Roshan Dhanasekaran
Data Analyst
Birmingham
Summary
As a dedicated Data Scientist with hands-on experience in open-source contributions, data mining, and digital twin development, I bring a strategic approach to data-driven decision-making. Recently, I completed the Google Data Analytics Professional Certificate, further enhancing my proficiency in statistical techniques, machine learning, and data visualization. My ability to tackle diverse industry challenges and my expertise in tools like R, Azure, Power BI, NoSQL, Tableau, and PySpark underscore my commitment to driving efficiency and meaningful impact in the field of data science.
Overview
4
4
years of professional experience
3
3
Certificates
Work History
Open Source Contributor
Unify.AI
London
06.2023 - Current
- As an open source contributor at Ivy,Identified and resolved library issues, tested solutions locally, and executed Pull Requests.
- I collaborated with the Ivy community to improve usability and functionality, enhancing my machine learning and programming expertise by 20%.
Junior Data Scientist
Vrrds Eco Entrepreneurs
Chennai
04.2020 - 12.2021
- Data Mining and Analysis: Employed various data mining techniques and tools, including IoT technologies, to optimize data streams, deriving valuable insights from complex datasets.
- Time Series Analysis: Utilized R software to prepare comprehensive reports with time series data analysis, time plots, and time variation plots.
- Data Visualization: Created intuitive dashboards and graphics to represent data trends, enabling effective communication of insights to stakeholders.
- Digital Twins Development for Plastic Recycling Plant: I was part of the creation of a digital twin-based system, enhancing plastic recycling services by 30%. Technologies Used: C#, Node.js, machine learning models, and other Industry 4.0 enablers.
- Challenges Addressed: Tackled industry difficulties like diverse workforce management, enhancing communication by 25%.
Research Intern
Tamil Nadu Pollution Control Board
Chennai
11.2019 - 03.2020
- Collaborated with team members to find optimal solutions, reducing vehicle emissions by 15%.
- Utilized Tableau and PowerBI for data analysis and report building, improving reporting efficiency by 10%.
Software Engineer Intern
Knowledge Lens
Bengaluru
05.2019 - 09.2019
- Used PySpark and SQL for data cleaning, applied R Studio's Open-Air package for data visualization, identifying pollution trends, resulting in 20% increase in efficiency.
- I gained expertise in Big Data analytics and task prioritization during my internship.
Education
Master of Science - Data Science & Artificial Intelligence
Coventry University
Coventry, United Kingdom 04.2022 - 2023.04
Bachelor of Science - Computer Science
SRM University
Chennai, India 05.2016 - 2020.05
Certification
Google Data Analytics Professional Certificate – 2023
Timeline
Google Data Analytics Professional Certificate – 2023
08-2023
Open Source Contributor
Unify.AI
06.2023 - Current
Master of Science - Data Science & Artificial Intelligence
Coventry University
04.2022 - 2023.04
Junior Data Scientist
Vrrds Eco Entrepreneurs
04.2020 - 12.2021
Research Intern
Tamil Nadu Pollution Control Board
11.2019 - 03.2020
Software Engineer Intern
Knowledge Lens
05.2019 - 09.2019
Bachelor of Science - Computer Science
SRM University
05.2016 - 2020.05
Technical Skills:
- Programming Languages: Python, R, SQL
- Machine Learning & Analytics: Machine Learning Models, Artificial Neural Networks, and Optimization Under Uncertainty
- Big Data & Visualization Tools: PySpark, Power BI, Tableau, Open-Air (R Studio), Spark
- Cloud & Database Management: Azure, NoSQL
- Development & Collaboration Tools: Git
Soft Skills
- Problem Solving: Tackling industry challenges, diverse workforce management
- Communication: Effective verbal and written communication, report building
- Intelligence Gathering: Collecting and processing information, strategic planning
Projects
1. SIRS Model-Based Disease Spread Analysis: Led a project using the SIRS model to simulate disease spread, providing valuable insights for controlling infectious diseases.
2. Probabilistic Digital Twin for Plastic Recycling:Spearheaded a project to develop a digital twin for a plastic recycling plant, enabling efficient segregation of plastics and reducing contamination.
3. Predicting Machine Health with LSTM: Led an innovative project using the LSTM network to estimate machine failure, enabling proactive maintenance planning and optimizing resource management.
Specialized Knowledge:
- Data Science & AI: Data Mining, Time Series Analysis, Digital Twins Development, Statistical Analysis
- Environmental Analysis: Pollution Trend Identification, Vehicle Emission Reduction
- Project Management: Agile Framework Understanding, Task Prioritization
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