SULAIMON KAREEM

• Created and implemented strategic trading approaches.
• Compiled and analyzed data to determine approaches to improve sales and performance.
• Developed advanced product knowledge to share current information while generating and delivering products quotes.
• Developed and maintained strong knowledge of multiple products and varying levels of benefits within each product.
• Discussed financial options with clients and provided informed suggestions.
• Conducted research to answer questions and handle issues using multiple systems and resources.
• Networked to identify potential new clients and expand geographic territories.
• Completed trades on future energy derivatives, increasing profits 300%

• Supervised operations staff and kept employees compliant with company policies and procedures.
• Developed systems and procedures to improve operational quality and team efficiency.
• Developed and maintained relationships with external vendors and suppliers.
• Increased profit by streamlining operations.
• Introduced new methods, practices, and systems to reduce turnaround time.
• Managed over 50 customer calls per day.
• Launched staff engagement, gender diversity and cultural programs in addition to robust reporting tool that increased operational quality.
• Reduced operational risks while organizing data to forecast performance trends.
• Directed initiatives to improve work environment, company culture or overall business strategy.
• Introduced new methods, practices, and systems to reduce turnaround time

• Provided technical consulting support on projects or system issues.
• Wrote, analyzed, debugged and delivered clean, validated and maintainable codes.
• Identified conflicting business practices and integration issues to suggest alternative solutions.
• Evaluated application software packages and made recommendations to management.
• Engaged with clients to plan and optimize site issues and queries.
• Planned website development, converting mockups into usable web presence with HTML, JavaScript, AJAX, and JSON coding.
• Boosted web traffic by improving navigation and rectifying bottlenecks.
• Illustrated page design concepts by blending arrangement, style and aesthetic elements to meet predetermined preferences.

• Performed troubleshooting to correct computer hardware and software malfunctions.
• Recommended new and replacement hardware and software purchases.
• Refurbished PC systems and peripherals such as monitors, networking equipment, printers, and more.
• Tested and installed motherboards, processors, and graphics cards on desktops and laptops for corporate staff.
• Recovered critical information from data back ups to restore functionality.
• Performed installation, maintenance and repair for complex internal computer hardware and various software applications.

• Responded to inquiries from callers seeking information.
• Greeted incoming visitors and customers professionally and provided friendly, knowledgeable assistance.
• Provided clerical support to company employees by copying, faxing, and filing documents.
• Maintained office supplies inventory by checking stock and ordering new supplies.
• Created and updated physical records and digital files to maintain current, accurate, and compliant documentation.
• Delivered top-notch administrative support to office staff, promoting excellence in office operations.

WHAT I LEARN : Analyze data within a database using SQL and Python.

Create a relational database and work with multiple tables using DDL commands.

Construct basic to intermediate level SQL queries using DML commands.

Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

SKILLS GAINED : Python Programming, Cloud Databases, Relational Database Management System (RDBMS), Jupyter notebooks.

WHAT I LEARN: List basic skills required for an entry-level data engineering role.

Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines.

Discuss various stages and concepts in the data engineering lifecycle.

Summarize concepts in data security, governance, and compliance.

SKILLS GAINED : Data Science, Database (DBMS), Information Engineering, SQL, NoSQL.

WHAT I LEARN : Describe Python Basics including Data Types, Expressions, Variables, and Data Structures.

pply Python programming logic using Branching, Loops, Functions, Objects & Classes.

Demonstrate proficiency in using Python libraries such as Pandas, Numpy, and Beautiful Soup.

Access web data using APIs and web scraping from Python in Jupyter Notebooks.

SKILL GAINED : Data Science, Data Analysis, Python Programming, Numpy, Pandas.