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Data Science with less than a year in Data Analytics, Python, and SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with a strong foundation in Data Analytics, Python Programming, SQL. Experienced in developing data-driven projects involving data cleaning, exploratory data analysis (EDA), visualization, and dashboard development. Seeking opportunities to contribute technical expertise and problem-solving abilities in software development, data analytics, or AI-driven environments.
Vaageshwari Engineering College, Karim Nagar
Master of Computer Applications (MCA) · Computer Applications
N/A – June 30, 2025
Nalanda Degree College, Jagtial
Bachelor of Science · Data Science
N/A – June 30, 2023
Alphores Junior College, Jagtial
XII MPC
N/A – May 31, 2020
Bharath High School, Jagtial
X
N/A – May 31, 2018
Interactive Business Analytics Dashboard in Power BI
June 1, 2026 – Present
Built an interactive data analytics project using Python, SQL, and visualization tools to uncover real-world business insights from complex datasets.
Credit Card Fraud Detection Analysis
June 1, 2026 – Present
Analyzed credit card transaction data using Python, Pandas, and NumPy to identify patterns associated with fraudulent activities. Built visualizations and evaluated machine learning models to detect fraud, enabling data-driven risk assessment and decision-making.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data science to real-world problems (fraud detection, business analytics). The listed skills and project types suggest a foundational fit for data-centric roles. However, the lack of professional experience or diverse project types limits the assessment of broader cultural fit or adaptability to different team environments.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on analytical problem-solving and data-driven decision-making, which are crucial for a Data Science role. However, without psychometric or English test scores, it's difficult to assess work attitude, stress handling, team collaboration, or communication clarity beyond project descriptions.