06/13/2025 updated
100 % available
Data Scientist and Python Developer with Machine Learning Expertise
wah cantt, Pakistan
Only remote
Bachelors in Computer ScienceClean Code PrinciplesApplication Programming Interfaces (APIs)Artificial IntelligenceAlgorithmsData AnalysisAutomationBusiness RequirementsData CollectionWeb ScrapingRelational DatabasesFinancesExperimentationForecastingPython (Programming Language)Machine Learning
As a passionate and detail-oriented Data Analyst with a strong background in Python, Machine Learning, and Data Science, I specialize in turning complex data into clear, actionable insights that help businesses make smarter decisions.
I hold a Bachelor’s degree in Computer Science and have completed multiple internships with organizations like NESCOM and DeveloperHub Corporation, where I worked on real-world projects involving data automation, AI research, and large language models (LLMs). My academic and internship experiences have equipped me with a deep understanding of both theoretical concepts and practical implementation.
My core skills include:
✅ Python Programming – I use Python daily for data manipulation, automation, and machine learning tasks. I’m highly proficient in libraries like Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and TensorFlow.
✅ Data Analysis & Visualization – I can clean messy datasets, identify key patterns, and visualize data using Power BI, Matplotlib, and Seaborn. I focus on insights that matter to the business, not just charts that look good.
✅ Machine Learning & AI – I have built and deployed models for time series forecasting, anomaly detection, and text-based emotion recognition using algorithms like Random Forests, Isolation Forest, DBSCAN, LSTM, and BERT.
✅ Data Automation & APIs – I’ve worked on automating workflows using Python scripts, REST APIs, and web scraping to gather or update data in real time.
✅ Git, Jupyter, and SQL – I’m comfortable using Git for version control, Jupyter for experimentation, and SQL for working with relational databases.
What sets me apart is my ability to understand business needs and translate data into value. Whether you're a startup looking for quick insights or a company aiming to build scalable AI solutions, I bring a combination of technical depth and communication clarity to the table.
Some highlights of my work include:
Let’s collaborate to make your data work for you. I’m excited to help you solve challenging problems and bring your ideas to life.
I hold a Bachelor’s degree in Computer Science and have completed multiple internships with organizations like NESCOM and DeveloperHub Corporation, where I worked on real-world projects involving data automation, AI research, and large language models (LLMs). My academic and internship experiences have equipped me with a deep understanding of both theoretical concepts and practical implementation.
My core skills include:
✅ Python Programming – I use Python daily for data manipulation, automation, and machine learning tasks. I’m highly proficient in libraries like Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and TensorFlow.
✅ Data Analysis & Visualization – I can clean messy datasets, identify key patterns, and visualize data using Power BI, Matplotlib, and Seaborn. I focus on insights that matter to the business, not just charts that look good.
✅ Machine Learning & AI – I have built and deployed models for time series forecasting, anomaly detection, and text-based emotion recognition using algorithms like Random Forests, Isolation Forest, DBSCAN, LSTM, and BERT.
✅ Data Automation & APIs – I’ve worked on automating workflows using Python scripts, REST APIs, and web scraping to gather or update data in real time.
✅ Git, Jupyter, and SQL – I’m comfortable using Git for version control, Jupyter for experimentation, and SQL for working with relational databases.
What sets me apart is my ability to understand business needs and translate data into value. Whether you're a startup looking for quick insights or a company aiming to build scalable AI solutions, I bring a combination of technical depth and communication clarity to the table.
Some highlights of my work include:
- Building a real-time financial anomaly detection system using Yahoo Finance data.
- Designing a multi-label emotion classifier using the GoEmotions dataset and fine-tuning BERT.
- Automating daily reporting tasks with Python, reducing manual workload by 70%.
Let’s collaborate to make your data work for you. I’m excited to help you solve challenging problems and bring your ideas to life.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishGood
Project history
Worked on applied machine learning and data processing projects focused on text classification problems. Developed spam detection models, built fake news detection systems using NLP techniques, and integrated trend data for misinformation analysis.
Gained hands-on experience with artificial intelligence and cloud computing technologies. Studied and implemented various AI models including ANNs, CNNs, and RNNs. Explored LLMs, NLP techniques, and GPU acceleration for AI model training.
Helped set up and manage user accounts and permissions. Supported efforts to improve database performance and troubleshoot database issues. Assisted with data security measures.