Project Details

📊 Empowering Sales Strategy with Excel-Based Analytics

In this impactful project, I harnessed the power of Excel Pivot Tables to develop dynamic sales reports that go beyond mere data summaries—they serve as strategic tools for business decision-makers. These reports empower organizations to:

🎯 Optimize customer discount strategies
🤝 Streamline sales negotiations
💡 Identify high-potential market opportunities

🔍 Each element of the report was carefully crafted to deliver actionable insights that elevate sales strategy, improve customer satisfaction, and fuel revenue growth.

The project showcases a blend of technical skill and business acumen.
🛠️ Core Competencies Developed

My journey through this project sharpened my skills in key areas:
🔄 Pivot Table Mastery – for deep-dive, multidimensional data analysis
⚙️ Power Query Integration – ensuring smooth, automated data loading from multiple sources

Project Details

𝗣𝗥𝗢𝗝𝗘𝗖𝗧 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪:
🔷𝗙𝗶𝗻𝗮𝗻𝗰𝗲 𝗩𝗶𝗲𝘄: Conducted P&L analysis, visualized net sales, and identified key product and customer trends.
🔷𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻 𝗩𝗶𝗲𝘄: Evaluated metrics for customers/products, analyzed sales errors, and enhanced forecast accuracy.
🔷𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗩𝗶𝗲𝘄: Delivered insights into customer/product performance, market trends, and profitability.
🔷𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗩𝗶𝗲𝘄: Presented market share growth, revenue trends, and channel insights for strategic planning.

𝗞𝗘𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚𝗦:
🔶 Developed expertise in P&L analysis and KPI creation.
🔶 Gained in-depth knowledge of the consumer goods industry.
🔶 Enhanced skills in stakeholder communication and data storytelling.
🔶 Performed advanced data extraction and transformation using MySQL and Power Query.
🔶 Built robust data models and created complex DAX calculations.
🔶 Validated datasets and ensured accuracy using Excel.
🔶 Designed optimized, interactive Power BI

Live Interactive Dashboard

Project Details

🛍️ Store Data Analyst Overview
A Store Data Analyst plays a key role in optimizing retail operations by leveraging data to enhance customer experience and boost sales performance. 📊

They work with tools like MS Excel, SQL, and Power BI to:

📦 Track inventory levels and prevent stockouts or overstocking

📈 Monitor sales trends across different time periods and product categories

📌 Generate actionable insights for data-driven decision-making

With a strong foundation in data validation, reporting, and visualization, Store Data Analysts are equipped to:

🔍 Identify key performance patterns and inefficiencies

📉 Improve inventory management and streamline supply chains

🔮 Ensure accurate forecasting for better demand planning

Project Details

Amazon Sales Dashboard in Excel 📊💻

🚀 Overview
An Amazon Sales Dashboard in Excel is a dynamic tool that tracks and analyzes sales performance on Amazon, offering real-time insights into key metrics to boost revenue and optimize strategies.

🔑 Key Features
📈 Sales Performance : Visualize daily, weekly, and monthly sales trends using charts and graphs.
🛒 Order Insights : Monitor order volume, average order value (AOV), and fulfillment status.
💰 Revenue Analysis : Break down revenue by product, category, or region for deeper insights.
📦 Inventory Tracking : Ensure stock levels are sufficient with alerts for low inventory.
⭐ Customer Feedback : Analyze ratings, reviews, and returns to identify improvement areas.
📊 Visual Reports : Interactive dashboards with slicers for filtering by date, category, or geography.
⚡ Automation : Use formulas and macros to update data efficiently.

Project Details

Wavecon is a leading telecom provider in India, recognized for its commitment to reliable, high-quality, and innovative services. With a reputation built on trust and technological leadership, Wavecon continues to shape the future of digital communication in the country. 🌐📞

🚀 In May 2022, Wavecon reached a major milestone by launching its next-generation 5G services. This strategic move signifies the company’s dedication to delivering ultra-fast, low-latency, and dependable connectivity to its customer base. The 5G rollout is designed to meet the evolving digital needs of:

📱 Individuals – by enabling seamless streaming, gaming, and real-time communication.

🏢 Businesses – by supporting smart operations, data-driven solutions, and innovation at scale.

Live Interactive Dashboard

Project Details

📌 Project Background: AtliQ Grands – Business Intelligence Implementation
AtliQ Grands, a well-established name in the Indian hospitality industry with over 20 years of legacy and a portfolio of multiple five-star properties, is currently experiencing a notable decline in market share and revenue in the luxury/business hotel segment. 📉

⚠️ Challenges Identified
Aggressive strategies by competitors 🏨

Ineffective and delayed internal decision-making 🕰️

Absence of a dedicated in-house data analytics team 🔍

To address these critical issues, the Managing Director has initiated a strategic shift toward Business and Data Intelligence as a core component of the company's turnaround plan.

