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Data Analyst with less than a year in SQL, Power BI & Python
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dedicated and detail-oriented Data Analyst with a Bachelor's degree in Computer Science, driven to transform raw data into strategic business insights. Proficient in SQL, Advanced Excel, Power BI, and Python (Pandas, NumPy) with hands-on experience in data wrangling, data cleaning, exploratory data analysis (EDA), statistical modeling, and data visualization. Skilled in developing interactive dashboards, monitoring KPIs, and performing trend analysis to support data-driven decision-making and business intelligence initiatives. Strong understanding of data transformation and report automation. Passionate about delivering insights that optimize performance and improve operational efficiency.
JD College Of Engineering & Management
Masters of Computer Application
August 1, 2024 – June 30, 2026
Dr Ambedkar College
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2024
FIREBLAZE TECHNOLOGIES PRIVATE LIMITED
DATA ANALYST
September 1, 2024 – February 1, 2025
Nagpur, Maharashtra, India
Pharmacy Store Data Analysis
March 1, 2025 – March 1, 2025
Conducted end-to-end data cleaning and preprocessing on 5,000+ pharmacy sales records by addressing missing values, removing duplicates and standardizing categorical fields to ensure data accuracy and data consistency. Performed exploratory data analysis (EDA) using Python (Pandas, NumPy) to uncover business patterns such as customer purchasing behavior, seasonal sales trends, high-frequency diseases and top-selling medications. Designed interactive dashboards in Power BI to visualize key insights including sales performance by geographic area, product category analysis and supplier contribution, enhancing stakeholder visibility by around 30%. Delivered clear and actionable business insights through data visualization, KPI monitoring, and trend analysis, supporting strategic decision-making contributing to a 10-15% improvement in planning and marketing efficiency.
Online Sales
November 1, 2024 – November 1, 2024
Performed end-to-end analysis on a large-scale online sales dataset using Python (Pandas, NumPy), identifying and resolving 100% of missing records and duplicate records to ensure clean, reliable data for advanced analytics. Developed data visualizations using Power BI, Matplotlib, and Seaborn highlighting critical business metrics such as monthly sales trends, category-wise performance, geographic distribution, and time-based purchase patterns. Analyzed customer behavior and segmented top buyers and revealed that the top 9.5% of customers drove over 41.1% of total revenue, supporting targeted marketing strategies that boosted the customer engagement by 24%. Analyzed payment preferences and discovered that Bank Transfer is the most preferred payment method, resulting in a 14.5% increase in transaction processing efficiency and improved payment gateway optimization. Successfully translated complex datasets into actionable insights and interactive dashboards that enhanced decision-making across teams., accelerating stakeholder decision-making by 31% and demonstrating strong skills in data wrangling, visualization, and business intelligence to support data-driven strategy and operational growth.
UI/UX Development certification
MastCore Digital Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with the target role of Data Analyst, focusing on practical applications of data analysis skills. The diversity in project domains (online sales, pharmacy store) indicates adaptability and a broad interest in applying data analysis to different business contexts. The pursuit of a Master's degree while having practical project experience shows a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates critical thinking, detail-orientation, and decision support skills through project descriptions. Their ability to collaborate with teams (as mentioned in the internship) suggests a good operational fit. The projects highlight a results-oriented approach, focusing on quantifiable improvements (e.g., 24% boost in customer engagement, 31% acceleration in decision-making).