About
Python focused Junior Data Analyst with 2 years of experience under Banking and Financial Services- Americas in LTM specializing in Data Analytics and Business Intelligence, skilled in Python, SQL, Microsoft Excel, and data visualization tools such as Power BI and Tableau. Experienced in transforming operational data into performance metrics, analytical dashboards, and actionable insights using Python (Pandas, NumPy, Matplotlib, Seaborn etc.), SQL, Power BI, and MS Excel. Proven ability to collect, clean, and analyze large datasets to build interactive dashboards and reports, and support data-driven decision-making across cross-functional teams. Being a proactive self-starter, integrated advanced data analytics with cutting-edge AI tools (Claude code and others) to automate workflows, optimize processes and reduce task turnaround durations. Also possess working knowledge of Java programming, including basic object-oriented programming concepts for troubleshooting application components. Strong analytical, critical thinking, and problem-solving skills with excellent attention to detail and data accuracy.
Skills & Expertise (34)
Work Experience
Junior Data Analyst
LTM
Oct 2024 - Oct 2026
Collected, cleaned, and analyzed large datasets from multiple sources to generate actionable business insights for stakeholders across product, engineering, and operations teams. Developed interactive dashboards and reports using Power BI and Tableau to track key performance indicators (KPIs) and support business decision-making. Wrote complex SQL queries to extract, transform, and analyze data from relational databases, improving reporting turnaround time by 99%. Performed regular data validation and quality checks to ensure data accuracy and consistency across reporting systems. Identified trends, patterns, and opportunities through statistical analysis, presenting findings to business stakeholders through clear visualizations and reports. Collaborated with cross-functional teams to define business metrics, build data models, and streamline ETL processes for recurring reporting needs. Implemented AI-driven workflows and productivity tools (such as Claude Code, NotebookLM, n8n, Gamma, and Perplexity) to automate routine operational tasks, reducing manual effort by 5 hours weekly.
Education
B.Tech. Graduate in Electronics and Instrumentation Engineering - Narula Institute of Technology
- · Afghanistan
Certifications
Microsoft Power BI: Data Analysis & AI Dashboards
Udemy · 2026
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Skills (34)
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