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Data Science with 3+ years in MIS, Business Intelligence, and Data Visualization.
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Assessing your cultural and operational fit
Rutuja Bannore is an accomplished professional with 3.3 years of experience in MIS, data analysis, and environmental management. Skilled in SQL, Tableau, Power BI, and advanced Excel, Rutuja excels at generating actionable insights from complex datasets. Her background includes preparing technical proposals, ensuring data accuracy for compliance reports, and developing interactive dashboards to support strategic decision-making.
Shri Shivaji Science College, Amravati
Master of Science
August 1, 2019 – June 30, 2021
Shri Shivaji Science College, Amravati
Bachelor of Science
August 1, 2016 – June 30, 2019
13 realtors
MIS Executive
March 1, 2026 – Present
Pune, Maharashtra, India
Clean Aquato Pvt Ltd
Proposal Engineer
March 1, 2025 – March 1, 2026
Pune, Maharashtra, India
Environmental Resources Management Corporation
Environmental Executive
February 1, 2023 – February 1, 2025
Pune, Maharashtra, India
Chocolate- Sales Analysis Data
June 1, 2026 – Present
Identified top 25% revenue-generating items and compared them against lower percentile groups for strategic focus. Built interactive visuals to highlight sales contribution share per percentile band across regions and categories. Designed KPIs benchmarking current performance against percentile thresholds for goal tracking and decision-making. Delivered insights enabling data-driven prioritization of high-growth SKU clusters in upper percentile brackets.
View ProjectTelco Customer Churn Data
June 1, 2026 – Present
Tracks sales performance of chocolate products across multiple regions. Visualizes 25 salespeople, comparing them by revenue, boxes sold, and profit margin. Displays top performers such as Barr Faughny, Ches Bonnell, and Brien Boise. Shows total profit of 31,518.49M, giving a high-level business overview. Uses bar charts, treemaps, and line charts for interactive storytelling. Includes monthly sales trends to understand seasonal fluctuations and sales growth/decline. Breaks down profit by geography (APAC, Europe, Americas) for regional insight. Provides filters for individual salesperson analysis. Highlights profit distribution and contribution percentage across each sales representative. Helps management identify top contributors, low-performing areas, and improvement opportunities.
View ProjectSales Data Analysis & SQL Reporting Project
June 1, 2026 – Present
Designed and cleaned a multi-table sales dataset (Customers, Products, Orders, Order_Items) with 1,000+ records using Excel, handling missing values, duplicates, and data formatting issues. Built and normalized MySQL database schema with primary/foreign keys and imported structured CSV data using MySQL Workbench for relational analysis. Performed SQL queries including JOINS, GROUP BY, aggregations, subqueries, and CASE statements to generate business insights like revenue trends, customer behavior, and product performance. Created analytical reports and dashboards to evaluate sales KPIs such as total revenue, category-wise sales, top customers, and order status metrics for decision-making.
Oracle Cloud Infrastructure 2025 Certified Data Science Professional
Oracle Cloud
June 1, 2026 – Present
Data Visualization and Analysis
G-TEC JAINx Education
June 1, 2026 – Present
Canon Photography
Canon
June 1, 2026 – Present
Wildlife - Eco Tourism Photography
Dr. Gajanan Wagh
June 1, 2026 – Present
Software Testing
Credence Institute
February 1, 2022 – August 1, 2022
GIS Certificate
Shri Shivaji Science College
October 1, 2018 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales analysis to customer churn and SQL reporting, indicates a broad interest in applying data science across different domains. Their experience in various roles (MIS Executive, Proposal Engineer, Environmental Executive) shows adaptability and a willingness to learn new industry contexts. The pursuit of a Data Science Professional certification aligns well with a growth-oriented culture. However, the current professional experience leans more towards data reporting and MIS rather than advanced data science modeling or machine learning, which might require a cultural shift towards more experimental and research-driven work.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through maintaining MIS reports, managing large datasets, and ensuring data accuracy. Their experience in coordinating with various teams (sales, CRM, GRE) and automating reporting formats suggests good operational fit and efficiency. The resume also lists soft skills like Communications, Focus, Team Management, and Adaptability, which are crucial for collaborative data science roles.