mohammedfasi1284
About Candidate
I am a Computer Science Engineering graduate with over two years of experience in IT and software development, including roles as a Data Analyst at GlobalLogic and a Software Engineer at Mahindra & Mahindra. My expertise spans data analysis, machine learning, MySQL, Python, and data visualization. I have successfully developed innovative solutions like a Fake News Detection System and contributed to process improvements, such as optimizing data pipelines and enhancing project delivery timelines. Additionally, I hold certifications in Cisco Certified Network Essentials and Cisco Certified CyberOps Associate, reflecting my strong foundation in networking and cybersecurity.
Location
Education
Work & Experience
Data Migration. Streamlined operations and streamlined project execution by proficiently managing a technical field support team of 5; achieved a 25% increase in on-time project delivery and reduced client escalations by 40%. • Engaged in software testing and quality assurance processes, identifying and reporting bugs, and ensuring the reliability of software solutions & cms. • Orchestrated seamless MySQL upgrades for the company website, resulting in a 50% reduction in page load time and enhancing security measures, while maintaining 99.9% uptime.
Managed and analyzed a vast dataset of 80 lakhs, implementing robust data cleaning, transformation, and validation processes to ensure data accuracy and reliability. • Created and implemented comprehensive data management strategies, optimizing data storage and retrieval efficiency. • Played a key role in training AI bots by leveraging the extensive dataset, contributing to the enhancement of automated processes and decision- making capabilities. • Collaborated with cross functional teams to understand business requirements and translate them into actionable insights, aiding informed decision- making. • Implemented data visualization techniques to communicate complex findings in a clear and concise manner, facilitating better understanding across departments. • Maintained a proactive approach to identifying data quality issues and implementing solutions, resulting in improved overall data integrity.
