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Data Analyst with less than a year in SQL, Python & Power BI
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Assessing your cultural and operational fit
B. Tech graduate in IT & Data Science (CGPA 8.4) with 6 months of hands-on experience as a Data & Analytics Intern, building SQL pipelines, Python automation, and interactive Power BI dashboards. Skilled in writing complex SQL queries (joins, subqueries, window functions, aggregations), data cleaning, and translating raw data into actionable business insights. Experienced in retail customer analytics, campaign performance reporting, and BigQuery SQL - with a strong foundation in end-to-end data analytics workflows.
Ajeenkya D.Y. Patil University
Bachelor of Technology · Information Technology & Data Science
August 1, 2020 – June 30, 2024
Balaji Junior College
Higher Secondary Certificate (HSC) – Class XII
June 1, 2018 – May 31, 2020
Anacle Systems Pvt. Ltd
Software Engineer Intern – Data & Analytics
March 1, 2025 – August 1, 2025
India
Customer Shopping Behavior Analysis
January 1, 2024 – June 1, 2025
Built an end-to-end data analytics pipeline on a retail customer shopping dataset (3,900+ records), covering data cleaning, exploratory analysis, SQL-based business querying, and interactive Power BI dashboard development. Performed data preparation and EDA in Python (Pandas, Matplotlib, Seaborn) – including deduplication, type standardisation, null handling, and feature engineering - ensuring data quality and readiness for downstream analysis. Loaded cleaned data into PostgreSQL and wrote complex SQL queries (joins, subqueries, aggregations, window functions) to extract insights on customer segments, purchase drivers, loyalty patterns, and seasonal trends. Designed and built an interactive Power BI dashboard with KPI cards, trend charts, demographic breakdowns, and product-category performance visuals, enabling data-driven decision-making for stakeholders. Produced a business report and presentation summarising key findings, strategic recommendations, and actionable insights around customer retention, high-value segments, and revenue optimisation. Maintained end-to-end project documentation and version control (Git/GitHub) following industry-standard analytics workflow practices.
Campaign & Hospital Performance Analytics Dashboard
January 1, 2024 – June 1, 2025
Collected and prepared raw datasets from multiple sources; designed an interactive Power BI dashboard with KPI visualisations, trend analysis, and customer response rate metrics – directly aligned with campaign analytics requirements. Wrote complex SQL queries (joins, subqueries, aggregations) for data extraction, transformation, and preparation, ensuring data quality, consistency, and governance across all reporting outputs. Generated actionable insights through variance and trend analysis; translated findings into practical optimisation recommendations, reducing manual reporting effort and enabling data-driven decision-making. Applied data governance best practices including data validation, reconciliation, and audit-ready structured reporting, ensuring transparency and stakeholder trust. Documented analytics processes and methodologies comprehensively, facilitating knowledge sharing and enabling continuous process improvement.
Data Science - Comprehensive Training Program
Visionary IT Global
October 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a strong alignment with data analysis roles, focusing on practical application of skills. The diversity of projects (customer behavior, campaign performance, real-time energy data) indicates adaptability and a broad interest in data applications. Their proactive pursuit of a Data Science certification further highlights a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and attention to detail through their project descriptions. Their experience in documenting processes and using version control (Git/GitHub) indicates good operational practices and a collaborative mindset. The ability to translate technical findings into business recommendations suggests good communication and stakeholder engagement potential.