RAMACHANDRAN SWEESKARAN
Data ScienceAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science with less than a year in Power BI, Excel, SQL, and Machine Learning
As a passionate software engineering undergraduate, I am eager to pursue work opportunities in the fields of data analysis and machine learning. With practical experience in Excel, SQL, Python, Power BI, and ML concepts, I am currently deepening my knowledge of machine learning techniques. Recognized for my structured and detail-focused approach, I strive to apply my technical abilities to real-world challenges, gain valuable industry exposure, and contribute effectively to data-driven decision-making.
University of Kelaniya
B.Sc (Hons) · Software Engineering
August 1, 2023 – Present
J/Jaffna College
G.C.E Advanced Level (A/L) · Combined Maths
June 1, 2018 – May 31, 2021
MAS ACTIVE (Pvt) Ltd – KREEDA VAANAVIL
Intern - Data Analyst & Employee Relations
November 1, 2025 – May 1, 2026
India
Pizza Sales Analyzing Dashboard
January 1, 2026 – June 1, 2026
Developed a dynamic Power BI dashboard to analyze historical pizza sales data, enabling identification of trends and performance insights. Highlighted top-performing menu items, peak sales periods, and revenue patterns using custom DAX measures. Incorporated filters and slicers to enable interactive, data-driven decision-making and improve overall report usability.
House Price Prediction Model
January 1, 2026 – June 1, 2026
Developed a machine learning model to predict house prices using a Kaggle dataset. Utilized Python and Scikit-Learn for data preprocessing, feature engineering, and model training using Linear Regression and Random Forest algorithms. Applied cross-validation and hyperparameter tuning to improve model performance, demonstrating a solid understanding of the end-to-end ML pipeline.
View ProjectCOVID-19 Data Analysis Report
January 1, 2026 – June 1, 2026
Analyzed a COVID-19 dataset from Kaggle and built an interactive report using Jupyter Notebook. Leveraged NumPy, Pandas, Matplotlib, and Seaborn to explore and visualize key trends and pandemic impacts. Delivered data-driven insights through clear visual storytelling and exploratory analysis.
Chronic Disease Prediction Project
January 1, 2026 – June 1, 2026
Developed a machine learning model to predict the likelihood of chronic diseases using a public healthcare dataset from Kaggle. Applied data preprocessing, feature engineering, and classification algorithms to identify key risk factors and enhance early detection. Focused on optimizing model accuracy and interpretability for real-world medical data applications.
SQL for Data Science
Great Learning
June 1, 2026 – Present
Basics of Data Analysis with Excel
Alison
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from house price prediction to COVID-19 analysis and chronic disease prediction, indicates a broad interest in applying data science across various domains. The internship in HR data analysis shows adaptability to different business contexts. While the experience level is entry-level, the candidate's proactive engagement in personal projects and certifications aligns with a growth-oriented culture. The target role of Data Science aligns well with the candidate's stated interests and project work.
Soft Skills & Operational Fit
The candidate's profile summary highlights a structured and detail-focused approach, which is beneficial for data science roles. Involvement in volunteer activities suggests teamwork and communication skills. The internship experience in HR data analysis indicates an ability to translate raw data into actionable insights for strategic planning, demonstrating operational fit for roles requiring business understanding.