Ali Habib

• Performed Data cleansing for conventional oil wells using the PPDM Standards
• Defined optimal data models to extract Petroleum & Diesel consumption across Chevron Distribution Outlets
• Created Tableau Data visualization for delivery timelines for Upstream, Midstream and Downstream operations across Houston Area
• Implemented complex SQL Filters for Business Analysis
• Worked alongside with SME’s for enforcing Upstream Data Quality Management
• Devised data correction dictionary for missing Oil Well Data of 1910-30 period

• Continuous Data Analysis for the Google-Citibank fallback check system for consolidating worldwide G-Card Transactions (Monthly & Daily)
• Finding & reporting large outlier transactions, not accountable to company. Implemented system alerts on such through message streams
• Sentiment analysis for Google Products on Playstore
• Improvised existing ML algorithms to work together & drastically cut down on Application Performance
• Created APEX Visual Prototypes for Credit Management Tasks on Office Hardware Purchases
• Part of Web Automation Team, testing event streaming of sensor data from IOT devices
• Performance tuning of complex SQL Queries used in Intranet Google cloud applications
• Integrated Concur system with custom API’s, of the fallback system
• Received appreciation for POC on Chatbot implementation used in Reports Dashboard for Leadership Team

• Improvised Data Quality of JPMC Trade Processing Systems and working with partner banks to standardize Data & Asset Management Operations of large Corporation Accounts
• Analyzed workflow of large transactions to improvise loan release time
• Working with change management to ensure product documentation, including user guides, implementation guides & product information
• Managed Business Information Repositories containing Trading Datasets, generated and developed sampling datasets for Junior Data Analysts
• Prepared drill down reports & developed SQL Queries for Regulatory Compliance
• Data Funneling for product surveys amongst Tele Callers & Customer done as part of Trade Lifecycle

• Used quantitative data & machine learning algorithms to optimize & predict the Tariff changes for Port Operations, further utilizing it to derive the data model of first Automated Billing used at Organization Level. Saving massive amount of time in Invoice Generation Levels. Feature currently implemented in MARSA, an AD Ports Marine Service App
• Gave the idea of MARGO Warehouse Application based on Marine Trading Data Analytics to showcase strategic importance of an in-house product to the leadership team. The implemented idea contributed to 5% increase in Annual Profits
• Experience in working with Oceanographic Data, using OpenCV
• Web scraped vessel tracking information for Sanitation Portal from real-time Application layer Data, used for data insights on Marine Services.
• Worked with Financial Team to construct exemptions for E-Billing Application, a strategic tool used to saturate billing for proper customer segmentation
• Developed for self, a custom script using Pandas & MatPlotLib library creating Data Visualization Charts for Finance Team by feeding CSV’s extracts of Marine Operations Data generated by MARSA (a Subsidiary). The script has add-on to generate own filters as SQL Business Rules to filter unwanted data