Miran Mohammed Rashid

• Extracted insights from customer data for sales promotions and strategy adjustments; implemented segmentation and churn prediction models. • Developed automated data mining for downtime prediction, device failure forecasting, and network traffic anticipation; enhanced network reliability. •Conducted market research to align with technological trends; collaborated with stakeholders and the development team to implement new technologies. • Created automated dashboards for various teams.

• 540 hours of programming practice with self-development • Tools: Python, Pandas, SQL, Tableau, Git/ GitHub, APIs, exploratory data analysis, data visualization, agile methods, pair programming.

Managed accounts receivable, accounts payable, and payroll. Ensured accurate and efficient accounting processes. Audit and approve purchase orders, invoices, bills, statements, and similar records. •Regularly draft and enforce accounting policies and procedures for all departmental budgeting. •Prepare and monitor monthly budget and other financial reports. Maintained extensive commission spreadsheets for sales representatives.

• Led and instructed the sales team to maximize performance and profitability as result, enhanced sales by 30% • Established professional sales presentations and seminars to demonstrate product features and competitive advantages clearly • Reviewed team sales performance and generate key reports for weekly, monthly, and quarterly meetings

The course is sponsored by Bosch AI Talent Accelerator. Core Modules: (Supervised and Unsupervised learning, Deep learning, Software engineering for data scientists, Data engineering for data scientists, Computer vision)