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Data Analyst with less than a year in data cleaning, EDA, and Power BI dashboard development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech Computer Science student specializing in Data Analytics with hands-on experience in data cleaning, exploratory data analysis (EDA), SQL querying, and Power BI dashboard development. Proficient in Python, Pandas, NumPy, SQL, Excel, and Power BI for transforming raw data into actionable business insights. Experienced in analyzing large datasets, identifying trends, and creating interactive dashboards to support data-driven decision-making. Seeking an entry-level Data Analyst role where analytical and visualization skills can contribute to business growth.
BTIRT, Sagar (RGPV, Bhopal)
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Cambridge Convent High School, Rehli
10th
N/A – May 31, 2020
Emmanuel English Medium Higher Secondary School, Sagar
12th
N/A – May 31, 2022
Customer Shopping Behavior Analysis Dashboard
June 1, 2026 – Present
Cleaned and transformed 3,900+ customer transaction records by handling missing values, creating age-based customer segments, and standardizing purchase frequency metrics. Performed exploratory data analysis and customer segmentation to identify spending patterns, repeat buyers and subscription behavior. Developed and executed 10+ advanced SQL business queries involving CTEs, subqueries, aggregations, CASE statements, and window functions to extract actionable insights. Analyzed revenue contribution across customer demographics, discount usage patterns, shipping preferences, and product performance. Built an interactive Power BI dashboard featuring KPIs, customer demographics, revenue trends, subscription analysis, and product-level insights. Generated data-driven recommendations to support customer targeting, retention strategies, and sales optimization.
Air Pollution Mortality Analysis Dashboard (WHO Dataset)
June 1, 2026 – Present
Cleaned and preprocessed WHO global air pollution mortality dataset (~30K+ records) using Pandas and NumPy by handling missing values, removing inconsistencies, and structuring data for analysis. Performed exploratory data analysis to identify mortality trends across countries, regions, and time periods. Developed interactive Power BI dashboards with KPI cards, trend analysis, and regional comparisons. Identified high-risk regions contributing to maximum pollution-related deaths through data-driven insights. Improved reporting efficiency by converting raw datasets into interactive visual analytics.
Deloitte Data Analytics Job Simulation Forage
Deloitte
April 1, 2026 – Present
Data Analytics Training
Mind Coders, Indore
September 1, 2025 – Present
Web Development Training
Smart Tech, Sagar
September 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects show an interest in diverse data analysis applications, from business (customer behavior) to public health (air pollution). This breadth indicates adaptability and a willingness to apply skills across different domains. The pursuit of certifications, including a Deloitte job simulation, suggests an eagerness to align with industry practices and a commitment to professional growth, which are positive indicators for cultural fit in a learning-oriented environment. However, the lack of team-based projects or professional experience limits the assessment of collaboration and interpersonal skills.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and skill development through certifications and personal projects. The project descriptions indicate an ability to work independently on data analysis tasks, from data acquisition to visualization and recommendation. The focus on data-driven recommendations suggests an understanding of the business impact of analytical work. However, without professional experience, the operational fit in a team environment and handling real-world project complexities is yet to be validated.