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Data Analyst with 1+ years in SQL, Python & Data Visualization
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 a strong foundation in data analysis, SQL, and data visualization. Skilled in extracting, cleaning, and analyzing data to generate meaningful insights and support data-driven decision-making. Proficient in tools such as Python, Ad Excel, and Power BI for data manipulation and visualization. Possesses a keen eye for detail and a problem-solving mindset, with a strong interest in transforming raw data into actionable insights.
Dr. D. Y. Patil Centre for Management & Research
MCA- Master of Computer Application · Computer Application
N/A – Present
S. M. Joshi College Hadapsar, Savitribai Phule Pune University
BCA- (Science) Bachelor of Computer Application · Computer Application
N/A – June 30, 2024
Comfort Techno Services
Banking Operations Reconciliation (Auto Finance)
April 1, 2025 – Present
India
Banking System Database
January 1, 2025 – Present
Developed a structured banking database system to manage customer accounts and financial transactions. Implemented advanced SQL queries including joins, subqueries, and aggregations for reporting and analysis.
Full Stack Developer Plush – Java
Seed Infotech Pvt Ltd
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic project in a 'Banking System Database' and professional experience in 'Banking Operations Reconciliation' align well with roles requiring financial data understanding. The breadth of skills listed (SQL, Python, Excel, Power BI/Tableau, Java, C++, MongoDB, Angular) indicates a willingness to learn diverse technologies, which can be a positive for adaptability. However, the primary focus on data analysis and SQL is clear, suggesting a good fit for data-centric teams.
Soft Skills & Operational Fit
The candidate's experience in banking operations reconciliation suggests an aptitude for detail-oriented tasks, problem-solving, and ensuring data accuracy. The summary also highlights a keen eye for detail and a problem-solving mindset, which are valuable for a Data Analyst role. The academic project indicates an ability to work on structured development tasks.