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Data with 1+ years in Power BI, SQL, Python, and Excel for data-driven insights.
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Motivated and detail-oriented Data Analyst with strong skills in Excel, SQL, Python, and data visualization tools like Power BI and Tableau. Completed hands-on projects involving data cleaning, analysis, and dashboard creation. Strong problem-solving and communication skills with a keen interest in deriving insights from data to support business decisions.
Anjuman Art, Science and Commerce College
Bachelor of Science · Computer Science
N/A – June 30, 2024
Siddhartha Pre-University College
Pre-University College · Computer Science
N/A – May 31, 2020
PVG Vidya Bhawan School
10th SSC
N/A – May 31, 2018
Besant Technologies
Data Analyst Trainee
July 1, 2025 – Present
Mumbai, Maharashtra, India
Social Media Campaign Analysis Dashboard
January 1, 2025 – December 31, 2025
Designed and developed an interactive Power BI dashboard to analyze multi-platform social media campaign performance across Facebook, Instagram, YouTube, LinkedIn, and Google Ads. Performed data cleaning, transformation, and modeling using Power Query and DAX functions to create calculated columns, measures, and KPIs. Visualized key metrics such as Total Revenue, Spend, ROI, and Clicks using dynamic visuals including line charts, bar charts, and donut charts for comparative insights. Helped identify top-performing campaigns and optimize marketing spend efficiency through data-driven insights.
Cybercrime Data Analysis in India using Python
January 1, 2025 – December 31, 2025
Analyzed a dataset of 1,000+ cybercrime records from different Indian states using Python, Pandas, NumPy, Matplotlib, and Seaborn to identify trends and patterns. Performed comprehensive data cleaning, inspection, and transformation to handle missing and inconsistent values. Conducted exploratory data analysis (EDA) to study crime frequency, severity levels, and demographic impacts. Created impactful data visualizations including bar charts, pie charts, and line plots to communicate insights clearly. Identified top crime types such as Online Fraud, Phishing, and Identity Theft; highlighted state-wise and gender-wise financial losses showing high losses in urbanized states.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse data analysis applications, from social media campaigns to cybercrime, indicating adaptability and a broad curiosity. The listed interests in Data Analytics, Business Intelligence, and Statistical Analysis align well with a data-driven culture. The current trainee role suggests a willingness to learn and grow within the field.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, analytical thinking, attention to detail, communication, and team collaboration as soft skills. These are crucial for a data role, indicating a good operational fit. The project descriptions show a structured approach to data analysis, from cleaning to visualization and insight generation.