Data Science with less than a year in Python, SQL, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Data Science & Analytics graduate with skills in Python, SQL, Power BI, Tableau, and Machine Learning. Experienced in developing predictive analytics and business intelligence projects involving data visualization, dashboard creation, and data-driven insights. Strong analytical, problem-solving, and communication skills with a passion for learning and applying emerging technologies.
Bharathiar University
BSc · Data Science & Analytics
August 1, 2023 – June 30, 2026
Stroke Risk Prediction System using Machine Learning
January 1, 2023 – June 1, 2026
Developed a Machine Learning-based healthcare analytics system to predict stroke risk using patient medical data. Implemented data preprocessing, label encoding, and SMOTE techniques to handle imbalanced datasets and improve prediction performance. Designed an interactive Gradio interface for user input, prediction analysis, and visual dashboard representation. Added severity classification (Low, Medium, High Risk) based on probability scores for better healthcare interpretation.
View ProjectSales Analytics Dashboard using Power BI
January 1, 2023 – June 1, 2026
Developed an interactive sales analytics dashboard to monitor sales performance, profit trends, product performance, and customer segments. Created KPI cards for Total Sales, Profit, Quantity Sold, and Customer Insights to support business decision-making. Designed multiple dashboard pages including Executive Overview, Product Analysis, and Customer Insights for comprehensive analysis. Utilized Power BI visualizations such as bar charts, line charts, donut charts, and slicers to identify sales patterns and business trends. Generated actionable insights by analyzing regional performance, top-selling products, customer segments, and monthly sales trends.
View ProjectData Mining and Decision Making: Data Preparation & Predictive Analytics
Unknown
June 1, 2026 – Present
Software Testing
IIT Madras
June 1, 2026 – Present
Storytelling with Data: Tableau & Power BI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data science to real-world problems (healthcare, sales). The breadth of tools and techniques used (ML, BI, data visualization) suggests a willingness to learn and adapt. However, as an entry-level candidate with only academic projects, the diversity of experience and exposure to different team dynamics is limited, which impacts the cultural fit score.
Soft Skills & Operational Fit
The candidate highlights soft skills such as good communication, decision-making, critical thinking, and problem-solving. The project descriptions indicate an ability to translate technical work into business-relevant insights (e.g., severity classification, actionable sales insights). However, without direct work experience, the operational fit in a professional team setting is yet to be validated.