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Data Analyst with less than a year in Python, SQL & Power BI
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 Analyst with hands-on experience in Python, SQL, Power BI. Skilled in data cleaning, EDA, visualization, predictive modeling and dashboard creation. Certified in Data Science (NASSCOM, IABAC) with project experience in finance, healthcare, and Human Resource domains. Strong foundation in statistics, probability, and business problem-solving.
Presidency College, Chennai
Bachelor of Commerce · Corporate Secretaryship
August 1, 2021 – June 30, 2024
Rubixe
Data Science Consultant Intern
March 1, 2025 – May 31, 2025
India
Employee Performance Prediction – HR Domain
June 23, 2026 – Present
Developed Random Forest model to predict default risk with 89% accuracy. Automated preprocessing, reducing manual work by 40%. Helped HR teams optimize promotion & retention with 50% faster evaluations.
FIFAPlayerSegmentation
June 23, 2026 – Present
Clustered FIFA20 players using DBSCAN, achieving a Silhouette Score of 0.67. Reduced manual scouting effort by 60% and improved the speed of team composition by 40%. Optimized preprocessing & visualization techniques, enhancing data interpretability by 50%
WalkvsRun Classification
June 23, 2026 – Present
Classified human activities (running vs walking) using sensor data, achieving 93% accuracy with an SVC model. Conducted exploratory data analysis and feature engineering to extract motion-based features. Trained machine learning models to enable wearable device activity monitoring.
NASSCOM Certified – Data Science
NASSCOM
January 1, 2025 – Present
Certified Data Scientist – IABAC
IABAC
January 1, 2025 – Present
Data Science Training
DataMites
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data science techniques. The diversity of personal projects (HR, FIFA, activity classification) indicates a broad interest in applying data analysis to different domains. The certifications from NASSCOM, IABAC, and DataMites show a commitment to formal learning and skill validation, which aligns with a culture of continuous improvement. However, the lack of professional experience beyond a short internship and a non-technical bachelor's degree might require additional mentorship to fully integrate into a professional data team culture.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, and collaboration as soft skills. Project descriptions highlight problem-solving through model development and process optimization. The internship experience demonstrates application of technical skills in a business context, suggesting a foundational operational fit for data-driven roles.