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Data Science with less than a year in AI/ML, Fullstack Development, and Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To work in the fields of Data Science and Artificial Intelligence, focusing on data analysis and processing, applied statistics, analytical modeling, machine learning, AI techniques, and data visualization and communication, contributing to decision-making processes in academic, business, and scientific research projects.
Federal University of Paraíba (UFPB)
Bachelor's Degree · Data Science for Business
August 1, 2023 – Present
MGITECH
Insights Intern
May 1, 2026 – Present
India
Federal University of Paraíba (UFPB)
Research Student (Scholarship Holder)
September 1, 2025 – Present
India
Financial Asset Portfolio Optimization
June 23, 2026 – Present
Applied optimization concepts to financial portfolio management. Implemented allocation strategies based on two objectives: risk minimization for a target return and expected return maximization. Modeled using Markowitz Portfolio Theory and the Efficient Frontier. Collected and preprocessed financial data based on historical daily asset return variations. Formulated and solved optimization problems using the Ipopt solver. Visualized results showing optimal investment allocations for each asset according to the selected objective. Languages and technologies: Python, NumPy, Pandas, SciPy, Ipopt.
Econometric Study of Gold Prices (2007–2022)
January 1, 2007 – December 31, 2022
Performed econometric analysis of the influence of macroeconomic variables (Consumer Price Index and NYSE Index) on gold prices. Modeled data based on Multiple Linear Regression (OLS). Constructed, cleaned, and preprocessed macroeconomic datasets using Python. Applied statistical tests for heteroscedasticity (Breusch-Pagan), autocorrelation (Durbin-Watson), and multicollinearity (VIF). Conducted statistical significance analysis and interpretation of econometric coefficients. Languages and technologies: Python, Pandas, Yfinance, Statsmodels.
Cultural Fit Analysis
The candidate's profile shows a strong academic background and early career focus on AI and Data Science. The projects and experience are primarily academic or internship-level, which might indicate a need for more exposure to diverse industry environments and larger-scale enterprise challenges. The current roles are highly aligned with the target role, but the breadth of experience outside of AI/RAG is limited, potentially impacting adaptability to broader data science challenges.
Soft Skills & Operational Fit
The candidate's experience in developing conversational AI agents and automating insights suggests strong problem-solving and analytical skills. Their involvement in full-stack development indicates a collaborative and versatile approach. The academic background in Data Science for Business aligns well with roles requiring both technical depth and business understanding.