Data Analyst with less than a year in SQL, Python & 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
Motivated B.Tech (IT) fresher with hands-on project experience in SQL, Python, Excel, and Power BI. Passionate about turning raw data into actionable insights through analysis and visualization. Seeking an entry-level Data Analyst role to apply analytical skills and contribute to data-driven decision making.
Kothiwal Institute of Technology & Professional Studies, Moradabad
B.Tech · Information Technology
N/A – June 30, 2024
Financial Performance Analysis & Expense Optimization Dashboard
January 1, 2024 – June 1, 2026
Analyzed 3 years of simulated financial transaction data to evaluate revenue growth, expense patterns, and profitability. Performed data cleaning using Python - handled missing values, standardized date formats, and categorized expense types. Conducted trend and variance analysis to compare monthly revenue vs. budget and identify cost leakages. Built KPIs including Operating Profit Margin, Net Profit Margin, ROI, and Expense Ratio using DAX in Power BI. Created an interactive Power BI dashboard with Monthly Revenue vs. Expense Trends, P&L Summary, and YoY Growth. Automated monthly report refresh using Power BI scheduled refresh feature.
Sales Performance Analysis & Forecasting Dashboard
January 1, 2024 – June 1, 2026
Analyzed 2 years of publicly available retail sales data to identify business trends, top-selling products, and underperforming regions. Performed data extraction using SQL and preprocessing using Pandas; conducted EDA using Matplotlib and Seaborn. Uncovered insights about seasonality, customer segments, and revenue patterns through exploratory data analysis. Built a sales forecasting model using ARIMA to predict next-quarter sales and support inventory planning. Developed an interactive Power BI dashboard with Total Revenue, Profit Margin, Sales by Region, and Forecasted Trends.
Data Analytics Certification
4Achiever
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are directly aligned with the 'Data Analyst' target role, demonstrating a clear career interest. The diversity in project types (financial performance, sales forecasting) shows a breadth of application for data analysis skills. However, as a fresher with no work experience, the exposure to diverse team environments or corporate culture is limited. The academic nature of projects suggests a foundational fit for analytical roles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured analytical tasks. The focus on academic/self-initiated projects suggests self-motivation and a proactive approach to learning. However, without psychometric test results or interview data, it's difficult to assess stress handling, team collaboration, or other soft skills.