Data Analyst with 1+ years in Data Cleaning & Visualization.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, Excel, Power BI and Tableau, with strong abilities in data cleaning, analysis, dashboards and KPI tracking. Experienced in generating insights, organizing datasets and supporting decision-making through clear reporting, visualization and analytical problem-solving.
North Maharashtra University
Bachelor of Computer Science and Technology · Computer Science and Technology
N/A – June 30, 2026
Hover Technologies Pvt. Ltd
Data Analyst Intern
March 1, 2025 – March 1, 2026
Pune, Maharashtra, India
Customer Churn Analysis – Python
June 21, 2026 – Present
Analyzed behavioral patterns for 7,043 telecom users using Python and EDA techniques, identifying high-risk churn segments and improving model understanding for decision teams. Engineered new features such as tenure bands and contract buckets, improving segmentation clarity by 28% and enabling stronger churn pattern identification. Created 11 visualizations, including heatmaps and distribution plots, highlighting customer clusters and revealing trends with more than 38% churn concentration in specific segments. Proposed early engagement strategies based on insights, improving potential customer retention opportunities by providing data-supported recommendations for at-risk categories.
Cultural Fit Analysis
The candidate's project diversity, including a personal project on customer churn analysis and an internship focused on business reporting, indicates a proactive and results-oriented mindset. Their experience aligns well with a Data Analyst role, showing a breadth of skills in data manipulation, visualization, and business intelligence. The focus on improving efficiency and accuracy suggests a good cultural fit for data-driven organizations.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through their experience in improving reporting efficiency and accuracy, and their collaborative approach to defining KPIs. Their project work shows initiative in problem-solving and generating actionable insights. Communication skills appear adequate based on the clarity of project and experience descriptions.