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Data Analyst with 3+ years in Data Analysis & 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
Data Analyst with 3+ years of experience in SAS, SQL, Excel, and Tableau. Skilled in cleaning, analyzing, and visualizing data to generate insights and support data-driven decision-making. Interested in collaborating on meaningful analytical work in fast-paced environments.
Fergusson College, Pune
B.Sc. · Statistics
N/A – June 30, 2020
Mithibai College, Mumbai
M.Sc. · Statistics
N/A – June 30, 2022
Tata Consultancy Services
PNC Bank - Analytics and Reporting
August 1, 2022 – Present
Thane, Maharashtra, India
CITI Bank
Model execution
June 1, 2022 – August 1, 2022
India
Era of digital payments
January 1, 2022 – May 1, 2022
Examined digital payment adoption using statistical techniques (Chi-square, ARIMA, Regression) on survey data. Identified key drivers, user behavior, challenges, and forecasted growth trends in UPI transactions.
External Debt-An asset of liability
January 1, 2020 – April 1, 2020
Researched India's external debt using RBI and World Bank data with time series models(ARIMA, Holt's) and regression techniques. Identified key factors influencing debt and performed comparative analysis across developing countries to derive economic insights.
Cultural Fit Analysis
The candidate's experience in both CITI Bank and Tata Consultancy Services (PNC Bank project) shows adaptability to different corporate environments, particularly within the financial sector. The academic projects demonstrate initiative and a research-oriented approach. The target role of 'Data Analyst' aligns well with the candidate's educational background and professional experience in data processing, analysis, and reporting. The breadth of tools and statistical techniques used suggests a willingness to learn and apply diverse methodologies.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with cross-functional teams (modelling, risk, finance) and manage production cycles, indicating good operational fit. The project descriptions suggest an analytical mindset and problem-solving approach. However, without specific psychometric or English test scores, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.