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Registration: 29.07.2026

Muhammad Farhan Naveed

Specialization: Data Analyst
Data Analyst with hands-on experience in SQL-driven reporting, Power BI dashboard development, and applied machine learning. — SQL query optimization and data integrity monitoring in production environments. — Power BI dashboard development with DAX, Power Query, and custom data modeling. — Machine learning and NLP research using transformer models (XLM-R) on multilingual datasets. — Statistical analysis and predictive modeling with Python (NumPy, Pandas, Scikit-learn). — Experience with Oracle SQL Developer, IBM DB2, Tableau, Siebel CRM, and Excel.
Data Analyst with hands-on experience in SQL-driven reporting, Power BI dashboard development, and applied machine learning. — SQL query optimization and data integrity monitoring in production environments. — Power BI dashboard development with DAX, Power Query, and custom data modeling. — Machine learning and NLP research using transformer models (XLM-R) on multilingual datasets. — Statistical analysis and predictive modeling with Python (NumPy, Pandas, Scikit-learn). — Experience with Oracle SQL Developer, IBM DB2, Tableau, Siebel CRM, and Excel.

Portfolio

Roman-Urdu-Sentiment-Analysis-with-Transformers-and-Ensemble-Models

In this project I worked on implementation of a sentiment analysis framework for Roman Urdu social media text using advanced transformer models (XLM-T, DistilBERT) and ensemble techniques (weighted voting and meta-classifier stacking)

Superstore-Sales-Performance-Dashboard

Built an interactive sales dashboard using PoweBI of a superstore to gain insight into the store's performance through different KPIs like Year, Top customers, Top profit products, Top loss products, Sales (in dollars), and many other KPIs.

Low-Resource-Sentiment-Analysis-using-Zero--Few-Shot-Learning

Built a sentiment analysis system for Urdu and Roman Urdu, two languages with limited high-quality labelled datasets and fewer reliable NLP tools. The project reduces dependence on expensive manual annotation by using zero-shot models, machine translation, few-shot calibration, knowledge distillation, and self-training to generate and refine sentiment labels. It enables accurate classification of text as positive, negative, or neutral, achieving about 76% accuracy for Urdu and 71% for Roman Urdu.

Case-Study-Bellabeat

A case study for google data analytics professional certificate. In this case study, I perform many real-world tasks of a junior data analyst. I imagine am working for Bellabeat, a high-tech manufacturer of health focused products for women, and meet different characters and team members. In order to answer the key business questions, I follow the steps of the data analysis process: ask, prepare, process, analyze, share, and act. For detailed description of the project check the pdf named: Case-Study-2_How-can-a-wellness-technology-company-play-it-smart, on the project Github page.

IBM_Applied_Data_Science_Capstone

IBM Applied Data Science Capstone Project In this project, I take the role of a data scientist working for a new rocket company and try to predict if the first stage will land successfully or not taking different factors into account and using different methodologies/techniques of data analysis, data visualization, and machine learning.

Skills

Python
SQL
Power BI
Machine Learning
Data Analysis
Data Science
Pandas
NumPy
Scikit-learn
Tableau
Oracle SQL
IBM DB2
Excel
Statistical Analysis
NLP
Predictive Modeling
DAX
Power Query
Git
GitHub
Google Sheets
WordPress

Work experience

SAS Operations Expert
08.2023 - 02.2024 |STC Bahrain
SQL, Excel, Oracle SQL Developer, IBM DB2, Siebel CRM, SAS
● Wrote and optimized SQL queries against operational databases, reducing data retrieval time and improving processing efficiency for daily reporting workflows. ● Monitored system diagnostics and ran data integrity checks to catch and reduce processing errors before they reached reporting outputs. ● Built and analyzed campaign performance health-check reports, surfacing insights that contributed to improved marketing ROI. ● Supported technical issue resolution for internal stakeholders, reducing average resolution time and improving service response rates.
WordPress Developer
03.2022 - 05.2023 |WebbyWare
WordPress, PHP, Analytics
● Integrated analytics and reporting plugins into client websites to track performance and inform content/engagement decisions. ● Improved site load time by 15% through technical optimization, directly improving user experience metrics. ● Managed multiple concurrent client projects end-to-end, maintaining delivery timelines and quality standards that supported client retention.

Educational background

Data Science (Masters Degree)
2023 - 2026
FAST NUCES Lahore
Computer Science (Bachelor’s Degree)
2017 - 2021
University of Central Punjab, Lahore

Languages

UrduNativeEnglishProficient