Freelancers using Microsoft Power BI in MumbaiFreelancers using Microsoft Power BI in Mumbai
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Abu Aasif Ansari's avatar
Abu Aasif Ansari
Bhiwandi, India
I build AI agents & internal tools that act on data
12
Followers
I build AI agents & internal tools that act on data
Cover image for Superstore Sales Dashboard — 3-Page
Superstore Sales Dashboard — 3-Page Power BI Report Built an interactive 3-page Power BI dashboard using the Superstore Sales dataset (9,994 orders across USA). Page 1 — Sales Overview: KPI cards, monthly trend, regional breakdown, category performance. Page 2 — Product Performance: Top products, category donut, profit analysis, sales vs profit scatter. Page 3 — Customer & Shipping: Segment breakdown, top 10 customers, monthly growth, ship mode distribution. Tools: Power BI, DAX, Superstore Dataset Theme: Dark professional with interactive year filter.
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Cover image for Sales, Customer & Marketing Analytics Dashboard Project
Sales, Customer & Marketing Analytics Dashboard Project
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Cover image for I’m a Data Analyst specializing in cleaning, structuring, an...
I’m a Data Analyst specializing in cleaning, structuring, and analyzing marketing and sales data using Python, Excel, SQL, and Power BI. I help businesses fix broken data pipelines, resolve formatting issues, and turn raw data into accurate dashboards that support decision-making. My work focuses on clarity, reliability, and scalability—ensuring reports remain consistent as data grows. If you’re struggling with inconsistent data or dashboards that don’t reflect reality, I can help streamline the process end-to-end.
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Cover image for Sales, Customer & Marketing Analytics in Power BI I built a ...
Sales, Customer & Marketing Analytics in Power BI I built a complete 3-page Power BI dashboard to analyze Sales performance, Customer behavior, and Marketing ROI—all in one place. 🔍 Sales Overview Revenue trends & top product categories Total Sales, Orders & Average Order Value Region-wise and payment method analysis 👥 Customer Insights New vs Returning customers Customer Lifetime Value (LTV) by region Purchase frequency & repeat behavior using DAX 📈 Marketing Performance Spend vs Revenue across Paid Ads, Social, Referral, Influencer/UGC, Email & Offline Clear ROI comparison to identify winning and underperforming channels 🛠 Tools Used: Power BI, SQL, DAX, CSV 💡 Outcome: This project shows how combining Sales, Customer, and Marketing data helps businesses make faster, smarter decisions.
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Microsoft Power BI(6)
Mahesh Khedekar's avatar
Mahesh Khedekar
Mumbai, India
Analytical, MIS and Expert in automating reports
New to Contra
Analytical, MIS and Expert in automating reports
Cover image for Data Analyst & Power Platform
Data Analyst & Power Platform Specialist 📍 Mumbai, India | 📞 +91 7021027927 | ✉️ maheshkheder329@gmail.com (mailto:maheshkheder199@gmail.com) Analytical and results-driven Data & MIS Specialist with 5+ years of experience optimizing reporting frameworks, automating complex workflows, and designing business intelligence solutions in the financial and insurance sectors. Skilled in transforming raw data into actionable insights using Power BI, SQL, Advanced Excel (VBA), and Power Automate. Recognized for delivering end-to-end data pipelines, custom approval workflows, and robust financial models. Core Capabilities & Technical Toolkit Business Intelligence & Dashboards: Power BI (Expert DAX, Power Query, Dynamic RLS), SAP BO, Trend & P&L Analysis Database & Data Architecture: SQL (Data Modeling, Query Optimization, Joins, Data Validation), Dataverse, SharePoint Lists Process Automation: Excel VBA Macros, Power Automate (Multi-stage Approval Workflows, Data Integration) Analytics : Data Cleaning, Data Reconciliation, Python (Data Processing & Visualization)
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Cover image for Integrating modern automation into daily
Integrating modern automation into daily business operations serves as a catalyst for eliminating repetitive manual overhead, drastically reducing human error, and accelerating critical decision-making cycles. By leveraging structured workflows through tools like SQL, Excel VBA macros, Power BI dashboards, and custom Python automation scripts, organizations can transform complex, fragmented datasets into dynamic, real-time reporting systems. Rather than spending valuable hours manually aggregating reports, cleansing raw data, or cross-referencing records across disparate databases, automated pipelines seamlessly process and visualize key metrics in real time. This operational shift not only enhances operational speed and analytical precision across functions like MIS and performance tracking, but it also frees up core team members to focus on high-impact strategic initiatives and proactive business growth. Name - Mahesh Narendra Khedekar Contact No -(+91) 7021027927 [fast responce Conntact with whatapp] Email ID - maheshkhedekar329@gmail.com
