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Data Analyst with less than a year in Python, SQL, and 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
Enthusiastic and detail-oriented aspiring Data Analyst with experience in Excel, Power BI, SQL, and Python, and exposure to Data Science and Machine Learning. Skilled in data cleaning, exploratory analysis, feature engineering, and building insights through dashboards and visualizations to support data-driven decisions.
IES IPS Academy, Indore
Bachelor of Technology (B.Tech) · Information Technology
September 1, 2023 – July 1, 2027
Regional Sales EDA Interactive Dashboard
June 23, 2026 – Present
Engineered an EDA pipeline in Python (Pandas, NumPy, Matplotlib, Seaborn) to analyze 50K+ sales records, uncovering regional trends and revenue growth opportunities. Built an interactive Power BI dashboard with dynamic filters and drill-downs, enabling 20 percent faster decision-making on KPIs like Revenue, Profit, and Margin. Optimized data cleaning workflows, boosting accuracy by 95 percent and highlighting top-performing regions, categories, and sales patterns. Integrated Python analytics with BI reporting, empowering stakeholders to improve profitability by 12 percent and enhance performance monitoring.
Shopify Performance Intelligence Sales Trend Analysis
June 23, 2026 – Present
Drove 4.18M in net sales growth by optimizing the customer funnel and increasing repeat purchase rate to 46. Elevated customer lifetime value (CLV) to 943.6 and improved purchase frequency to 1.68 through targeted retention strategies. Enhanced checkout efficiency by driving 51.6 percent adoption of Shopify Payments, reducing friction and improving conversions. Discovered top-performing product categories through trend analysis, enabling data-driven marketing and inventory decisions.
Supply Chain Analytics
June 23, 2026 – Present
Developed an end-to-end ETL pipeline using Python (Pandas) and MySQL to extract, transform, and load 180K+ supply chain records for analytical reporting. Performed data cleansing, data transformation, missing value imputation, feature engineering, and data quality validation to optimize dataset reliability and business usability. Designed and executed SQL queries using Aggregations, CTEs, and Window Functions to analyze sales, profit, orders, and delivery performance. Built an interactive Power BI dashboard to track KPIs and generate supply chain business insights.
Forage Data Visualisation Certificate
TATA Group
June 1, 2026 – Present
Python Course Certificate
SCALER Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analysis across various domains (sales, supply chain). The projects are well-aligned with a Data Analyst role, showcasing practical application of relevant tools and techniques. The breadth of skills (Python, SQL, Power BI, Excel) and exposure to Machine Learning indicate a proactive learning attitude. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Communication, Problem Solving, Teamwork, Attention to Detail, and Critical Thinking. Project descriptions indicate an ability to translate technical analysis into business impact (e.g., '20 percent faster decision-making', 'improve profitability by 12 percent'). However, without direct interview data or psychometric test results, the operational fit and practical application of these soft skills cannot be fully assessed.