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Data Analyst with less than a year in Python, SQL, Excel & Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and detail-oriented Data Analyst fresher with a strong foundation in Python, SQL, Excel and Power BI. Seeking an opportunity to apply analytical and problem-solving skills to transform data into meaningful insights that support business decision-making. Eager to learn, grow, and contribute to organizational success by leveraging data-driven approaches and continuously enhancing technical and analytical expertise.
SNS College of Engineering, Coimbatore
B.E. · Electronics and Communication Engineering
N/A – Present
Pope Memorial Hr Sec School, Thoothukudi
Secondary School Leaving Certificate (SSLC)
N/A – Present
Pope Memorial Hr Sec School, Thoothukudi
Higher Secondary Certificate (HSC)
N/A – Present
Bluestock Fintech
Data Analyst – Intern
May 1, 2026 – Present
India
N100 Financial Data Analysis
June 1, 2026 – Present
In this project, I analyzed the financial performance of 100 companies by examining their Profit & Loss Statements, Balance Sheets, and other financial datasets. Using Python, I cleaned and processed the data, calculated key financial metrics such as revenue growth, profitability, liquidity, and leverage ratios, and identified performance trends across companies. SQL was used to efficiently query and manage large volumes of financial data. Based on the analysis, I developed interactive Power BI dashboards to visualize critical financial KPIs, compare company performance, and uncover business insights that could support strategic decision-making and financial planning.
Mutual Fund Analytics Platform
May 1, 2026 – Present
Built an end-to-end mutual fund analytics platform using Python, SQL, and Power BI, processing 46,000+ NAV records and investor transaction data through ETL pipelines. Performed EDA and risk-performance analysis using Sharpe Ratio, Alpha, Beta, and Maximum Drawdown metrics, and developed interactive Power BI dashboards for fund performance, SIP trends, investor demographics, and benchmark comparisons.
Generative AI Foundations
AWS
August 1, 2025 – Present
Azure AI Fundamentals
Microsoft
August 1, 2025 – Present
SnowPro Associate
Snowflake
July 1, 2025 – Present
AI Foundations Associate
Oracle
May 1, 2025 – Present
Python
Prep Insta
January 1, 2025 – Present
AI Associate and Specialist
Salesforce
November 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, focusing on financial data analysis, aligns well with the target role of Data Analyst, especially in a fintech context. The breadth of certifications in various AI/ML and cloud technologies (Salesforce, AWS, Snowflake, Oracle, Microsoft) demonstrates a strong drive for continuous learning and staying current with industry trends, which is a positive cultural indicator for a growth-oriented organization. The candidate's objective also emphasizes eagerness to learn and contribute, suggesting a good fit for a collaborative and innovative environment.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, quick learning, team collaboration, and adaptability as non-technical skills. These are crucial for a data analyst role, suggesting a good operational fit. The project descriptions indicate an ability to work independently on complex tasks and collaborate by ensuring data accuracy and generating actionable insights.