Chinnu Baby

Talent

FalkirkMember since 21 April 2026

PythonSQLR ProgrammingC++Data AnalysisStatistical AnalysisData Cleaning and PreprocessingExploratory Data Analysis (EDA)Data VisualizationPower BISPSSSASMachine LearningPredictive ModellingData ModellingDatabase ManagementData MiningData InterpretationReport WritingMicrosoft ExcelMicrosoft WordProblem SolvingCritical ThinkingDecision MakingCommunication SkillsTeam CollaborationResearch SkillsTime ManagementAttention to DetailAdaptabilityLogical Reasoning

Hire this person

Send a job offer directly to this candidate

PythonSQLR ProgrammingC++Data Analysis

About

Highly analytical and detail-oriented professional with a degree in Mathematics and postgraduate qualifications in Biostatistics and Data Science. Skilled in data analysis, statistical modelling, and problem-solving, with strong technical expertise in Microsoft Excel, SQL, and data manipulation. Competent in data cleaning, EDA, statistical analysis, and data visualization using Power BI and Tableau.

Experienced in interpreting complex datasets, identifying trends, and delivering insights to support business decisions. Demonstrates a strong interest in finance, risk management, and process improvement, with the ability to communicate findings clearly and work effectively both independently and as part of a team.

Experience

Graduate Trainee at Regional Cancer Centre (2021-06 – 2021-09)

Collaborated with a multidisciplinary team at the Regional Cancer Centre (RCC) to develop machine learning models for healthcare research and decision-making.

Collaborated with a multidisciplinary team at the Regional Cancer Centre (RCC), Trivandrum, to develop a Breast Cancer Survival prediction project using Artificial Neural Network (ANN) models.
Assisted in data collection, preprocessing, and analysis of clinical and patient datasets to support accurate survival prediction and model development.
Contributed to building and evaluating ANN models to identify patterns in breast cancer survival outcomes, supporting data-driven healthcare research and decision-making.

Junior Data Analyst at Lit Infotech LTD (2023-06 – 2024-03)

Collaborated with data scientists and cross-functional teams on customer segmentation and reporting projects using Python, SQL, and Power BI.

Collaborated with data scientists and cross-functional teams in the development of a Food Segmentation project to identify customer groups based on purchasing behavior and preferences.
Cleaned and analyzed datasets of 10000+ records using Python and SQL to support customer segmentation and reporting.
Supported the creation of dashboards and visual reports in Power BI to present segmentation insights and help improve business and marketing strategies.