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Data with 3+ years in Data Science & AI/ML
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Results-driven Data Analyst with 4+ years of progressive experience transforming complex datasets into actionable business insights. Proven track record of designing interactive dashboards, building robust data pipelines, and applying advanced analytics to support strategic decision-making across cross-functional teams. Strong foundation in SQL, Power BI, Tableau, and Python, complemented by expertise in machine learning and Al integration for predictive analytics. Adept at communicating data-driven findings to both technical and non-technical stakeholders to drive measurable business value.
The Islamia University of Bahawalpur
BS Computer Science · Machine Learning
August 1, 2021 – June 30, 2025
Alkabir Developer
Data Analyst
May 1, 2025 – Present
Lahore, Punjab, Pakistan
iaxon
Data Analyst & Junior AI Engineer
December 1, 2022 – March 1, 2025
Rahim Yar Khan, Punjab, Pakistan
LLM-Powered Data Interpretation Assistant (LangChain / RAG)
June 1, 2026 – June 1, 2026
Developed a retrieval-augmented generation (RAG) pipeline using LangChain to automate natural language querying of business datasets, reducing manual analysis time significantly. Integrated LLM outputs into existing data workflows, enabling non-technical team members to extract insights from structured data using plain-language questions.
Business Intelligence Reporting Suite (Power BI / Tableau)
June 1, 2026 – June 1, 2026
Designed end-to-end BI reporting solutions integrating SQL data sources with Power BI and Tableau dashboards, enabling C-suite stakeholders to monitor KPIs in real time. Automated data refresh pipelines and applied DAX measures to deliver dynamic, drill-through reports that replaced manual Excel-based reporting workflows.
Stock Price Forecasting Dashboard
January 1, 2025 – June 1, 2026
Built a production-ready LSTM neural network for time-series stock price forecasting; integrated results into an interactive Streamlit dashboard for real-time visualization. Implemented data normalization, sequence windowing, and model tuning to minimize RMSE on live market data; visualized forecast vs. actual price comparisons using Matplotlib.
Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from LLM-powered assistants to stock price forecasting and BI reporting suites, indicates a broad interest and adaptability. Their experience in both professional and academic settings, coupled with a focus on real-world business problems, suggests a practical and results-oriented mindset. The explicit mention of cross-functional collaboration in their experience aligns with a team-oriented culture. The target role 'Data' is well-aligned with their extensive experience in data analysis, machine learning, and BI.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as cross-functional collaboration, data storytelling, problem-solving, and analytical thinking, which are crucial for a senior data role. Their experience in automating workflows and ensuring data integrity indicates a focus on operational efficiency and reliability. The candidate's ability to translate complex data into clear visual narratives aligns well with the need for effective communication in a data-driven environment.