Master Data Analytics & Forensic Technology with Deloitte

Master Data Analytics & Forensic Technology with DeloitteMaster Data Analytics & Forensic Technology with Deloitte

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Fajar Rizwan

• Jul 12

I am pleased to share that I have successfully completed the Deloitte Data Analytics Job Simulation. This program offered a deep dive into real-world applications of data, allowing me to sharpen my expertise in two critical areas: Data Analysis: Applying analytical techniques to extract meaningful insights. Forensic Technology: Understanding the application of technology in investigative and forensic contexts. Completing this simulation has been a fantastic way to bridge the gap between theory and practice. I’m eager to bring these technical capabilities into my next professional challenge! hashtag#DataAnalytics hashtag#ForensicTechnology hashtag#Deloitte hashtag#DataScience hashtag#SkillsDevelopment hashtag#CareerGrowth

Advik Rathee

• Jul 14

Built this one for an e-commerce customer behavior project - 18,000+ customers, segmented using RFM (Recency, Frequency, Monetary) analysis.

The interesting part wasn't the segmentation itself, it was what it revealed: nearly 22% of customers were "at risk" of churning, and most businesses wouldn't know that until those customers had already stopped buying.

This is the kind of insight that's usually sitting in your order data already, it just needs the right lens. Happy to take a look at your numbers if you're curious what's hiding in yours.

Tools used: Power BI, SQL, Python (Pandas, Scikit-learn for clustering)

Data Modeling Data Visualization dataanalytics Python Microsoft Power BI Data Analysis

Samiya Imran

• Jul 15

Built a 4-part Power BI dashboard suite analyzing $80M+ in revenue for supply chain & e-commerce data — designed for 4 different stakeholders.

📊 Executive KPI Dashboard (VP of Supply Chain) — Revenue, profit & a 71% revenue drop identified in 2018 🚚 Delivery Performance (Procurement Team) — 54.8% late delivery rate flagged, broken down by shipping class 📦 Product & Warehouse Analysis (Warehouse Ops) — 33K SKUs across 9 warehouses, revenue vs. margin comparison 💳 Customer & Payment Insights (Finance Team) — Sentiment, review scores & payment method breakdown

Tools: Tableau, SQL, Excel, Python

Data Visualization Data Analysis Data Modeling Microsoft SQL Server pandas Tableau

pooja pal

• Jul 15

Excel Data Cleaning & Data Formatting |

Before & After Transformation Cleaned and transformed raw, unstructured employee data into a well-organized Excel spreadsheet. This project included data splitting, formatting, standardizing values, removing inconsistencies, and improving overall data quality for easy analysis.

datacleaning dataformatting dataanalytics