Data Analyst with less than a year in Data Visualization & Machine Learning
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Enthusiastic and detail-oriented Data Analytics professional with a Bachelor of Engineering in Computer Science, passionate about turning raw data into meaningful business insights. Possesses a strong foundation in data collection, cleaning, and interpretation using Python, SQL, Excel, and Power BI. Proven ability to identify critical trends, ensure data accuracy across complex datasets, and create interactive reports and dashboards to provide data-driven recommendations. Eager to bring strong problem-solving skills, collaboration, and analytical energy to support Polluxa in driving smarter business decisions.
Parul Institute of Technology
Bachelor of Engineering · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Bonafide Research & Marketing Pvt Ltd
Industrial Research Analyst
October 1, 2025 – January 1, 2026
Vadodara, Gujarat, India
Slash Mark IT Solutions
Data Analyst Intern
January 1, 2025 – April 1, 2025
India
Financial Analysis Dashboard
January 1, 2026 – Present
• Built a centralized, comprehensive reporting and dashboard tool to monitor key performance metrics, operational expenses, and revenue trends across daily, weekly, and monthly cycles. • Integrated data from diverse sources using advanced SQL queries and PowerQuery, automating manual data retrieval and maximizing reporting accuracy. • Enabled real-time visibility into business metrics, allowing management to leverage data-driven insights for cross-functional process improvements.
View ProjectTelecom Customer Churn Analysis
January 1, 2026 – Present
• Analyzed 6,418 customer records using Pandas and NumPy to uncover critical behavior patterns, customer loss indicators, and hidden trends. • Developed an interactive Power BI dashboard featuring rich charts and data visualizations to surface high-risk customer segments for proactive retention strategies.
View ProjectMaster SQL for Data Analysis
Coursera
January 1, 2026 – Present
Data Analytics Essentials
Cisco
January 1, 2026 – Present
Data Fundamentals & Classification
IBM
January 1, 2026 – Present
Introduction to MS Excel
SimpliLearn
January 1, 2026 – Present
Excel Basics for Data Analysis
Coursera
January 1, 2025 – Present
Data Analytics with Python
NPTEL
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects and work experience show a good breadth of skills relevant to data analysis, including financial analysis and customer churn analysis. Their academic background in Computer Science & Engineering, coupled with various certifications, indicates a proactive approach to learning and skill development. The candidate's eagerness to support business decisions aligns well with a results-oriented culture. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, collaboration, and analytical energy. Their experience in collaborating with multi-departmental teams and communicating insights to non-technical stakeholders indicates good operational fit. The professional summary highlights enthusiasm and detail-orientation, which are positive attributes for a data analyst role.