Syeda Faiqa Fiaz Machine Learning Engineer
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I am Syeda Faiqa Fiaz, a dynamic and results-driven data scientist with a strong foundation in data manipulation, SQL databases, and advanced Python programming. I hold a Bachelor's degree in Computer Science from LCWU, Lahore, and I am currently pursuing a Master's degree in Data Science at PUCIT, New Campus, Lahore. My journey in the field of data science has been marked by a deep passion for uncovering insights from data and applying advanced analytical techniques to solve complex problems.

With over a year of hands-on experience in machine learning (ML), deep learning (DL), generative AI, and large language models (LLMs), I have successfully contributed to a variety of projects spanning healthcare, e-commerce, and educational sectors. My technical expertise includes proficiency in tools like Power BI and Google Looker for data visualization, as well as Excel for creating comprehensive dashboards. I am adept at using Python libraries such as Pandas, NumPy, and SciPy for data analysis and manipulation, and I have experience with machine learning frameworks like Scikit-learn, TensorFlow, and Keras.

In my professional experience as a Data Scientist (Freelancing), I have conducted exploratory data analysis (EDA) and sentiment analysis on e-commerce data, created interactive dashboards for business performance monitoring using Power BI, and developed comprehensive dashboards for financial analysis in Excel. I have also designed and implemented dashboards in Google Looker to track key metrics and support data-driven decision-making.

One of my notable projects includes the development of an innovative IoT-based Smart Pet Collar, which tracks pets' real-time location and monitors their health parameters using GPS technology and sensors. I also conducted an extensive statistical analysis of skin disease prevalence using survey data, providing valuable insights into the demographic and environmental factors influencing skin disease prevalence.
In addition, I have developed a comprehensive web application for automated quiz generation and content management using Streamlit, SQLite, and OpenAI API, aimed at enhancing the learning experience for 9th-grade English classes.

My approach to data science is rooted in a commitment to leveraging analytical skills and technical expertise to solve complex problems and enhance business performance. I am a strong advocate of continuous learning and improvement, always striving to stay updated with the latest advancements in the field of data science.
I am also a firm believer in the importance of effective communication and teamwork. My ability to collaborate with cross-functional teams and clearly articulate complex technical concepts to non-technical stakeholders has been a key factor in my success. I am dedicated to driving data-driven decision-making and delivering actionable insights that can positively impact organizational goals and objectives.

If you are looking for a dedicated and skilled data scientist to join your team, I would be thrilled to discuss how I can contribute to your organization's success. Feel free to connect with me on LinkedIn or reach out via email to discuss potential opportunities.

Subjects

  • Computer Science Beginner-Expert

  • Python Expert

  • SQL Beginner-Expert

  • Mathematics Beginner-Intermediate

  • Data Mining Beginner-Expert

  • Power BI Beginner-Expert

  • Big Data analytics Beginner-Expert

  • Data Visualization Beginner-Intermediate

  • Natural Language Processing Beginner-Expert

  • Power BI dashboard Beginner-Expert

  • Large Language Models LLMs Beginner-Expert

Experience

  • ML Eng (May, 2022–Mar, 2024) at Insight Analytica
    Designed and developed machine learning models for customer behavior prediction, leading to a 20% increase in sales conversion rates. Employed algorithms such as Random Forest, XGBoost, and neural networks.
    Conducted data collection, preprocessing, and feature engineering on large-scale datasets, improving data quality and reducing preprocessing time by 30%.
    Implemented, trained, and fine-tuned models using TensorFlow and Scikit-learn, achieving a 95% accuracy rate in classification tasks.
    Built scalable data pipelines using Apache Spark, automating data ingestion and transformation processes, which reduced manual intervention by 40%.
    Deployed machine learning models on AWS SageMaker, ensuring seamless integration with existing software infrastructure, leading to a 50% reduction in latency.
    Collaborated closely with data scientists, software engineers, and product teams to understand business requirements and develop tailored ML solutions, resulting in three successful product launches.
    Conducted research on state-of-the-art machine learning techniques and implemented ensemble methods, improving model accuracy by 15%.
    Maintained comprehensive documentation of model architecture, data processing workflows, and training processes, ensuring transparency and reproducibility.
    Presented findings and insights to stakeholders, including technical and non-technical teams, through visualizations and reports, aiding in data-driven decision-making.
    Proficient in Python, R, SQL, TensorFlow, PyTorch, and familiar with cloud platforms like AWS, Azure, and GCP, along with containerization tools such as Docker and Kubernetes.

Education

  • Data Science (Oct, 2023–now) from Punjab University College of Information Technology (PUCIT)
  • Data Mining (Sep, 2020–Mar, 2021) from PAF IT Academy Lahore
  • BSCS (May, 2019–Jun, 2023) from Govt. Post Graduate College Gulberg Lahore
  • Higher Secondary (May, 2017–May, 2019) from Aspire Group of Colleges Lahore
  • Secondary (Jun, 2015–Jun, 2017) from Qurban girls high school

Fee details

    Rs1,500–2,000/hour (US$5.39–7.18/hour)

    Charges may be change according to requirements

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