SUPRIYA ATISH SHINDE
Data AnalystData Analyst with 4+ years in Power BI & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 4+ years in Power BI & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and detail-oriented Data Analyst with hands-on experience in data cleaning, analysis, and visualization. Skilled in SQL, Excel, and Power BI with the ability to extract actionable insights from complex datasets. Familiar with data visualization tools like Power BI and Tableau. Strong problem-solving skills and a passion for turning data into strategic decisions. Seeking to contribute analytical and technical skills in a dynamic, data-driven environment.
Pune University
B.com
August 1, 2007 – June 30, 2007
K.B. College
12th
June 1, 2004 – May 31, 2004
Mulund Vidya Mandir.
10th
June 1, 2002 – May 31, 2002
Kedia Advisory (Kedia Capital Services Pvt. ltd.)
Data Analyst
October 1, 2024 – Present
India
Kedia Advisory (Kedia Capital Services Pvt. ltd.)
Data Analyst
July 1, 2024 – September 1, 2024
India
Prolinea Designs Pvt. Ltd.
Accounts Executive
June 1, 2012 – July 1, 2014
India
Lookwell Branch Performance Analysis: Advance Excel Dashboard
January 1, 2024 – December 31, 2024
Analyzed operational and sales data from 25 Lookwell branches using Microsoft Excel to identify performance trends, high-performing locations, and areas needing improvement. Created dynamic dashboards and pivot tables for comparative analysis of KPIs such as sales volume, inventory turnover, and customer footfall. Findings supported strategic decisions for resource allocation and process optimization across branches.
Ghost Kitchens India Sales Dashboard
January 1, 2024 – December 31, 2024
Developed an interactive Power BI dashboard for Ghost Kitchens India to monitor and analyze sales performance across 25 branches operating in over 40 cities with 150 partners. The dashboard features key metrics including gross revenue, discounts, and net sales, alongside branch-wise and brand-level insights. Interactive visuals allow users to explore order sources, fulfillment status, and monthly trends, enabling management to identify top-performing locations and sales channels. This solution enhanced visibility into business operations and supported data-driven decision-making to optimize strategic planning and improve operational efficiency.
E-commerce Sales Dashboard
January 1, 2024 – December 31, 2024
Developed an interactive sales dashboard in Power BI to analyze and visualize key metrics for an e-commerce platform. Worked with raw data from multiple sources (Excel/CSV) and cleaned it to ensure accuracy and consistency. The dashboard included KPIs like total sales, profit, top-performing products, and customer segmentation. Used slicers, filters, and drill-down features to enable dynamic analysis across regions, time periods, and product categories. This project helped in understanding sales trends and improving data storytelling for business decision-making.
Advance Excel
Trans IT
January 1, 2024 – Present
My SQL
Trans IT
January 1, 2024 – Present
Python
Trans IT
January 1, 2024 – Present
Data Analyst course
Trans IT
January 1, 2024 – Present
Power BI
Trans IT
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including e-commerce, branch performance, and ghost kitchens, shows adaptability to different business contexts. Their recent transition into a Data Analyst role, coupled with certifications, indicates a proactive approach to skill development and alignment with data-driven cultures. The leadership experience also suggests a collaborative and impactful team member.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills and a passion for data-driven decision-making. Their experience in leading a team and delivering strategic reports indicates good operational fit and potential for leadership within a data analysis role. The 'Best Performer of the Year' award suggests a strong work ethic and commitment to efficiency.