Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science with 1+ years in Machine Learning & Predictive Analytics
Data Analytics and Machine Learning professional with a background in Computational Finance and Mathematical Sciences (Data Science). Experienced in data cleaning, statistical analysis, machine learning model development, predictive analytics, and business intelligence reporting across healthcare, financial services, and image analytics domains. Skilled in transforming large and complex datasets into actionable insights using Python, SQL, Power BI, Excel, R, and machine learning techniques. Experience developing predictive models, performing data validation, conducting statistical testing, and creating analytical dashboards to support data-driven decision-making. Strong foundation in data preprocessing, feature engineering, visualization, and stakeholder-focused reporting. Passionate about leveraging analytics and emerging AI technologies to solve business problems and improve operational outcomes.
University of Wollongong (UOW)
Master of Mathematical sciences
August 1, 2023 – June 30, 2025
NED University of Engineering & Technology
Bachelor of Computational Finance
N/A – June 30, 2017
Quantium
Quantium Retail Analysis
January 1, 2023 – December 31, 2023
India
Sunshines cable
Junior Accountant
January 1, 2020 – December 31, 2020
Karachi, Sindh, Pakistan
Cultural Fit Analysis
The candidate's academic background and project diversity (healthcare, banking, image analytics, NLP) indicate a strong interest in applying data science across various domains. The internship at Quantium suggests an exposure to industry practices. However, the limited professional experience (one internship, one junior accountant role) and lack of explicit team-based project descriptions make it difficult to fully assess cultural fit, especially regarding collaboration and adaptability in a dynamic team environment.
Soft Skills & Operational Fit
The candidate's resume highlights experience in stakeholder reporting and documentation, suggesting an understanding of communicating technical findings to non-technical audiences. The project descriptions imply an ability to work on complex problems and deliver solutions. However, without direct assessment data on collaboration or problem-solving in a team setting, a comprehensive evaluation of soft skills and operational fit is limited.