Data Analyst with 1+ years in Financial Analysis & Customer Support
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented professional with 1.3 years of experience across data analysis, financial operations, and customer support. Skilled in utilizing tools like Python, R, and MS Office for data-driven decision-making and financial modeling. Possesses strong analytical thinking, problem-solving abilities, and a proven track record of maintaining high customer satisfaction and contributing to organizational efficiency through meticulous record-keeping and process improvement.
Aligarh Muslim University
M.A. · Economics
August 1, 2023 – June 30, 2025
Aligarh Muslim University
B.Com (Hons) · Commerce
August 1, 2020 – June 30, 2023
Holy Cross School, CBSE
Senior Secondary · Commerce
June 1, 2017 – May 31, 2019
Bokaro Ispat Vidyalaya, CBSE
Secondary Education
June 1, 2016 – May 31, 2017
V5 Global
Blinkit Support Executive
December 1, 2025 – Present
India
Tech Mahindra
Flipkart Support Executive
September 1, 2025 – November 1, 2025
India
HDFC Bank
Sales and Marketing Intern
June 1, 2025 – August 1, 2025
India
PlanetSpark
Educator
June 1, 2025 – February 1, 2026
India
Confiable Business
Finance Intern
February 1, 2025 – May 1, 2025
India
Mandonna Research Consultants
Graphic Designer
November 1, 2023 – February 1, 2024
India
Bloombuzz.in
Graphic Designer
August 1, 2021 – November 1, 2021
India
Private Tutor
Educator
December 1, 2020 – April 1, 2025
India
Project Silicon Valley
Content Writer
September 1, 2020 – November 1, 2020
India
Linkage Between Financial Inclusion and Economic Growth in India
June 1, 2026 – Present
Conducted ARDL modeling with GDP, employment, inflation, and gross savings using IMF \ World Bank data for the year 1991-2022. Confirmed long-run cointegration; recommended employment generation and savings optimization policies. Role: Lead Researcher. Tools: ARDL, IMF & World Bank Data
Relationship Between Rural Population and GDP per Capita in India
June 1, 2026 – Present
Analyzed 63 years of World Bank data using R for descriptive statistics, correlation, regression, and hypothesis testing. Identified a strong positive correlation (R2 = 0.86) with policy implications for rural development. Role: Data Analyst. Tools: R, Statistical Analysis
Financial Analysis and Modeling Using Excel
Udemy
June 1, 2026 – Present
Diploma in Financial Accounting
Vivekanand Education Foundation
June 1, 2026 – Present
One-Day National Workshop on Official Statistics
Department of Statistics \ Operations Research, Aligarh Muslim University in collaboration with NSSTA (MOSPI)
January 1, 2025 – Present
Investor Awareness Program (IAP) on Capital Market \ Depository Services
CDSL Investor Protection Fund Trust
January 1, 2024 – Present
Skills Training & Assessment (SAP, Microsoft, Cambridge University Press, e-Filing)
The Institute of Cost Accountants of India in collaboration with Electro-Mech Enterprises Pvt. Ltd.
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in economic data analysis and policy implications, aligning with roles that require analytical rigor and impact assessment. Their diverse work experience, including customer support, sales, finance internships, and graphic design, indicates adaptability and a willingness to learn various roles. Participation in literary events and graphic design for university offices suggests engagement in community and creative problem-solving. However, the majority of professional experience is not directly in data analysis, which might require a cultural adjustment to a more technical, data-focused environment.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as analytical thinking, problem-solving, teamwork, adaptability, time management, and attention to detail, which are crucial for a data analyst role. Their experience in customer support roles (Blinkit, Flipkart) suggests an ability to handle queries, maintain records, and ensure satisfaction, which can translate to understanding user needs and data quality in an operational context. However, the direct operational experience in a data-centric role is limited.