SHARMA Suraj

Profile

I am a Data professional specialising in data-driven systems and machine learning applications, with a strong analytical problem-solving mindset. Experienced in translating complex data into actionable insights and collaborating on technical solutions in team environments. Moreover, adaptable 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: Machine learning based control factor identification in wastewater treatment plant
• Coursework: Machine Learning, Data Engineering, Statistics

Projects

Project's Details : https://suraj192.github.io

Wastewater Treatment Plant Optimization (Thesis)

• Developed ML models to identify key operational control variables
• Applied clustering (SOM) and similarity metrics for pattern analysis
• Characterisation 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 a 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
• An end to end model with anamoly detection techniques for identifying 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 for real world industrial needs
• Analyzing operational data to identify key control variables affecting system performance
• Developing and characterising key feature to support data-driven decision-making

Data Science Trainee (Intensive Program)

Integrify, Helsinki

Oct 2020 – Mar 2021

• Completed six month intensive training program in data science and machine learning engineering
• Developed projects involving data preprocessing, model building, and evaluation
• Performed multiple team project simulating real industrial workflows