Data Science with less than a year in Data Analysis & AI
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Highly motivated and results-driven individual with 0.8 years of internship experience in Artificial Intelligence and a strong foundation in data analysis. Proficient in Python, SQL, Power BI, and PostgreSQL, with hands-on experience in developing end-to-end data pipelines, performing advanced trend analysis, and creating interactive dashboards. Proven ability to extract insights from complex datasets to drive strategic decision-making and optimize performance.
Teerthanker Mahaveer university
Bachelor of Technology
August 1, 2022 – June 30, 2026
Divine light school
Intermediate
June 1, 2021 – May 31, 2022
Customer Shopping Behavior Analysis
June 24, 2026 – Present
Developed a complete data pipeline, from cleaning raw data in Python to performing advanced trend analysis in PostgreSQL and visualizing KPIs in Power BI. Used Pandas to handle missing values via categorical median imputation and engineered new features like "Age Groups" to refine demographic targeting. Authored complex queries using CTEs and Window Functions to segment 3,900+ customers by loyalty and identify high-performing product categories. Identified that Express Shipping customers have a higher average spend, recommending a shift in logistics strategy to drive revenue. Designed an interactive dashboard to track customer retention and subscription rates for stakeholder decision-making.
Banking domain data analysis
June 24, 2026 – Present
Built a complete data workflow by migrating raw banking data into MySQL, performing statistical analysis in Python, and delivering final insights through an interactive Power BI dashboard. Developed "Income Band" classifications and analysed lending patterns to help stakeholders identify high-risk profiles and minimize potential financial losses. Uncovered key growth opportunities—such as a high cross-selling potential for the 70% of clients currently using only one credit card—across a portfolio managing $4.3B in loans.
Artificial Intelligence for Intermediate-3c
IBM MOOC
December 1, 2025 – Present
Data Analyst Job Simulation
Deloitte through Forage
July 1, 2025 – Present
Git Training certificate
IIT Bombay
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science concepts across different domains (customer behavior, banking). The certifications in AI and Git, along with an AI internship, show a commitment to continuous learning and staying current with industry trends. The projects are well-aligned with a Data Science target role, indicating a strong interest and foundational understanding. The breadth of tools used (Python, SQL, Power BI, PostgreSQL, MySQL) suggests adaptability.
Soft Skills & Operational Fit
The candidate highlights soft skills such as Team Leading, Problem-Solving, Adaptability, and Collaboration. Project descriptions indicate an ability to work through data challenges and deliver stakeholder-oriented insights, suggesting a good operational fit for roles requiring analytical problem-solving and communication of findings.