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Data Analyst with 1+ years in Machine Learning & Statistical Analysis
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 expertise in Python, SQL, and Power BI, specializing in machine learning, statistical analysis, and time-series forecasting. Experienced in data cleaning, exploratory data analysis (EDA), and building predictive models to support data-driven decision-making
Pondicherry University
Master of Science · Statistics
August 1, 2022 – June 30, 2024
Vidyasagar University
Bachelor of Science · Statistics
August 1, 2018 – June 30, 2021
Digit Insurance
Data Analyst
August 1, 2025 – December 1, 2025
Bengaluru, Karnataka, India
Rubixe AI
Data Science Consultant
December 1, 2024 – July 1, 2025
Bengaluru, Karnataka, India
Mentorness
Data Analyst Intern
July 1, 2024 – November 1, 2024
Ahmedabad, Gujarat, India
Retail Sales & Customer Insights Dashboard – Vrinda Store
June 1, 2026 – Present
Developed a comprehensive Excel dashboard analyzing 30K+ retail orders using pivot tables, charts, and slicers. Conducted data cleaning and segmentation to identify trends across gender, age groups, channels, and states. Presented insights on sales trends, top categories, and order performance for business optimization.
House Price Prediction
June 1, 2026 – Present
Objective: Help stakeholders estimate the market value of a house based on its features to make informed financial decisions. Applied supervised learning (regression) to predict house prices. Implemented Random Forest, Linear Regression, and SVM algorithms. Achieved a high r2 score of 86%, for accurate price predictions.
Heart Disease Prediction
June 1, 2026 – Present
Objective: Assist doctors in identifying high-risk patients before severe complications arise. Employed various model such as Logistic Regression, Decision tree, Random Forest, XGBoost with highest accuracy score of 80%.
Microsoft Excel from Beginner to Advanced
Udemy
June 1, 2026 – Present
Data Science Machine Learning Bootcamp with R
Udemy
June 1, 2026 – Present
Certified Data Scientis
International Association of Business Analytics Certification (IABAC)
June 1, 2026 – Present
Certified Data Scientist
Datamites
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from retail sales analysis to healthcare and real estate predictions, indicates a broad interest in applying data science across different domains. The experience as a Data Science Consultant at Rubixe AI and Data Analyst at Digit Insurance, along with personal projects, suggests an adaptable individual. The target role of 'Data Analyst' aligns well with the candidate's demonstrated skills and experience in data extraction, cleaning, analysis, and model building. The breadth of skills in Python, R, SQL, and Excel further supports a good cultural fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate's resume highlights 'Teamwork, Problem Solving, Critical thinking, Event Management' as soft skills. Project descriptions indicate an ability to work on defined objectives and present insights, suggesting a foundational operational fit for data analysis roles. However, without specific behavioral assessment data, the depth of these soft skills and their operational application cannot be fully assessed.