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Data Analyst | SQL | Power BI | Tableau
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in Excel, SQL, Power BI, Tableau, and Python, built through self-driven projects and academic coursework. Skilled in collecting, cleaning, transforming, and visualizing data to generate actionable business insights, with a track record of building interactive dashboards, automating reports, and performing exploratory data analysis (EDA) on real-world datasets. Strong analytical thinker and clear communicator, comfortable collaborating cross-functionally and working independently in remote, fast-paced environments.
PVG’s College of Engineering and Technology, Pune
Bachelor of Engineering · Information Technology
August 1, 2019 – June 30, 2023
Amazon India
Customer Support Associate
September 1, 2023 – June 1, 2025
India
Customer Churn Analysis
January 1, 2023 – December 31, 2023
Analyzed churn behavior across 7,043 telecom customers using Python (Pandas, Matplotlib, Seaborn) to uncover key drivers of customer loss. Performed data cleaning, EDA, and feature engineering, finding a 26.54% overall churn rate and identifying month-to-month contracts, electronic check payments, and early tenure (0–10 months) as the strongest risk factors. Built an interactive Tableau dashboard to visualize churn segments and surface retention insights for business stakeholders. Translated findings into business recommendations, including long-term contract incentives and stronger early-customer engagement, to support retention strategy.
View ProjectSQL Analysis Project – Sakila Database
January 1, 2023 – December 31, 2023
Performed end-to-end SQL analysis on the Sakila Movie Rental Database to extract insights on revenue, customer segmentation, and rental trends. Wrote and optimized SQL queries using joins, aggregations, window functions, and subqueries to analyze customer behavior, rental trends, and revenue performance. Created structured reports covering top movies, revenue analysis, and customer segmentation to support data-driven business recommendations.
View ProjectExploratory Data Analysis – Titanic Dataset
January 1, 2023 – December 31, 2023
Performed data cleaning, feature engineering, and handling of missing values on the Titanic dataset using Python. Conducted trend analysis and statistical exploration using Pandas, NumPy, Matplotlib, and Seaborn to uncover survival patterns. Identified correlations and actionable insights from raw data through visualization and analysis; findings documented in a detailed PDF report.
View ProjectData Science and AIML Certification
Skillians Academy
June 1, 2026 – Present
Python and Machine Learning
PIE Infocom
March 31, 2022 – Present
Achieved 94% on the Data Scientist — Artificial Intelligence exam, indicating a very strong grasp of the subject matter and excellent problem-solving capabilities in this domain.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project diversity (churn analysis, SQL database analysis, EDA on Titanic dataset) shows a proactive learning approach and broad interest within data analysis. The self-driven nature of these projects, combined with certifications, indicates a strong desire for continuous learning and skill development. The target role of Data Analyst aligns well with the candidate's demonstrated technical skills and project experience. The candidate's background in Information Technology and certifications in Python/ML further support a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, analytical thinking, and attention to detail, as highlighted in both project descriptions and the Amazon Customer Support role. Experience in a fast-paced operational environment at Amazon suggests good stress handling and adaptability. The psychometric test score (310/500) indicates moderate logical reasoning and work attitude, which could be further explored. The candidate also lists stakeholder communication and team collaboration as soft skills, which are vital for a Data Analyst.