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Data Analyst with less than a year in SQL, Python, and Power BI through real-world projects.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in SQL, Python, Excel, and Power BI through real-world projects and industry-led virtual experiences. Skilled in data cleaning, exploratory data analysis, dashboard development, and transforming raw data into actionable business insights. Built end-to-end analytics projects involving customer segmentation, sales analysis, and business performance evaluation. Passionate about solving business problems using data and continuously learning modern analytics tools.
Sinhgad Institute of Technology, Lonavala, Pune
Bachelor of Electrical Engineering · Electrical Engineering
August 1, 2017 – June 30, 2020
Savitribai Phule Pune University
Bachelor of Electrical Engineering · Electrical Engineering
August 1, 2017 – June 30, 2020
Forage - Quantium
Data Analytics Virtual Experience Program
January 1, 2026 – June 1, 2026
India
Ecommerce Sales Analytics Dashboard
January 1, 2026 – June 1, 2026
Analyzed ecommerce sales, customer, product, and delivery data using SQL joins, aggregations, and business logic to generate analytical datasets. Performed RFM (Recency, Frequency, Monetary) customer segmentation to identify high-value, loyal, and at-risk customer groups. Built an interactive ecommerce analytics dashboard using Python, Streamlit, and Plotly to monitor revenue trends, category performance, customer segments, and delivery KPIs. Designed interactive dashboard components using HTML/CSS and Streamlit to improve usability and business reporting.
Sales Dashboard for Regional Performance
January 1, 2026 – June 1, 2026
Processed and analyzed 25,000+ sales records using SQL joins, aggregations, and data transformation techniques. Built interactive Power BI dashboards with KPIs, DAX measures, and drill-down reports to monitor regional sales performance. Identified regional sales trends, top-performing products, and revenue patterns to support data-driven business decisions.
Retail Analytics Virtual Experience
Forage (Quantium)
June 1, 2026 – Present
Data Analyst Certification
ARC Technologies, Nagpur
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's engagement in virtual experience programs and personal projects indicates a self-starter attitude and a strong interest in the data analytics domain. The diversity of tools used (SQL, Python, Power BI, Excel, Streamlit) shows adaptability and a willingness to learn new technologies. The focus on business problem-solving (customer segmentation, sales performance) aligns well with a results-oriented data team culture. However, the lack of professional work experience beyond virtual internships means the candidate's ability to collaborate in a corporate setting is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying data analytics skills through personal projects and virtual experience programs. The project descriptions indicate an ability to translate business problems into analytical solutions and present findings effectively through dashboards. The focus on end-to-end analytics projects suggests good problem-solving and project management potential within a data-driven environment.