Data Analyst with 1+ years in Python, SQL & 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
Analytical Data Analyst with 1.5+ years of experience proficient in Python, SQL, Excel, Tableau, and MySQL. Skilled in data cleaning, exploratory data analysis (EDA), dashboard creation, and statistical techniques. Experienced in transforming raw datasets into actionable insights through optimized queries and visualization tools. Focused on delivering data-driven solutions that improve decision-making, reporting accuracy, and business performance.
Haldia Institute of Technology
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
RWS
Associate Engineer
May 1, 2025 – Present
Bengaluru, Karnataka, India
Stock Market Dashboard
June 1, 2025 – June 1, 2025
Used Power BI to clean and merge stock data, parse dates, and calculate daily percentage changes, reducing preprocessing time by 30%. Built 50-day and 100-day moving averages, improving accuracy of trend and volatility analysis by 25%. Designed an interactive dashboard with filters and visualizations (volume, distribution, moving averages), enabling analysts to generate insights 40% faster.
Transaction Data Pipeline & ETL Automation
June 1, 2025 – June 1, 2025
Engineered a comprehensive ETL workflow for extracting, refining, and managing transaction data from PA/PG, BBPS, and PPI platforms, increasing processing efficiency by 30%. Automated transaction data processing and exception handling using Python and SQL, minimizing manual intervention by 30%. Integrated diverse datasets into a unified MySQL repository, enhancing accessibility for compliance monitoring and risk analysis teams by 35%. Performed spreadsheet-driven validation processes to maintain data reliability and consistency, lowering reporting discrepancies by 25%. Prepared dashboard-ready structured datasets to accelerate Power BI reporting workflows, reducing turnaround duration by 30%. Enhanced efficiency of database queries and automation scripts to strengthen scalability and reduce execution latency by 35%.
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with data analysis roles, focusing on practical applications of data manipulation, visualization, and automation. The experience in AML alert generation and transaction data processing indicates an understanding of compliance and risk analysis, which are critical in many business environments. The breadth of tools and techniques used (Python, SQL, Power BI, Tableau, ETL, EDA) suggests adaptability and a willingness to learn diverse technologies, contributing positively to cultural fit in a dynamic team.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a focus on efficiency improvements and problem-solving, suggesting a results-oriented approach. The ability to reduce manual intervention and accelerate insight generation indicates a proactive and analytical mindset. While direct evidence of teamwork or stress handling is not explicitly provided, the nature of data analysis roles often requires collaboration and attention to detail under pressure.