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Data Science with 5+ years in Data Analytics & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
M.Sc. Statistics graduate from St. Thomas College, Pala, with hands-on experience in R programming across the complete data analytics workflow, including data cleaning, exploratory data analysis, predictive modeling, and data visualization. Developed and evaluated a clinical stroke prediction model using Logistic Regression and R packages such as tidyverse, caret, ggplot2, and pROC. Skilled at translating complex statistical findings into clear, actionable insights. Currently expanding expertise in Power BI and SAS to strengthen data analytics, visualization, and business intelligence capabilities. Seeking an entry-level job to apply analytical skills, contribute to impactful projects, and continue growing as a data professional.
St. Thomas College Pala (Autonomous)
Master of Science (MSc) · Statistics
January 1, 2024 – January 1, 2026
Alphonsa College Pala
Bachelor of Science (BSc) · Mathematics
January 1, 2021 – January 1, 2024
Self-Employed
Private Tutor
January 1, 2021 – Present
Kottayam, Kerala, India
Stroke Prediction Analysis
March 1, 2026 – Present
MSc Final Project involved cleaning and preparing a real-world clinical dataset in R using dplyr; resolving class imbalance through upsampling with the caret package. Built a Logistic Regression model to calculate Odds Ratios and pinpoint key stroke risk factors including hypertension, glucose levels, and BMI. Evaluated model performance using AUC-ROC via pROC and validated goodness-of-fit with the Hosmer-Lemeshow test. Created clear visualizations using ggplot2 to present risk factor distributions and model diagnostics to both technical and non-technical audiences.
30 Days Power BI Micro Course
SkillCourse
January 1, 2026 – Present
Introduction to Data Analytics
Coursera
January 1, 2026 – Present
Data Visualization Using Python
UniAthena
January 1, 2026 – Present
R for Data Science
Great Learning
January 1, 2026 – Present
Basics of Power BI
UniAthena
January 1, 2025 – Present
Introduction to Python
DataCamp
January 1, 2025 – Present
Workshop on Tableau for Data Visualization
ASAP Kerala
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background in Statistics and Mathematics, coupled with a focused MSc project in stroke prediction, aligns well with a data science role. The pursuit of various certifications (Python, R, Power BI, Tableau) demonstrates a strong initiative and willingness to learn new tools and adapt to industry demands, which is a positive indicator for cultural fit in a dynamic technical environment. The project diversity is limited to one academic project, but its depth is notable. The candidate is seeking an entry-level role, which aligns with their current experience level.
Soft Skills & Operational Fit
The candidate's experience as a private tutor suggests developed communication skills, which are crucial for explaining complex data insights. The professional summary also lists teamwork, leadership, problem-solving, adaptability, and continuous learning as soft skills, indicating a good operational fit for collaborative and evolving data science environments. However, these soft skills are not explicitly demonstrated in a professional data science context.