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Data Analyst with less than a year in Data Processing & 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
Highly motivated and detail-oriented Programmer Analyst Trainee Intern with 8 months of experience in data processing, analysis, and visualization. Proficient in SQL, Python, PySpark, and Power BI, with a strong foundation in data cleaning, transformation, and feature engineering. Proven ability to collaborate on scalable data solutions, conduct exploratory data analysis, and build interactive dashboards to support business decision-making and uncover key insights across retail and sales domains.
ABES Engineering College
B.Tech · Computer Science & Engineering (Data Science)
August 1, 2022 – June 30, 2026
ProcDna
Programmer Analyst Trainee Intern
January 1, 2026 – Present
Gurgaon, Haryana, India
IIITDM Kanchepuram
Analyst
June 1, 2025 – July 1, 2025
Chennai, Tamil Nadu, India
Databricks Retail Analytics Lakehouse Project
June 24, 2026 – Present
Designed and implemented an end-to-end Medallion Architecture pipeline (Bronze, Silver, Gold) using PySpark and Delta Lake to process 54K+ retail transaction records. Performed data cleaning, transformation, schema validation, deduplication, and feature engineering using PySpark and SQL to improve data quality and analytics performance. Built a 2-page interactive Power BI dashboard showcasing executive KPIs, customer segmentation, profitability analysis, regional sales trends, and logistics performance insights.
Sales Analytics Project
June 24, 2026 – Present
Conducted EDA on 10K+ sales records to identify customer behavior trends and improve reporting insights, to uncover revenue trends, and key business KPIs. Cleaned, transformed, and analyzed structured datasets using Python, Pandas, and MySQL to support business reporting and decision-making. Created visual reports and stakeholder-focused summaries to communicate actionable insights and improve marketing ROI and sales planning.
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical data analytics applications in retail and sales, aligning well with typical business needs. The internship experience, though limited in duration, shows exposure to collaborative environments. The academic background in Computer Science & Engineering (Data Science) provides a solid theoretical foundation. However, the overall experience level is very junior, which might require significant mentorship and integration into a senior team culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex data problems and communicate insights, suggesting a foundational level of problem-solving and communication. Collaboration is mentioned in the current internship, indicating an understanding of teamwork. However, without specific psychometric or English test results, a deeper assessment of soft skills and operational fit is limited.