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Data Analyst with less than a year in Python, SQL & Power BI for financial and operational data anal
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Assessing your cultural and operational fit
Data Analyst working mainly with Python, SQL, PostgreSQL, and Power BI to clean and analyze financial and operational data. At Bluestock Fintech, I worked on data validation and transformation for a Nifty 100 financial intelligence system. I also built an NL-to-SQL Streamlit app that lets non-technical users query datasets and get insights without writing code. I'm interested in taking messy, real-world data and turning it into dashboards and reports people can actually use.
MES College Marampally, MG-University
B.voc · Software Development and System Administration
November 1, 2022 – May 1, 2025
Bluestock Fintech
Data Analyst Intern
April 1, 2026 – May 1, 2026
India
Luminar Technolab
Data Science Intern
June 1, 2025 – February 1, 2026
India
Natural Language Data Analytics System
June 1, 2026 – Present
Built a data analytics application that converts natural language questions into SQL queries for easier business data exploration. Performed SQL-based querying, exploratory data analysis (EDA), chart generation, and insight summarization for structured datasets. Designed an interactive dashboard to help non-technical users analyze trends and extract insights without coding.
BPO Job Market Analysis
June 1, 2026 – Present
Collected and standardized job market data from multiple hiring platforms to analyze salary trends, hiring demand, shift patterns, and role distribution. Performed data cleaning, normalization, and exploratory analysis on structured datasets to identify meaningful hiring insights. Built comparative analysis reports using Excel and data visualization techniques to support trend identification and decision-making.
Introduction to Data Analytics
IBM
June 1, 2026 – Present
Python and Machine Learning
AtMiOS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships demonstrate a strong interest in data analysis and its practical applications, aligning well with a Data Analyst role. The diversity in projects (NLP-driven analytics, job market analysis, financial data) shows adaptability and a broad interest in different data domains. The use of various tools like Python, SQL, Excel, Power BI, and Streamlit indicates a willingness to learn and apply different technologies, which is a positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex data into actionable insights for non-technical users, suggesting good problem-solving and communication skills. The focus on building interactive tools implies a user-centric approach. However, the short duration of internships might indicate limited exposure to long-term project cycles or complex operational challenges.