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Bhaskar Makwana

@bhaskarmakwana

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Data Scientist focused on predictive modeling, automation, and business-ready data insights.

United Kingdom

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What I'm looking for

I’m looking for a role where I can apply machine learning and predictive analytics to real-world operations—building dashboards and data pipelines, automating reporting, and turning insights into business decisions in data-driven teams.

I’m pursuing an MSc in Data Science at London South Bank University (2024–2025) and I focus on turning complex data into actionable decisions. My hands-on experience spans machine learning, data visualization, and process automation, with a strong emphasis on predictive models and efficient pipelines.

As a Management Trainee at Reverie Tours & Travels Pvt.Ltd, I analyzed financial and operational datasets to uncover booking patterns and optimize business decisions. I streamlined data reporting workflows using Excel and Python, improving reporting efficiency by 30%, and supported fraud detection through transaction anomaly analysis and automated reporting systems.

In my Data Scientist Intern role at INS Valsura, I conducted exploratory data analysis and built anomaly detection models on electrical safety datasets using Python and Scikit-learn. I created Power BI dashboards for predictive maintenance and real-time monitoring, and I’ve reinforced this with projects like cricket performance modeling (Logistic Regression, Random Forest, XGBoost) and drone-based object detection using SHAP for interpretability.

Experience

Work history, roles, and key accomplishments

Management Trainee

Reverie Tours & Travels Pvt. Ltd.

Jul 2023 - Aug 2024 (1 year 1 month)

Analyzed financial and operational datasets to uncover booking patterns and optimize business decisions. Streamlined data reporting workflows using Excel and Python, improving reporting efficiency by 30%, and supported fraud detection with transaction anomaly analysis and automated reporting.

Python Excel SQL Data Analysis Report Automation Fraud Detection Anomaly Detection Business Insights

Data Scientist Intern

INS Valsura

Jan 2023 - May 2023 (4 months)

Conducted exploratory data analysis and developed anomaly detection models on electrical safety datasets using Python and scikit-learn. Built Power BI dashboards for predictive maintenance and real-time monitoring, validating model performance and presenting findings to support data-driven operational strategies.

Python scikit learn Anomaly Detection Power BI Predictive Maintenance Model Evaluation Data Visualization

Education

Degrees, certifications, and relevant coursework

London South Bank University

Master of Science in Data Science, Data Science

2024 - 2025

Activities and societies: Relevant modules: Machine Learning; Data Mining & Analysis; Statistical Modelling; Cloud Technologies; Cyber Threats

Pursuing an MSc in Data Science at London South Bank University, covering machine learning, data mining, statistical modelling, cloud technologies, and cyber threats.

Nirma University

Bachelor of Technology in Computer Science and Engineering, Computer Science and Engineering

2019 - 2023

Activities and societies: Relevant modules: Data Structures & Algorithms; DBMS; Operating Systems; SQL; Software Engineering; Machine Learning

Completed a B.Tech in Computer Science and Engineering at Nirma University, with coursework in data structures, DBMS, operating systems, SQL, software engineering, and machine learning.