I'm Waleed Tariq, a tech-savyy Data and an IT Business Analyst with a proven track record of success in data-driven transformation. For over 6 years, I've thrived at Fortune 500 companies in Financial Services and Retail. There, I wielded the power of data to support product development, automate processes, drive efficiency, and ultimately propel business growth.
My expertise lies in untangling complex systems and making them sing. I have a keen eye for detail and a talent for translating business needs into actionable data solutions.
I have also spearheaded the development of a Centralized Internal Compliance Tool, which significantly reduced operational inefficiencies by 50% in a retail giant, while also implementing data warehousing solutions using Python, SQL, and Power BI, saving a team of 40 people 80 hours a month! In addition, some of my work also includes:
• End-to-End Data Engineering Project on Azure Cloud (Microsoft Azure, Azure Data Lake, Databricks, Azure Data Factory, Azure Synapse Analytics)
• Automating Exploratory Data Analysis (EDA) (Python, Jupyter Notebook)
• Queue Management System for Mergers & Acquisitions (Microsoft Access, Excel & SQL Server Management Studio)
• Departmental Performance Database – Mergers & Acquisitions (Microsoft Access, Excel & SQL Server Management Studio)
• Designing a Data Warehouse for a Retail Business & Modelling It (Microsoft SQL Server Management Studio)
• Control Dashboard – Foreign Profits (Microsoft Power BI)
• Internal & External Stakeholders Query Resolutions in collaboration with IT, Sales & Client Outreach teams
• Manual Journals Internal Controls Automation Through Dashboards (Microsoft Power BI)
• Loan Classifications & Movements Analysis Dashboard (Microsoft Power BI)
• Greenhouse Gas Emissions for Nordic Countries: Business Intelligence & Machine Learning Project (Python - Awarded Distinction)
• Business Requirements Document for a Volvo Construction Arm Focusing Telematics Gateway
• Financial Risk Simulation with R Programming (R Studio)
• Visual Insights into IKEA’s Order Management System (Microsoft Power BI)
• Text Mining & Natural Language Processing with Python (Python)
• Predicting The Stock Market With Machine Learning & Python (Python & Jupyter Notebook)
• Descriptive Analytics in Data Driven Decision Making using Unsupervised Machine Learning (Python)
• Predictive Analytics in Data Driven Decision Making using Supervised Machine Learning (Python)
• Data Analysis for Performance Ranking Dashboard (Microsoft Excel – Power Query & Power Pivot)
• Investigating the Impact of Air Pollution, Meteorology, & Human Mobility on Excess Deaths during COVID’19 in Quito (R Studio)
• Heart disease investigation using Python libraries (Python & Jupyter Notebook)
• Loan Status Prediction using Machine Learning with Python (Python & Jupyter Notebook)
I am also very interested in Cloud Depolyments and Data Engineering. Now, I'm energized by the prospect of leveraging my technical and communication skills in the fast-paced world. My fluency in both technical aspects and clear communication makes me a valuable asset to any team.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent