Data Analyst with less than a year in Data Analysis & Visualization
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 Data Analyst fresher with a strong academic background in Artificial Intelligence and Data Science. Proficient in Excel, SQL, and Power BI, with hands-on experience in data analysis, visualization, and dashboard development through academic projects. Adept at transforming data into actionable insights to support business decision-making.
Global Institute of Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Superstore Sales Dashboard Analysis
August 1, 2025 – Present
Developed an interactive Power BI dashboard to analyze sales and profit performance across regions, categories, and time periods. Performed data cleaning and transformation using Power Query; built 4+ DAX measures including YoY growth, rolling averages, and profit margin KPIs. Implemented 15-Days sales forecasting using Power BI analytics pane, enabling proactive inventory and revenue planning. Delivered actionable insights identifying top-performing sub-categories and loss-making segments to support data-driven business decisions.
View ProjectLaptop Price Predictor
August 1, 2025 – Present
Developed a machine learning model to predict laptop prices using historical data. Performed data preprocessing and exploratory data analysis (EDA) to identify key features. Implemented regression algorithms such as Linear Regression and Decision Trees. Improved prediction accuracy and supported data-driven pricing decisions.
Excel Sales Insights – Vrinda Store
August 1, 2025 – Present
Created an interactive Excel dashboard to analyze Vrinda Store's sales performance. Utilized Pivot Tables, Charts, and Slicers for dynamic visualization. Delivered insights on top-performing regions and customer segments.
View ProjectE-commerce Sales Analysis
August 1, 2025 – Present
Analyzed 50,000+ transaction records using Python and SQL to surface revenue trends, customer segments, and top-selling products. Conducted data preprocessing and exploratory data analysis (EDA) to identify trends. Derived actionable insights on customer behavior, top-selling products, and revenue growth, Visualized insights using Matplotlib and Seaborn.
Data Analytics - OneRoadMap
Unknown
June 1, 2026 – Present
Python for Data Analytics
Coursera
June 1, 2026 – Present
SQL
HackerRank
June 1, 2026 – Present
Java Programming
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a good breadth of skills relevant to data analysis, including sales analysis, predictive modeling, and dashboard creation. The focus on deriving actionable insights aligns well with a business-oriented data analyst role. The certifications indicate a commitment to continuous learning. However, the lack of professional experience means cultural fit based on collaboration and adaptability in a work environment cannot be fully assessed.
Soft Skills & Operational Fit
The candidate demonstrates a motivated and proactive approach through their academic projects and certifications. The project descriptions indicate an ability to work with data to derive actionable insights, which is crucial for a Data Analyst role. However, without professional experience, the operational fit in a corporate environment and soft skills like teamwork and communication in a professional setting are yet to be validated.