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Data Analyst Intern with 8+ years in Finance and 0.4 Years in Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with 6+ years of experience in finance and accounting, now transitioning into data analytics. Skilled in Python, SQL, Power BI, Tableau, and machine learning. Adept at building predictive models, automating reporting workflows, and visualizing complex data to drive business decisions. Brings a strong analytical background and finance domain knowledge.
Gujarat University
Master of Commerce
August 1, 2016 – June 30, 2018
Gujarat University
Bachelor of Commerce
August 1, 2013 – June 30, 2016
Boston Institute of Analytics
Data Scientist Intern
January 1, 2025 – April 1, 2025
Ahmedabad, Gujarat, India
Sustainedge global
Sr. Finance Associate
April 1, 2022 – Present
Ahmedabad, Gujarat, India
Rutul shah & Associates
Finance Analyst
October 1, 2018 – April 1, 2022
Ahmedabad, Gujarat, India
Fraud Detection Analysis - Data Modelling and Cleaning
January 1, 2025 – April 1, 2025
• This project analyzes and predicts fraudulent transactions in mobile financial services using machine learning techniques. The model is trained on transaction data to detect anomalies and fraudulent activities in real time. Both traditional machine learning (Random Forest, XGBoost) and deep learning approaches (Autoencoders) are used to enhance fraud detection accuracy. The solution is optimized for real-time detection and deployed via with a Power BI dashboard for insights and trend analysis.
Data Science & AI Certification
Boston Institute of Analytics
October 1, 2024 – January 1, 2025
Cultural Fit Analysis
The candidate's background in finance, combined with recent data science training and projects, suggests a strong drive for career transition and continuous learning. The 'Fraud Detection Analysis' project aligns well with analytical roles, demonstrating initiative. The target role of 'Data Analyst Intern' is appropriate given the recent shift and internship experience. The breadth of skills (Python, SQL, ML, DL, Power BI, Tableau) indicates a versatile individual. The long tenure in finance roles before transitioning shows stability and commitment.
Soft Skills & Operational Fit
The candidate's resume highlights a transition from finance to data analytics, suggesting adaptability and a proactive learning attitude. The description of using data to gain insights and inform decision-making in their Sr. Finance Associate role indicates an analytical mindset. The project work demonstrates problem-solving skills and an ability to work with complex data. However, without specific behavioral assessment data, it's difficult to fully assess stress handling, team collaboration, or work attitude.