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Data Science with 8+ years in Data Analysis & 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
Data Analyst with 8+ years of IT experience and strong expertise in Python, SQL, Power BI, and Tableau. Skilled in data cleaning, exploratory data analysis (EDA), and building dashboards to generate actionable business insights. Certified in Data Science (GUVI & IIT Madras) with hands-on experience in machine learning and analytics projects.
RVS College of Engineering
M.Sc. · Software Engineering
August 1, 2014 – June 30, 2014
HCL Technologies
Analyzed server performance data and generated reports
January 1, 2017 – December 31, 2024
Madurai, Tamil Nadu, India
WiseWorks IT
Hardware installation and technical support
January 1, 2015 – December 31, 2015
Bengaluru, Karnataka, India
Employee Attrition Analysis and Prediction
June 1, 2026 – Present
Data cleaning and preprocessing using Pandas; Built ML models (Logistic Regression, Random Forest); Developed Streamlit dashboard
AgriData Explorer
June 1, 2026 – Present
Performed EDA on agriculture dataset; Built Power BI dashboards
AI Echo – Sentiment Analysis
June 1, 2026 – Present
NLP-based sentiment classification using TF-IDF; Logistic Regression model
SecureCheck – Traffic Data Analysis
June 1, 2026 – Present
SQL-based data analysis and dashboard creation
Data Science Certification
GUVI & IIT Madras
June 1, 2026 – Present
CCNA
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a diverse interest in data analysis applications, from HR attrition to agriculture and sentiment analysis. The transition from IT support/server analysis to data science indicates adaptability and a drive for career growth. The personal projects demonstrate initiative and self-learning, which are positive indicators for cultural fit in a dynamic environment. However, the professional experience prior to 2017 is not directly aligned with data science, which might require a stronger demonstration of proactive learning and application in a team setting.
Soft Skills & Operational Fit
The candidate's resume indicates experience working with cross-functional teams, suggesting collaboration skills. The project descriptions are concise, implying an ability to communicate technical work clearly. However, specific soft skills like problem-solving, critical thinking, or leadership are not explicitly detailed.