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Cover image for Monthly Reinsurance Premium and Claim
Monthly Reinsurance Premium and Claim Register The Monthly Reinsurance Premium and Claim Register is an advanced Excel-based reporting and administration engine tailored for insurance operations, treaty accounts, and claims management. Designed to handle high-volume bordereaux files, this solution automates premium allocations, cession calculations, and claims recovery tracking across complex reinsurance treaties. By replacing manual spreadsheets with automated Power Query models, dynamic lookup formulas, and VBA macro pipelines, the system eliminates human calculation errors, prevents recovery leaks, and standardizes disparate insurance data streams into unified master logs. Key features include automated validation algorithms to flag cessions discrepancies, real-time tracking of paid versus pending claims, and interactive executive dashboards for audit readiness. Whether processing proportional treaties, excess of loss accounts, or monthly bordereaux statements, this workflow cuts monthly closing timelines by up to 80%. It delivers complete, transparent data lineage, robust audit trails, and zero-error execution for finance, underwriting, and reinsurance operations teams.
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Cover image for Data Entry Specialist / MIS
Data Entry Specialist / MIS Data Analyst The primary objective of this project was to overhaul, digitize, and standardize a large volume of unstructured operational and product data across multiple platforms. The client required structured database entry, cross-platform synchronization, and error-reconciliation across inventory records, customer profiles, and transaction logs. By implementing strict validation controls and structured entry templates, the project eliminated manual transcription errors, streamlined monthly reporting cycles, and ensured 99.8% data accuracy across all core business systems. Key Responsibilities & Scope of Work 1. Data Processing & Database Entry 2. Data Cleaning & Reconciliation 3. Workflow Automation & Efficiency 4. Quality Control & Reporting more infomation contact to (+91) 70210272927/maheshkhedekar199gmail.com
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Microsoft Power BI(5)
Manigandan Acharya's avatar
Manigandan Acharya
Mumbai, India
Data Specialist for Clean, Organized & Smart Reports
New to Contra
Data Specialist for Clean, Organized & Smart Reports
Cover image for 🏦 Bank Loan Portfolio Analysis
🏦 Bank Loan Portfolio Analysis | Power BI Dashboard Project Analyzed 38,576 loan records across 50 states to give a bank's lending division a unified view of portfolio health — something they simply didn't have before. What the data revealed: ✅ Net-positive portfolio: $435.8M disbursed, $473.1M recovered ⚠️ 13.8% bad loan rate = $28.25M net capital loss 📊 Debt consolidation drives nearly half of all loan applications ⏳ 73% of borrowers chose 60-month terms over 36-month 📍 60%+ of repayments concentrated in just 5 states (CA, NY, FL, TX, NJ) Tools used: PostgreSQL → Excel → Power Query → Power BI + DAX Built two interactive dashboards: → Summary: KPI cards, good vs. bad loan segmentation, loan status grid → Overview: Trends, geographic maps, term/purpose/employment breakdowns The next phase? Building a predictive risk scoring layer using DTI, interest rate, and employment length to flag at-risk loans before they default. Open to feedback from data folks in the community 👇 #PowerBI #DataAnalytics #SQL #DAX #BankingAnalytics #PortfolioAnalysis #DataVisualization
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Cover image for Every hospital generates thousands of
Every hospital generates thousands of data points daily but without the right lens, it's just noise. Built this Healthcare Analytics Dashboard to turn patient records into decisions. From tracking $1.4B in revenue across admission types to spotting a consistent dip in monthly billing trends the numbers tell a story most teams never get to read. The insight that stood out? Diabetes and Obesity quietly lead revenue by medical condition which says a lot about where healthcare demand is heading. This is what data visualization is actually for not prettier reports, but faster, clearer thinking. Tools: Power BI · DAX · PostgreSQL · Power Query
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Cover image for I Built a two-page Power
I Built a two-page Power BI dashboard on 190K+ FMCG transactions — tracking revenue, SKU performance, promotional impact, and delivery across 3 channels and 3 regions. Uncovered a balanced 33% revenue split across all channels and identified the top 3 revenue-driving SKUs for smarter inventory decisions. Tools: Power BI · DAX · Excel
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Cover image for 📊 Sales Tracking Dashboard |
📊 Sales Tracking Dashboard | Excel + Power BI Project Built an end-to-end interactive Sales Tracking Dashboard covering 2021–2024 across the entire US market. Top-Line Numbers: 💰 Total Sales: $19,28,888 📈 Total Profit: $2,47,962 👥 Total Customers: 8,314 across all years What the dashboard reveals: 🏆 Best-selling sub-categories: Phones ($2,79,464) and Chairs ($2,77,058) lead the pack — together accounting for nearly 29% of all sales 📅 Profit growth year-on-year: → 2021: $49,556 → 2022: $61,618 → 2023: $81,786 — consistent upward trajectory across Furniture, Office Supplies & Technology 🗺️ Geographic concentration: California dominates at $3,90,145 in sales. New York ($2,46,517) and Texas ($1,51,436) follow. West Virginia sits at the bottom with just $536 — a clear signal for regional strategy review. 📦 Technology drives profit — highest-margin category across all 4 years, despite Furniture holding significant volume 🧾 Seasonal trends: Q4 is king — November ($2,34,013) and December ($2,41,464) are the strongest months. February dips to just $59,640 — opportunity for targeted campaigns. 👤 Top customer by profit: Tamara Chand at $8,981, followed by Raymond Buch ($6,939) and Sanjit Chand ($5,757) Tools used: Microsoft Excel · Pivot Tables · Power Query · Charts & Slicers · Dashboard Design This project sharpened my ability to turn raw transactional data into a clean, decision-ready visual — with filters for state, date, year, sub-category, and month. Open to feedback! 👇 #Excel #DataAnalytics #SalesDashboard #DataVisualization #BusinessIntelligence #MicrosoftExcel #DashboardDesign
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Microsoft Power BI(3)
Arsal Khan's avatar
Arsal Khan
Mumbai, India
"From Data Chaos to Business Clarity."
"From Data Chaos to Business Clarity."
Cover image for Coffee Shop Sales Analysis
Coffee Shop Sales Analysis
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Cover image for Financial Report
Financial Report
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Cover image for Human Resources (HR) Report
Human Resources (HR) Report
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Microsoft Power BI(2)
Rajendra Behera's avatar
Rajendra Behera
Mumbai, India
Next.js Full Stack Developer | Data Analyst
Next.js Full Stack Developer | Data Analyst
Cover image for Power BI End-to-End with DAX
Power BI End-to-End with DAX
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Cover image for Rajendra-65/socialMediaWebApp
Rajendra-65/socialMediaWebApp
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Rajendra-65/rajendra-portfolio-latest
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Microsoft Power BI(1)
Excel Academy's avatar
Excel Academy
Mumbai, India
An Excel Expert - Specializing in Data Analysis
An Excel Expert - Specializing in Data Analysis
Cover image for Need excel reports created to run my small business
Need excel reports created to run my small business
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Cover image for Autocad drawing
Autocad drawing
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Cover image for Excel Assesssment
Excel Assesssment
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Microsoft Power BI(1)
Aniket More's avatar
Aniket More
Mumbai, India
Data Science/Analysis, Excel, Python, Power Bi, Scikit learn
Data Science/Analysis, Excel, Python, Power Bi, Scikit learn
Cover image for This is a practice project I worked on to exclusive on power...
This is a practice project I worked on to exclusive on power bi to make a simple dashboard to have an interactive visual, with date sliders. With metrics like revenue per passengers, and passenger by date
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Cover image for Hello All, Below is a sample Dashboard for a sales data prep...
Hello All, Below is a sample Dashboard for a sales data prepared using excel. It uses data visualizations in excel and interactive slicers to modify the visuals.
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Cover image for Here is the Capstone project I have got hands on experience ...
Here is the Capstone project I have got hands on experience on while completing professional certification course. It web Scrapes data from web for falcon rockets and builds a predictive model using machine learning algorithm using scikit learn model
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Cover image for Below is an interactive web based dashboard, using Python pa...
Below is an interactive web based dashboard, using Python pandas, plotly dash. The graphs are interactive and gets updated automatically using the drop down provided.
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Microsoft Power BI(1)