical work environments. The educational background in Electrical & Electronics Engineering and Power Electronics, while not directly in Data Science, shows a strong analytical foundation. The personal projects and certifications indicate self-driven learning and initiative, which are positive indicators for cultural fit in a dynamic data-driven team.
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 Science role, indicating a foundational understanding of the required operational mindset. However, without specific examples or behavioral assessments, the depth of these skills cannot be fully validated.