Summary
Overview
Work History
Education
Skills
Languages
Internships
Projects
Timeline
BusinessAnalyst

Mohamed Mubassir Hussain

No 26, Woodbine House, Stillorgan Road,Dublin 4

Summary

Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

Overview

1
1
year of professional experience
5
5
years of post-secondary education
4
4
Languages

Work History

Business Analyst

Immidart TTK
Bangalore
2021.07 - 2022.07
  • Front ending customers on end to end product implementation and support related activities
  • Managed Over 5 Major clients and was assistant team lead for projects
  • Understanding customer's requirements and addressing their expectations
  • Performing UAT for product and API actions for to and flow of data
  • Analyzed key aspects of business to evaluate factors driving results and summarized into presentations.
  • Recommending product enhancements and updates in line with product roadmap and customer expectations.
  • Trained and provided coaching to junior team members.
  • Developed complex dashboard and reporting tools to track business performance metrics.
  • Worked with software development team on reported errors and bugs on newly released software and assisted in deployment of release fixes.
  • Integrated BI assets into customer relationship management tasks, improving service personnel's available intelligence.

Education

Master of Science - Data Analytics

National College Of Ireland
Dublin,Ireland
2023.01 - Current

Bachelor of Engineering - Electronics And Communications Engineering

MNM Jain Engineering College
Chennai, India
2016.07 - 2020.11

Higher Secondary School -

Vana Vani Mat. Hr. Sec. School
Chennai, India
2015.04 - 2016.05

Skills

    Communication Skills

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Languages

English

Urdu

Tamil

Hindi

Internships

Campus Ambassador at SLICE Chennai,India (April 2018 - March 2019)


Technical Intern at 3G IRPS IITM Research Park, India (May 2019 - June 2019)


Projects

Project Title: Machine Learning and Artificial Intelligence to Address Seasonality in Irish Tourism

Roles and Responsibility: I led this project, Sole contributor responsible for all phases of the project, including Requirement Gathering, Development, and Testing

Description: This project addressed the challenge of seasonality in Irish tourism. The tourism sector in Ireland experiences significant fluctuations throughout the year, with the highest number of tourists visiting during the summer months. These seasonal variations lead to issues such as crowded tourist areas, transportation challenges, regional imbalances, and economic instability. To combat this, I leveraged machine learning and artificial intelligence. I used machine learning algorithms and techniques to predict visitor demand, analyze historical visitor data, and identify seasonal patterns and trends. Machine learning also helped us segment visitors for targeted marketing campaigns and personalized recommendations, especially during off-peak seasons. My goal was to provide data-driven solutions to optimize resource allocation, diversify tourism offerings, and enhance the overall visitor experience, ultimately leading to a more stable and sustainable Irish tourism sector.

Technologies Used: Machine Learning, Python, Data Analysis, Machine Learning Algorithms, AI-driven recommendation systems, Firebase, Jupiter notebook.

Project Title: Rent Analysis and Classification of Housing Market

Roles and Responsibility: Sole contributor responsible for all phases of the project, including Requirement Gathering, Development, and Testing.

Description: Using various datasets, including the Birmingham House Rent Prediction dataset, Flats for Rent in Mumbai dataset, and Paris Housing Classification dataset, this project involved in-depth analysis of rental data in cities like Mumbai, Paris, and Birmingham. The primary focus was on the House Rent Prediction dataset, which contains information about rental properties globally. The analysis examined relationships between factors such as location, property type, number of rooms, amenities, and rental costs. Machine learning methods were employed to perform analysis and classification, with the goal of creating high-accuracy predictions using five supervised learning algorithms. The Knowledge Discovery in Databases (KDD) method was used to implement a cyclical process of data selection, cleaning, transformation, modeling, evaluation, and deployment.

Technologies Used: Machine Learning, Python, Knowledge Discovery in Databases (KDD).

Timeline

Master of Science - Data Analytics

National College Of Ireland
2023.01 - Current

Business Analyst

Immidart TTK
2021.07 - 2022.07

Bachelor of Engineering - Electronics And Communications Engineering

MNM Jain Engineering College
2016.07 - 2020.11

Higher Secondary School -

Vana Vani Mat. Hr. Sec. School
2015.04 - 2016.05
Mohamed Mubassir Hussain