Data Science with 2+ years in Excel, SQL, Python, and Power BI for generating business insights.
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Fresher Data Analyst with hands-on project experience in Excel, SQL, Python (Pandas, NumPy), and Power BI - the core tools required by Polluxa. Skilled in data collection, cleaning, and analysis; building interactive data visualization dashboards; performing exploratory data analysis (EDA); tracking KPIs; and generating clear business insights. Familiar with Google Data Analytics concepts through structured coursework in data analysis, statistics, and business reporting. Strong analytical thinking, attention to detail, and ability to work independently in a remote environment.
Career 247
Program · Data Analytics
August 1, 2025 – Present
Udai Pratap College Mahatma Gandhi Kashi Vidyapith
B.Sc. · Agriculture
August 1, 2019 – June 30, 2023
Bicycle Retail Business
Business Operations Associate
January 1, 2023 – December 31, 2024
Varanasi, Uttar Pradesh, India
Customer Behaviour Analysis
June 1, 2025 – Present
Cleaned and analyzed customer datasets using Python (Pandas, NumPy); performed exploratory data analysis to identify purchasing patterns, behavioral trends, and revenue anomalies. Applied RFM segmentation and Pareto analysis to classify customers by value tier; generated data-driven retention and business recommendations presented in a structured analytical report.
View ProjectSales Performance Analytics Dashboard
June 1, 2025 – Present
Collected and cleaned multi-source sales data; built an interactive Excel dashboard using Pivot Tables, XLOOKUP, VLOOKUP, and slicers to track and visualize KPIs - revenue, units sold, and average revenue per customer. Performed EDA to identify regional and category sales trends; segmented customers by age and gender to surface high-value groups; documented and presented findings as actionable business insights.
View ProjectAirline Performance Dashboard
June 1, 2025 – Present
Cleaned and validated raw datasets using SQL; built interactive Power BI dashboards to visualize operational KPIs, performance trends, and business metrics. Identified performance patterns and anomalies from data visualizations; presented findings through clear, structured visual reports - practising remote-ready analytical communication.
View ProjectCultural Fit Analysis
The candidate's projects show a good breadth of data analysis applications, from sales performance to customer behavior and airline operations. The ongoing Data Analytics program indicates a commitment to continuous learning and skill development. While the target role is Data Science, the current experience is more aligned with Data Analytics, suggesting a potential gap in advanced statistical modeling or machine learning, which might require additional upskilling for a senior Data Science role. The experience level (2) aligns with a junior to mid-level role, not senior Data Science.
Soft Skills & Operational Fit
The candidate demonstrates strong data discipline, attention to detail, and reporting habits from their work experience. Their project descriptions highlight an ability to present findings clearly and practice remote-ready analytical communication. The professional summary also mentions strong analytical thinking and ability to work independently, which are crucial for remote roles.