SHARMA Suraj

Profile

Data professional specializing in data-driven systems and machine learning applications, with a strong analytical and problem-solving mindset. Experienced in translating complex data into actionable insights and collaborating on technical solutions in team environments. Adaptable and quick to learn, with a proactive approach and a strong interest in applying skills to real-world challenges and contributing to impactful projects.

Education

Master’s Degree in Statistical Data Analytics and Computing Science – Tampere University

2022 – 2026

• Thesis: ML-based control factor identification in wastewater treatment Plant
• Relevant coursework: Machine Learning, Data Engineering, Statistics

Projects

Wastewater Treatment Plant Optimization (Thesis)

• Developed ML models to identify key operational control variables
• Applied clustering (SOM) and similarity metrics for pattern analysis
• Characterization of clustered classes according to process domains
• Improved system understanding and decision-making support

ML Customer Churn Dashboard

• Developed a machine learning model to predict customer churn and identify retention risks
• Built an interactive dashboard to visualize churn patterns and key influencing factors
• Integrated model outputs with user-friendly visualizations for business decision support

Credit Card Fraud Detection

• Built a classification model to detect fraudulent transactions in highly imbalanced datasets
• Performed data preprocessing, feature engineering, and model evaluation to improve detection accuracy
• Applied anomaly detection techniques to identify suspicious transaction patterns

Experience

Research Assistant (Master's Thesis Collaboration)

Ramboll

2025-2026

• Conducting applied research on wastewater treatment optimization using machine learning
• Collaborating with industry professionals to align research with real-world engineering needs
• Analyzing operational data to identify key control variables affecting system performance
• Developing and evaluating models to support data-driven decision-making

Data Science Trainee (Intensive Program)

Integrify, Helsinki

Oct 2020 – Mar 2021

• Completed a 6-month intensive training program in data science and machine learning engineering
• Developed hands-on projects involving data preprocessing, model building, and evaluation
• Worked in team-based environments simulating real-world industry workflows
• Collaborated in team-based projects simulating industry workflows