Abishek Narayanan

Results-driven Software Engineer with expertise in data analysis and web development. Demonstrated success in ensuring high-performance solutions through collaboration with diverse teams. Proficient in researching project requirements and adept at developing real-time reports and dashboards for data-driven decision-making using Excel, SQL, and PowerBI. Eager to demonstrate my capabilities and contribute to your company while acquiring valuable expertise.

Empowered business stakeholders with data-driven insights and critical KPIs by developing, maintaining, and reporting dashboards using PowerBI. • Crafted SQL scripts using SSMS to establish foundational data sets, enabling in-depth analysis of B2B and B2C Sales and Services business data across Europe, leading to a 20% improvement in sales forecasting accuracy. • Drive informed decision-making by generating real-time and ad-hoc reports using Excel, Looker, Microsoft 365, and SQL. Provide critical data analysis support to stakeholders. • Engineered performance test scripts utilizing JMeter, LoadRunner, and other tools for backend systems in JAVA programming language, API in Azure environment, and web services applications, resulting in a 30% increase in application performance. • Ensured data accuracy and reliability through meticulous attention to detail in data collection and reporting processes, leading to a 10% reduction in data processing errors. • Identified growth opportunities and ensured data accuracy and compliance with privacy regulations by leveraging proficiency in data manipulation and analysis tools to analyze sales data. • Spearheaded project workflows and facilitated effective task coordination utilizing JIRA and Asana project management tools. • Safeguarded sensitive information and ensured privacy by strictly adhering to data protection regulations& compliance standards. • Fostered a culture of continuous improvement by providing mentorship and guidance to junior team members.

University of Liverpool September 2022 - September 2023 Masters in Data Science and Artificial Intelligence Modules: Data Mining, SQL, Python Programming, Statistics, Machine Learning, Applied AI. Project 1: Social distance detecting and alert system using Machine Learning Methods such as Random Forest and faster RCNN. Utilized NumPy, Matplotlib for data manipulation, StatsModels, sci-kit-learn and TensorFlow. Used pytest, TensorFlow Test, sci-kitlearn metrics, OpenCV testing modules, and Mock for comprehensive testing. Project 2: Chatbot for Mental Health using BERT and NLP methods. Utilized NumPy, pytorch, transformers, BlenderBot, and conditional generator packages. Panimalar Engineering College August 2017 - April 2021 Bachelor of Engineering in Electrical and Electronics Engineering (1:1 - with Distinction) • Improved programming, soft, and technical skills. • Designed and developed a digital restaurant webpage using HTML, CSS, and JavaScript. • Designed and implemented a prototype Vehicle Accident Detection System integrating computer vision and machine learning techniques for real-time incident identification and alert generation using MEMS Sensor and Arduino UNO