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Data Analyst with less than a year in Data Cleaning & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience gained through internship and academic projects. Strong proficiency in Python, SQL, Excel, Power BI, and Tableau, with practical experience in data cleaning, data validation, exploratory data analysis (EDA), dashboard development, and data visualization. Adept at transforming raw data into meaningful insights to support data-driven decision making in entry-level data analyst roles.
CSMSS College of Engineering, Aurangabad
B.Tech · Computer Science & Engineering
August 1, 2023 – June 30, 2026
Government Polytechnic, Ambad
Diploma · Information Technology
August 1, 2020 – June 30, 2023
Mountreach Solution Pvt. Ltd.
Data Analyst Intern
June 1, 2024 – September 1, 2024
India
Customer Behavior Data Analysis
June 1, 2026 – Present
• Analyzed 10,000+ customer records to identify purchasing trends and retention metrics. • Performed data cleaning, EDA, RFM segmentation, and churn analysis. • Built interactive Power BI dashboards for reporting and stakeholder insights.
Netflix Data Analysis & Visualization
June 1, 2026 – Present
• Analyzed 8,000+ Netflix movies and TV shows to identify genre and rating trends. • Created Tableau dashboards to visualize content distribution and growth patterns. • Conducted geospatial and temporal analysis to uncover regional and yearly insights.
Oracle Cloud Infrastructure 2025 Certified
Oracle
June 1, 2026 – Present
Python Essentials
Cisco Networking Academy
June 1, 2026 – Present
TCS ION Career Edge - Young Professional
TCS ION
June 1, 2026 – Present
Database Management Systems (DBMS)
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across different domains (customer behavior, entertainment). The internship experience shows an ability to work in a professional environment. The breadth of tools and concepts covered (Python, SQL, Power BI, Tableau, EDA, ETL, KPI analysis) suggests a willingness to learn and adapt, which aligns with a growth-oriented culture. However, the limited professional experience means cultural fit is primarily inferred from academic and internship activities.
Soft Skills & Operational Fit
The candidate's internship experience highlights collaboration with cross-functional teams and task tracking using Jira, indicating a foundational understanding of operational workflows and teamwork. The project descriptions suggest an ability to translate data into insights for stakeholders, which is crucial for operational fit. However, without specific psychometric or English test scores, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and communication clarity cannot be made.