I'm Mahad Ahmad, a Computer Science graduate with deep experience in AI, ML, and data automation. I craft smart, scalable solutions using Python, data science, and automation to drive growth and efficiency.
My expertise spans across machine learning model development, data analysis pipelines, and AI-powered automation systems. I'm passionate about transforming complex data into actionable insights and creating intelligent systems that enhance business operations.
With a strong foundation in computer science and hands-on experience across various industries, I bridge the gap between technical implementation and business objectives to deliver measurable results.
At Salahuddin Softtech Solutions Bahrain, I was instrumental in developing a diverse portfolio of solutions that tackled complex operational challenges and enhanced digital capabilities. This included pioneering an Automated Invoice Generation System, a project that demanded meticulous attention to detail in programmatic document formatting and dynamic data integration to produce highly accurate, professional .docx outputs, significantly streamlining financial workflows. Concurrently, I undertook the critical initial phase of a Data Visualization Dashboard, involving the challenging task of consolidating and preparing disparate business datasets from sales registers to payment records to lay the groundwork for insightful analytical reporting. Furthermore, I engineered an advanced Voicebot Conversational AI system for a medical center's customer service, a unique endeavor that required sophisticated integration of AI models (including Eleven Labs for natural voice synthesis) to handle complex query automation, thereby pushing the boundaries of interactive patient support..
Managing warehouse operations for CAM 2 and Eiffel engine oils and car batteries, utilizing Odoo ERP for comprehensive inventory control, procurement tracking, and logistics optimization. Leveraged Power BI and Tableau for real-time data analysis, enabling precise sales forecasting, stock level monitoring, and supply chain efficiency. Integrated AI-driven marketing tools to enhance product campaigns, optimize customer targeting, and drive sales growth through predictive analytics and automated marketing strategies. Improved operational workflows with automated reporting and data-driven decision-making, ensuring efficiency and scalability.
Developed a rule-based chatbot integrated with Llama and OpenAI APIs to enhance user experience on ICIEC’s (Islamic Corporation for the Insurance of Investment and Export Credit) website. Technologies Used: Python, OpenAI API, Llama, Vector Databases, GPU Acceleration Key Contributions: Integrated Llama and OpenAI APIs for contextually accurate responses. Used vector databases and embeddings for improved query matching. Optimized model performance with GPU acceleration for real-time interactions. Designed Python-based solutions for seamless chatbot functionality. Challenges & Solutions: API Integration: Developed a custom pipeline for synchronized API calls with minimal latency. Query Performance: Used vector databases and fine-tuned embeddings for faster query retrieval. GPU Optimization: Implemented batch processing and parallelization with CUDA to reduce inference time.
Key Responsibilities - Analyzed sales, customer behavior, and KPIs for leather product optimization - Built dashboards with Tableau and Google Data Studio - Developed predictive models with Python and scikit-learn - Conducted market analysis and A/B testing Achievements - Improved forecasting accuracy by 25% - Increased conversion rates by 15% - Boosted repeat purchases by 20% - Contributed to 30% revenue growth Technologies Used - Shopify APIs - Tableau - Python (Pandas, NumPy, scikit-learn) - SQL - Power BI - Google Analytics - Klaviyo
Implemented end-to-end machine learning solutions from data collection to model deployment in production environments.
Advanced certification in designing Software with complex problem-solving
Certificate for Solving complex SQL Problems in real world problems
Certified in both intermediate and basic SQL, demonstrating proficiency in database querying and management.
Comprehensive education in computer science fundamentals with specialization in artificial intelligence and data science.
Developed a hybrid chatbot solution combining LLaMA and OpenAI models for enhanced financial advisory services.
Created automated data pipelines for real-time sales tracking and inventory management with predictive analytics.
Built machine learning models to predict customer behavior and optimize marketing strategies for ecommerce platforms.
I'm currently available for freelance projects and full-time positions. Feel free to reach out for collaborations or just to say hello on my whatsapp , anytime !