Data Analyst with less than a year in Data Analytics & Machine Learning
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B.Sc. in Computer Science graduate and NIIT-certified Data Analyst with expertise in building end-to-end data workflows. Proficient in Python, SQL, Advanced Excel, and Power BI for data pipeline development, statistical modelling, and dashboard creation. Skilled at translating complex, raw datasets into clear, actionable business insights that support executive decision-making.
K.C.S. Kasi Nadar College of Arts and Science
B.Sc. · Computer Science
January 1, 2022 – January 1, 2025
Novi Tech
Data Analytics Intern
February 1, 2025 – March 1, 2025
India
E-Commerce Sales Performance Analysis
March 1, 2025 – June 1, 2026
Profiled, cleaned, and merged 4 relational tables; handled missing values and engineered new metrics for delivery speed and profit margins to improve data reliability. Executed T-tests, ANOVA, and Chi-Square testing to analyze customer behaviour, proving with 95% confidence that loyal customer segments drive distinct revenue patterns. Developed multi-linear regression models evaluating price and shipping costs to forecast sales impact, achieving a highly accurate R² score of 0.90. Applied K-Means clustering to define dense customer profiles (0.90 Silhouette Score) and built a KNN classifier for review sentiment analysis (0.86 F1-score). Designed an interactive Power BI dashboard tracking 1.18bn in revenue and 100K orders, featuring geolocation mapping, trend lines, and dynamic KPI filters.
View ProjectData Science & Machine Learning with GenAI
NIIT
January 1, 2025 – January 1, 2026
Cultural Fit Analysis
The candidate's profile shows a strong alignment with a Data Analyst role, having pursued relevant education (B.Sc. Computer Science), certifications (Data Science & Machine Learning), and practical experience through an internship and a detailed personal project. The project diversity, covering statistical analysis, predictive modeling, and customer segmentation, indicates a broad interest within data analytics. The listed technical skills are highly relevant to the target role, suggesting a good fit for a data-driven team. The brief internship experience, while valuable, limits the assessment of long-term team collaboration or adaptability in a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work through complex data problems independently and deliver tangible results (e.g., R² score, Silhouette Score, F1-score). The internship experience, though brief, shows an eagerness to learn and apply core data analysis concepts. The focus on end-to-end data workflows suggests a structured approach to problem-solving. However, without psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.