Passionate professional dedicated to leveraging data in roles such as Data Analyst 📊,MIS Analyst Business Analyst 📈, Power BI Developer 💻, Data Engineer 🔧, and my favorite, Data Scientist 🧑‍🔬. I focus on transforming complex data into actionable insights to drive impactful decisions.

I’m passionate about:

• Harnessing Data: Transforming raw data into meaningful insights and solutions.
• Exploring Trends: Identifying patterns and trends to drive strategic decisions.
• Data-Driven Storytelling: Creating compelling visualizations that translate complex data into actionable narratives.

• Data Analysis:

• Data Visualization:

• Microsoft Excel Skills:

• POWER BI:

• Programming:

• Business Analytical Skills:

• Machine Learning:

• Deep Learning:

• Cloud Computing (AWS, Azure):
• Generative AI:

  Skills in Focus

• SQL: Advanced query techniques and database management. (Using HackerRank and SQLZOO, LeetCode)
• Power BI: Dashboard creation and data visualization.
• Microsoft Excel: Advanced data manipulation and visualization techniques.
• Data Analysis: Applying analytical methods and tools to extract actionable insights from data using a real dataset

I’m looking to collaborate on:

• 1.Fraud Detection in Financial Transactions:DATASET
• 2.Credit Risk Management using SQL,Python,Power BI(real bank dataset)

• Project1.Financial Loan Analysis Using Microsoft Excel

This project involves:

• Data Preparation & Feature Engineering: Cleaned data, added new columns, and transformed features for a detailed analysis.
• Visualization & KPI Analysis: Created pivot tables, charts, and dashboards to visualize metrics and identify key performance indicators.
• Decision Support: Extracted critical data points to aid financial decision-making.
• Link to Project

• Project 2: Fraud Detection in Financial Transactions:

• Tools: Python,SQL,Scikit,Matplotlib,Seaborn,Machine Learning ,Evaluation
• Link to Project

• Project 3: Walmart Sales Analysis using SQL

• Objective: Uncovered insights into sales performance, product trends, and branch efficiency.
• Key Tasks:
  • Cleaned and summarized sales data to highlight top products and branches.
  • Visualized sales trends and KPIs through dashboards.
• Insights:
  • Identified top-selling items and seasonal trends.
  • Analyzed branch performance, offering recommendations for inventory and sales strategies.
• Link to Project

• Project 4 :S-Mart: E-commerce Sales Analytics Dashboard Project 2024

• S-Mart, a local store in Pune, aims to optimize operations by analyzing customer purchasing patterns and sales performance. This project leverages Power BI to identify best-selling products, busiest shopping hours, and key customer demographics, helping S-Mart enhance inventory management, marketing strategies, and overall profitability.

This project presents a financial loan analysis dashboard built using Microsoft Excel. The dashboards provide insights into loan disbursements, repayments, and customer segmentation for enhanced decision-making.

• Summary Dashboard: Displays key metrics on loan approvals, repayments, and interest rates.
• Overview Dashboard: Offers detailed loan performance trends and customer segmentation.

Customer Churn & S-Mart Store Ecommerce Dashboards

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Stock Analysis: Adani Enterprises Ltd. (2024) Using Power BI

📫 How to Reach Me

😄 Pronouns

• Her

⚡ Hobbies

• Reading: Best book ever read - You Can Win by Shiv Khera
• Cooking
• Chess

🏆 Achievements🎉

• 3x Top LinkedIn Voice
• 5th Finalist in International Paper Publications
• Naukri Badge in SQL

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🎉 Fact About Me

"Dedicated to completing every task I start with full effort." Data Detective

Parimal Autade's GitHub Profile

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📊 Data Analysis in Action

Data Visualization & Storytelling - Understanding data, creating visualizations, and taking actionable insights.