Suhas Mandalamane Ramesh
Belfast
Summary
Data professional with expertise in designing and implementing efficient ETL pipelines and developing impactful Power BI dashboards. Proficient in analyzing business requirements and collaborating with stakeholders to deliver data-driven solutions that enhance strategic decision-making. Experienced in managing large datasets, ensuring data integrity, and converting complex data into actionable insights. Demonstrated success in improving operational efficiency through automation and effective data visualization aligned with business objectives.
Overview
1
1
year of professional experience
1
1
year of post-secondary education
1
1
Certification
Work history
Data Scientist
Quadwave Consulting
Bangalore, India
03.2024 - 03.2025
- Built internal database to streamline workflows into structured formats to support business insights leveraging GenAI technologies.
- Cleaned and processed 10,000 unstructured documents using Python, improving data usability by 40%.
- Designed and implemented ETL pipelines in Azure ML to process 10 TB of unstructured data, cutting preprocessing time by 40% and enabling real-time analytics.
- Built and deployed 3 LLM-based NLP solutions—document summarizer, ticket classifier, and HR chatbot—improving process efficiency by 30% and reducing manual effort by 25%.
- Created ticket triaging system using machine learning and NLP, achieving 92% classification accuracy and reducing manual ticket sorting efforts by 25%.
- Fine-tuned LLaMA-3 and GPT-3.5 models for customer support chatbot, increasing query resolution rate by 35% while lowering API costs by 20% through prompt optimization.
- Developed document summarizer proof-of-concept that increased document analysis efficiency by 25%, retrieval precision by 20%, and search speed by 15%.
- Automated onboarding through AI chatbot using Co-pilot Studio, transitioning employee experience from manual to SaaS platform, reducing manual interventions.
- Utilised Python programming language to automate routine tasks-increased productivity.
Education
Master of Science - Data Science
University of Sheffield
Sheffield 09.2022 - 09.2023
Skills
- Strategic planning
- Data analysis
- Requirements gathering
- AI solutions
- NoSQL Databases
- Python programming
- Power BI knowledge
- Database design
- ETL processes
- SQL programming
- Machine learning
- Natural language processing
- Code development
- Prompt engineering
- Data cleaning and mining
- Data visualization
- Dashboard creation
- Documentation and reporting
Certification
- Data Analytics Professional from Google Data Analytics
- Data Analytics from AWS Academy, University of Sheffield(May - Jul 2023)
- Generative AI for Beginners from Udemy, Bangalore
- Microsoft Copilot Studio - The Copilot Studio Masterclass from Udemy.
- SQL Programming from Udemy
Technical Tools
- Languages: Python, R Studio, SQL
- GenAI Products: Microsoft CoPilot Studio, Meta Llama Model, Open AI
- Libraries: Numpy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, Pytorch, Seaborn
- Database: MySQL, MongoDB, Oracle - Relational & Non-Relational Database, Join Query, Clause Statement, Conditional Queries, Sub - Queries, Conceptual Design, Logical Design, Physical Design.
- Data Visualization: Power BI, Python (Matplotlib, Seaborn)
- Data Analytics & Business Intelligence: Data mining, Hypothesis Testing (Mann-Whitney U test, t-tests, ANOVA, and chi-square tests)
Analysis & Modelling
- Analysis: Business Analysis, Data Analysis, Statistical Analysis, Principal Component Analysis, Univariate Analysis, Bivariate Analysis, Text Analysis, Sentiment Analysis.
- Predictive Modelling: Time Series Models, Regression, Classification, Neural Networks, Clustering &Ensemble, Forecasting, Bagging and Boosting Techniques, SMOTE, Cross-Validation.
References
References available upon request.
Timeline
Data Scientist
Quadwave Consulting
03.2024 - 03.2025
Master of Science - Data Science
University of Sheffield
09.2022 - 09.2023