Nikunj Udeshi
Coventry, United Kingdom
Summary
Passionate about leveraging analytical expertise to optimize business operations and contribute to a high-impact, data-driven team with a strong ability to translate complex datasets into actionable insights.
Overview
4
4
years of professional experience
4
4
years of post-secondary education
1
1
Certification
Work history
Implementation Engineer
Spine Technologies
Mumbai, India
04.2022 - 12.2022
- Customized Payroll and HRIS system to meet specific client needs leading to an 80% increase in client satisfaction
- Successfully enhanced data integrity by implementing and optimizing MySQL server solutions, resulting in a 70% reduction in data corruption
- Streamlined issue resolution and ensured smooth data processing and analysis by providing technical support and creating standard FAQs, achieving a 50% reduction in resolution time
IT Support Executive
Tata Consultancy Services
Mumbai, India
04.2019 - 10.2019
- Boosted client revenue by 15% through analysing data on Amazon Web Server and effectively troubleshooting data-related issues for various clients
- Enhanced data accuracy by 20% through the delivery of expert technical support for data management systems
- Created knowledge base articles and trained teams on best practices for AWS data management, enhancing operational efficiency
Education
MSc - Data Science and Computational Intelligence
Coventry University
Coventry, United kingdom 01.2023 - 01.2024
BSc - Information Technology
Narsee Monjee College
06.2015 - 11.2018
Skills
- Python
- R
- Machine Learning
- Data Preprocessing Techniques
- AWS
- Model Evaluation Techniques
- NLP Techniques
- Tableau
- Power BI
- Pandas
- NumPy
- Matplotlib
- WordCloud
- MySQL server
- Microsoft Excel
Websites
Certification
Power BI Essential Training, 02/01/24, LinkedIn Learning
Projects
1. Amazon User Review Sentiment Analysis using Machine Learning
- Developed a predictive model to unlock public opinion and customer feedback using NLP, Machine Learning and Deep Learning Techniques achieving an average of 90% accuracy.
2. Customer Churn Prediction for Credit Card Usage Using Machine Learning Models
- Conducted a comprehensive analysis of customers churns on credit card usage to identify trends and patterns achieving 88% accuracy.
- Created visualisation using Tableau to communicate findings to a non-technical audience.
Timeline
MSc - Data Science and Computational Intelligence
Coventry University
01.2023 - 01.2024
Implementation Engineer
Spine Technologies
04.2022 - 12.2022
IT Support Executive
Tata Consultancy Services
04.2019 - 10.2019
BSc - Information Technology
Narsee Monjee College
06.2015 - 11.2018
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