Data Analytics with 4+ years in Python, SQL & Power BI
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 and detail-oriented Data Analytics enthusiast with a strong foundation in Python, SQL, and data visualization tools. Seeking an entry-level position to apply analytical skills and data-driven decision-making to solve real-world business problems.
Indore institute of science and technology
Bachelor of Engineering
August 1, 2011 – June 30, 2015
Sapna construction
Admin associate
January 1, 2025 – January 31, 2025
India
Innospree
customer support executive
January 1, 2024 – December 31, 2024
India
The hiring company
customer support executive
January 1, 2023 – December 31, 2024
India
Sai enterprises
assistant site engineer
January 1, 2016 – December 31, 2017
India
Amazon Sellers Data Analysis
June 1, 2026 – Present
Analyzed sales distribution based on categories, city, state, and per-day sales trends. Evaluated product performance based on size, product name, and overall revenue. Developed interactive dashboards in Power BI for better visualization of sales trends and business insights. Provided actionable insights to enhance sales strategies and optimize inventory management.
Pizza Sales Analysis
June 1, 2026 – Present
Calculated daily sales trends and total revenue generated. Segmented sales data by product type and identified the best-selling items. Performed year-wise sales analysis to understand long-term trends. Generated structured SQL reports for data-driven decision-making in business opera1aons.
Data Analytics Certification
Samyak Computer Classes
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity is limited to sales analysis. The career trajectory shows a significant pivot from engineering/customer support to data analytics, which might indicate adaptability but also a lack of direct, long-term professional experience in the target field. The listed soft skills align with a data analytics role, but practical application in a professional data context is not evident from the work history.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, attention to detail, and communication skills. However, the professional experience is largely in non-technical roles (customer support, admin associate, assistant site engineer), which does not directly demonstrate operational fit for a senior data analytics role. The project descriptions are clear and indicate an understanding of analytical processes.