Syifaa Syahira Almasyhur

Data Science Engineer

Key Strengths

Demonstrated hands-on experience in data analysis, machine learning, and AI-driven solution development using Python, SQL, and Power BI.
Experience in building predictive models and real-world applications, including computer vision and LLM-based systems.
Relevant coursework in Machine Learning, Database Systems, Data Structures & Algorithms, Data Mining, Statistics & Probability, and Big Data Analytics.
Practical experience with data preprocessing, cleaning, and exploratory data analysis (EDA) on structured datasets.
Experience developing machine learning classification models (Random Forest, Logistic Regression) and evaluating performance metrics (accuracy, ROC AUC).
Exposure to Large Language Models (LLM) for natural language-based data exploration and chatbot development.
Familiarity with various tools and software including Power BI, Dataiku, Databricks, Pandas, NumPy, Scikit-learn, Docker, and Cloudera.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's involvement in various projects (Predictive Modeling, AI-Based Sign Language Detection, Web Development, LLM Chatbot) and organizational experience (HIMTI, Robotics Tutor) indicates a proactive and diverse interest in technology and community engagement. This suggests a good cultural fit for roles that value continuous learning, innovation, and collaboration. The target role of Data Science Engineer aligns well with the candidate's stated interests and project experience, demonstrating a clear career path focus.

Soft Skills & Operational Fit

The candidate lists strong soft skills such as Communication, Teamwork, Problem Solving, Critical Thinking, Adaptability, Time Management, Initiative, and Presentation Skills. These are crucial for a Data Science Engineer role, especially in collaborative environments. However, without specific examples or assessment results, the depth of these skills cannot be fully validated. The candidate's experience as a Robotics Tutor and Public Relation Officer suggests good interpersonal and organizational skills, which are beneficial for operational fit.

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About

I have experience in data science and artificial intelligence through both academic projects and practical experimentation. I have worked on machine learning projects involving data preprocessing, model training, and evaluation using Python and common ML libraries One of my key experiences includes building a chatbot project using Dataiku, where I implemented and compared different large language models, including Databricks LLM and GPT-4o mini, to evaluate performance differences in terms of response quality and efficiency In addition, I have explored various machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Support Vector Machines for classification tasks, including fraud detection and medical-related datasets. I am also currently improving model performance through feature engineering, hyperparameter tuning, and ensemble methods Through these experiences, I have developed a strong understanding of the end-to-end data science workflow, from data cleaning and exploration to model deployment and evaluation. I am eager to further develop my skills and contribute to real-world AI projects

Key Strengths

Demonstrated hands-on experience in data analysis, machine learning, and AI-driven solution development using Python, SQL, and Power BI.
Experience in building predictive models and real-world applications, including computer vision and LLM-based systems.
Relevant coursework in Machine Learning, Database Systems, Data Structures & Algorithms, Data Mining, Statistics & Probability, and Big Data Analytics.
Practical experience with data preprocessing, cleaning, and exploratory data analysis (EDA) on structured datasets.
Experience developing machine learning classification models (Random Forest, Logistic Regression) and evaluating performance metrics (accuracy, ROC AUC).
Exposure to Large Language Models (LLM) for natural language-based data exploration and chatbot development.
Familiarity with various tools and software including Power BI, Dataiku, Databricks, Pandas, NumPy, Scikit-learn, Docker, and Cloudera.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Syifaa Syahira Almasyhur

Key Strengths

Cultural & Operational Fit

About

Skills

Education

Key Strengths

Cultural & Operational Fit