🎯 Objective
Engage a third-party data analytics provider to:

🧠 Analyze historical performance and market data

💰 Optimize pricing strategies using predictive insights

😊 Enhance customer satisfaction and retention

📊 Enable informed, timely decision-making at the executive level

Live Interactive Dashboard

Project Details

📉 Customer Churn in Telecom Services
Customer churn—the rate at which subscribers discontinue their telecom services—is a major challenge for the industry. It affects monthly recurring revenue and has long-term implications for brand loyalty, operational costs, and market competitiveness.

This analytical project aimed to uncover key drivers behind customer attrition, with the goal of helping telecom providers implement effective retention strategies. 🔍📊

🔑 Key Insights Identified:

🧑‍💼 Customer Support Availability
The presence and responsiveness of customer service teams play a pivotal role in customer satisfaction. Limited support hours or unresolved issues were found to contribute significantly to churn.

🌐 Type of Internet Service
Customers using DSL or slower internet services were likelier to churn than those with fiber-optic or higher-speed alternatives. This suggests that investment in infrastructure and high-speed connectivity

Project Details

🧩 Developed an interactive Tableau dashboard to perform in-depth analysis of company performance 📊.
✅ Utilized quantitative visualizations to highlight trends, patterns, and key metrics across different parameters such as revenue 💰, customer satisfaction 😊, and operational efficiency ⚙️.
📈 Enabled year-over-year comparisons to evaluate growth and identify underperforming areas.
🔍 Derived valuable business insights that informed data-driven decision-making and helped stakeholders implement targeted solutions.
🎯 Contributed to improved strategic planning, optimized resource allocation, and better performance monitoring.

Project Details

Project Details
‎ ‎🚗 𝗢𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲:

● Grasp the current landscape of the EV market in India.
● Spot key trends and identify growth opportunities.
● Break down sales data by state, manufacturer, and vehicle category.
● Deliver actionable insights and strategies to boost AtliQ Motors' market share.


🔍 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀:

🏆 𝗧𝗼𝗽 𝗘𝗩 𝗠𝗮𝗸𝗲𝗿𝘀 (𝗙𝗬 𝟮𝟬𝟮𝟯 & 𝟮𝟬𝟮𝟰):
● 𝗢𝗟𝗔 𝗘𝗹𝗲𝗰𝘁𝗿𝗶𝗰: Leading the pack for two consecutive years, while smaller players like Jitendra and Battre Electric are struggling to keep up.

🌍 𝗧𝗼𝗽 𝗦𝘁𝗮𝘁𝗲𝘀 𝗯𝘆 𝗘𝗩 𝗣𝗲𝗻𝗲𝘁𝗿𝗮𝘁𝗶𝗼𝗻 (𝗙𝗬 𝟮𝟬𝟮𝟰):
● 𝗚𝗼𝗮: Dominates in 2-wheeler adoption!
● 𝗞𝗲𝗿𝗮𝗹𝗮: Excelling in both 2-wheelers and 4-wheelers.💥

📊 𝗤𝘂𝗮𝗿𝘁𝗲𝗿𝗹𝘆 𝗧𝗿𝗲𝗻𝗱𝘀 𝗳𝗼𝗿 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝟰-𝗪𝗵𝗲𝗲𝗹𝗲𝗿 𝗘𝗩 𝗠𝗮𝗸𝗲𝗿𝘀:
● 𝗧𝗮𝘁𝗮 𝗠𝗼𝘁𝗼𝗿𝘀: Outpacing competitors with the highest quarterly growth. 🔥

Live Interactive Dashboard

Project Details

📊 E-commerce Sales & Profit Analysis with Python 🔍
I'm excited to share insights from a recent E-commerce Data Analysis project where I leveraged Python to turn raw data into actionable business intelligence.

Here’s what I explored and uncovered using pandas, matplotlib, and seaborn:

✅ Monthly Sales Analysis

Calculated sales trends across months, identifying:

📈 Highest Sales Month

📉 Lowest Sales Month

✅ Category & Sub-Category Performance

🏆 Top-Selling Category/Sub-category

⚠️ Lowest-Selling Category/Sub-category

✅ Monthly Profit Trends

Analyzed monthly profit to uncover:

💰 Highest Profit Month

✅ Segment-wise Analysis
Investigated how different customer segments impact revenue:

🎯 Compared Sales and Profit by Segment (Consumer, Corporate, Home Office)