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Data Analyst with 2+ years in SQL, Python & Data Visualization
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Assessing your cultural and operational fit
Detail-oriented analyst with experience in transforming data into actionable insights that drive business decisions. Proficient in SQL, Python, and data visualization tools like Power BI, with proven ability to analyze trends, monitor KPIs, and build performance dashboards. Seeking to leverage strong analytical skills to contribute to platform growth and enhance user experience as a Data Analyst.
Pondicherry University
MSc. · Statistics
August 1, 2024 – June 30, 2026
Kannur University
BSc. · Statistics
August 1, 2021 – June 30, 2024
Interval
Business Growth Analyst
January 1, 2026 – March 31, 2026
India
Interval
Quality Analyst
October 1, 2024 – December 31, 2025
India
Softroniics
Data Science Intern
September 1, 2023 – May 31, 2024
India
Emotion Detection using CNN
June 1, 2026 – June 1, 2026
Developed an emotion detection system using Convolutional Neural Networks (CNN) to classify facial expressions
Customer Churn Analysis
June 1, 2026 – June 1, 2026
Developed a supervised Machine Learning model to predict customer churn and identify key factors influencing customer retention. Performed data cleaning, feature engineering, and EDA to identify key factors influencing churn.
Competitor Analysis
June 1, 2026 – June 1, 2026
Conducted competitor analysis and performed quality checks to ensure compliance with internal standards and client requirements. Used web scraping techniques to fetch and analyze data, enabling a better understanding of market trends and competitor performance. Analyzed key performance indicators to evaluate process efficiency and recommended data-driven improvements to enhance overall quality.
Cultural Fit Analysis
The candidate's project diversity, including competitor analysis, emotion detection, and customer churn analysis, shows a broad interest in applying data analysis to different domains. Their experience as a Business Growth Analyst and Quality Analyst, combined with a Data Science internship, indicates adaptability and a willingness to work across various business functions. The academic background in Statistics further strengthens their foundational knowledge, aligning well with roles requiring rigorous data interpretation and statistical reasoning.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical skills, critical thinking, and problem-solving abilities through their project descriptions and work experience. Their experience in collecting and analyzing customer feedback indicates a customer-centric approach. The ability to develop data-driven reports and dashboards suggests good documentation and presentation skills, which are crucial for operational fit in a data analyst role.