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Data Analyst with 1+ years in Statistical Analysis & Data Management.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated professional with 1.3 years of experience in data analysis, inventory management, and risk assessment. Skilled in SQL, Python, and statistical analysis, with a proven ability to manage databases, perform data validation, and derive actionable insights from complex datasets. Successfully contributed to projects involving payroll management, exploratory data analysis, and quality improvement using Six Sigma methodologies.
Amrita Vishwa Vidyapeetham, Coimbatore
Master of Science · Applied Statistics and Data Analytics
September 1, 2022 – June 1, 2024
Mount Carmel College, Bengaluru
Bachelor of Science · Economics, Mathematics, and Statistics
June 1, 2019 – July 1, 2022
Accenture
Trust and Safety New Associate
April 1, 2025 – November 1, 2025
India
Firestix Candle Store
Website and Inventory Management Associate
August 1, 2024 – March 1, 2025
India
PAYROLL MANAGEMENT SYSTEM DATABASE
June 21, 2026 – Present
Designed and implemented a comprehensive Payroll Management System database using SQL, incorporating CRUD(Create, Read, Update, Delete) operations and retrieved data using queries.
PYTHON EXPLORATORY DATA ANALYSIS
June 21, 2026 – Present
Conducted Exploratory Data Analysis (EDA) on a Human Resources dataset to gain actionable insights into employee trends, performance, and satisfaction. Leveraged statistical and visual exploration techniques to extract meaningful patterns and inform strategic decision-making.
INTEGRATION OF Z-NUMBER WITH MCDM AND SIX SIGMA IN RUBBER RING MANUFACTURING INDUSTRY
June 21, 2026 – Present
Data collected in form of Z-number converted to triangular fuzzy number and applied TOPSIS and COPRAS MCDM to rank the best alternative. Six sigma methodology was implemented to understand cause of the defects and rectify, further produce quality products.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analysis, statistics, and quantitative methods, which aligns well with a data-driven culture. The 'INTEGRATION OF Z-NUMBER WITH MCDM AND SIX SIGMA' project shows an inclination towards complex problem-solving and process improvement. However, the professional experience, while demonstrating some transferable skills like data validation and risk assessment, is not directly in a data analyst capacity. This suggests a foundational fit for a data-centric environment, but a lack of direct professional experience in a data analyst role might require some adaptation to a typical data team's workflow and expectations.
Soft Skills & Operational Fit
The candidate lists adaptability, flexibility, attention to detail, teamwork, critical thinking, and problem-solving as soft skills. These are generally well-aligned with a Data Analyst role, which requires meticulous data handling, collaborative problem-solving, and critical assessment of insights. The project descriptions indicate some application of these skills, particularly in EDA and database management. However, the internship experiences are not directly in data analysis roles, which limits the demonstration of these skills in a professional data-centric context.