ARUN MADHANSINGH

• Utilized advanced Excel functions, dynamic pivot tables, and Power Query to analyze large datasets, reducing processing time by 20% and automating data cleaning, saving 40% of manual effort
• Executed core SQL commands to define, manipulate, control access, aggregate, and join data tables
• Created interactive dashboards using Power BI, boosting productivity by 25%
• Collaborated in cross-functional meetings, providing data-driven insights for decision-making processes

• Assisted in the development and implementation of machine learning models for predictive analytics, including natural language processing and computer vision algorithms
• Worked on creating an AI voice-based assistant based on the NLP Engine Dialogflow
• Developed a chatbot called "Friday" that supports text and voice with an open-source machine learning framework and conducted a comprehensive analysis of business use cases
• Used Jupyter Notebooks for writing and iterating on Python code for data analysis
• Collaborated with cross-functional teams to develop solutions for business problems and presented findings to stakeholders
• Acquired a good understanding of various levels of math logic and machine learning algorithms
• Completed the 100DaysofCode challenge with code available on GitHub repository https://github.com/ArunMadhanSingh/python_programming

Modules: Artificial Life with Robotics, Legal and Ethical Practice Exercise, Neural Networks and Machine Learning, Team Research and Development Project, Theory and Practical of Artificial Intelligence

Dissertation: ''Traffic Violation Detection using Deep Learning Methods'': Data Collection, Data Pre-processing, Training with the Dataset, and Implementing CNN

• Member of ISA (International Society of Automation)
• Elected Captain of Football team
• Elected to Organizer for Karuvingyan National level symposium 2018
• Dissertation: "Automatic Control of SIL-Based Instrument AirPlant System". In this system, I introduced the concept of SIL, which is used to implement a high safety level in the plant