Data Analyst with less than a year in SQL, Python & Power BI for actionable insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with strong proficiency in SQL, Python, and Power BI, experienced in transforming raw data into actionable insights through data cleaning, visualization, and dashboard development. Skilled in exploratory data analysis (EDA) and business intelligence reporting. Proven ability to analyze large datasets and support data-driven decision-making
Indira Gandhi National Open University, Delhi
BCA
July 1, 2022 – December 1, 2025
T.D. College, Jaunpur
Senior Secondary
July 1, 2020 – June 1, 2022
R. L. Inter College, Jaunpur
Higher Secondary
July 1, 2018 – June 1, 2020
Blinkit Data Analysis
June 23, 2026 – Present
Developed an interactive Power BI dashboard analyzing sales data exceeding (1.2M), providing insights into product performance, outlet types, and customer ratings. Analyzed outlet types and city locations, finding Supermarket Type 1 and Tier 3 cities as top revenue contributors. Conducted sales trend analysis (2011–2022), highlighting 2018 as the peak year (205K) and spotting growth opportunities. Designed interactive visuals with filters and drill-downs to enable deeper business insights.
View ProjectFarmers Market Dashboard
June 23, 2026 – Present
Designed an interactive sales dashboard in Power BI to track revenue, customers, vendors, and product performance. Built key performance indicators (KPIs) for sales, quantity, customer count, and growth trends. Applied customer and product segmentation to identify the top performing items and the regions of the high value customer. Provided actionable business insights on vendor dependency, regional sales, and customer demographics to support decision-making.
View ProjectLaptop Price Prediction
June 23, 2026 – Present
Developed a regression-based ML model to predict laptop prices using specifications like brand, processor, RAM, storage, GPU, and screen. Performed data preprocessing and feature engineering using missing value handling and OneHotEncoder. Conducted EDA to identify trends, outliers, and feature relationships; applied feature scaling and engineering. Trained and optimized multiple models (Linear, Ridge, Lasso, Random Forest, XGBoost), achieving best performance with XGBoost (R²: 0.83, MAE: 0.19), and deployed the model using Streamlit for real-time predictions.
View ProjectSQL Certificate Course
Scaler Academy
January 1, 2025 – Present
Data Science Master Course
Coding Blocks
February 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a practical, results-oriented approach to data analysis, aligning with roles that require direct business impact. The diversity of projects (e.g., sales analysis, market insights, price prediction) shows a broad interest in applying data skills across different domains. However, the candidate's experience level is entry-level, which might require more mentorship and integration into a senior team's workflow.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable business insights, which is crucial for a Data Analyst role. The focus on interactive dashboards and KPIs suggests an understanding of stakeholder needs. However, without specific behavioral or psychometric test results, it's difficult to assess stress handling, team collaboration, or work attitude.