Data Analyst with less than a year in Data Analytics & Visualization
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering student with strong skills in Python, R, SQL, and data visualization using Power BI. Experienced in cleaning and analyzing datasets, developing dashboards, and working on real-world data projects. Passionate about software development, data analytics, and emerging technologies. Seeking internship opportunities to apply my knowledge and contribute to impactful projects.
Maharshi Dayanand University
B.Tech · Computer Science Engineering
July 1, 2023 – May 1, 2027
IBM Skill Build
Data Analyst Inter
July 1, 2025 – July 30, 2025
India
E-commerce Product Analysis
June 1, 2026 – Present
Collected and cleaned raw e-commerce transactional data using Microsoft Excel to remove missing values, fix inconsistent formats, and prepare data for analysis – Queried structured datasets using Power Query to generate insights such as total revenue by product, sales distribution by region, and customer segmentation (new vs repeat customers) – Performed explore to identify best-selling products, seasonal demand fluctuations, and purchase behavior – Created dynamic dashboards using Power BI – Designed an interactive Power BI dashboard featuring: Slicers for filtering data by region, product category, and month Cards displaying KPIs such as Total Revenue, Average Order Value, and Total Customers Line charts to represent monthly sales growth and trends over time.
Student Performance and Outcome analytics platform
June 1, 2026 – Present
Built a Student Performance Analytics Platform to predict outcomes, identify at-risk students, and generate personalized recommendations using academic and behavioral data. Implemented end-to-end data pipeline including preprocessing, EDA, feature selection, and Linear Regression modeling. Developed an Early Warning System, NLP-based insights, and What-If analysis to support data-driven decision-making. Created an interactive dashboard for visualizing key performance metrics.
HR Attrition Analysis
June 1, 2026 – Present
Collected and cleaned HR employee data using Microsoft Excel – Performed exploratory data analysis (EDA) to identify key features affecting attrition like job satisfaction, age, income, and department – Created dynamic dashboards with filters for department, gender, and job role to show visual trends. – Designed an interactive Power BI dashboard featuring: Slicers for department, gender, and job role filters Cards for KPIs (Attrition Designed bar charts to compare attrition across departments and job roles, and used matrix visuals for cross-tab analysis.
Data Analyst
IBM Skill Build
June 1, 2026 – Present
Web Dev
Campus Training
June 1, 2026 – Present
IOS
Campus Training
June 1, 2026 – Present
Prompt Engineering
Campus Training
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like e-commerce, student performance, and HR attrition, showing a breadth of interest in applying data analysis to various business problems. The IBM Skill Build internship and certifications indicate a proactive approach to learning and professional development. However, the experience level is very low (internship only), which might require significant mentorship in a senior role.
Soft Skills & Operational Fit
The candidate lists communication skills, problem-solving, attention to detail, and presentation skills. These are crucial for a Data Analyst role, indicating a good operational fit. The academic projects and internship experience suggest an ability to work on structured tasks and present findings.