Junior Data Analyst with less than a year in data management, visualization, and SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Master's Student in Data Management Aspiring Data Analyst specialized in building high-integrity pipelines and EDA. Proficient in KNIME, Python, Excel, SQL and Power BI. Combining a rigorous engineering foundation with technical expertise to transform raw datasets into actionable insights. Available for a Junior Internship.
Aivancity School Paris
Master of Science · Data Management
January 1, 2026 – Present
Gokaraju Rangaraju Institute of Engineering and Technology India
Bachelor's · Mechanical Engineering
August 1, 2021 – June 1, 2024
Global Chocolate Sales Analysis & Dashboard
June 24, 2026 – Present
Data Transformation: Engineered an end-to-end data pipeline in Excel to clean and process 500+ global sales transactions, ensuring 100% data accuracy for regional reporting. KPI Development: Built a dynamic dashboard to monitor key metrics including Total Revenue, Average Order Value, and Box Distribution across 6 international markets. Strategic Insights: Leveraged Pivot Tables and Advanced Formulas to identify top-performing product lines (e.g., 99% Dark & Pure) and high-growth regions like India and the UK. Visualization: Designed interactive charts to communicate sales trends and individual performance, providing actionable insights for supply chain and sales strategy.
Apex Global Sales Analytics Dashboard
June 24, 2026 – Present
Developed an interactive corporate sales dashboard tracking $12.6M in revenue, $1.5M in profit, and over 178K units sold across global regions. Utilized Power Query to extract, clean, and transform multi-dimensional datasets, ensuring data integrity and optimizing the data model for high-performance reporting. Engineered advanced DAX measures and time-intelligence functions to deliver deep-dive financial performance and profitability analysis spanning a 4-years. Built dynamic filtering mechanisms and interactive slicers by market region and product categories to empower executive data-driven decision.
Cultural Fit Analysis
The candidate's educational background in Mechanical Engineering followed by a Master's in Data Management shows adaptability and a strong drive to transition into a new field. The projects demonstrate practical application of data analysis skills, which aligns with a results-oriented culture. The listed soft skills also suggest a good fit for team environments.
Soft Skills & Operational Fit
The candidate lists 'Kaizen Learner', 'Cross-functional Collaboration', 'Effective Communication', 'Adaptability', and 'Self-Motivated' as strengths. These align well with the collaborative and dynamic nature of a data analyst role. The project descriptions suggest an ability to communicate insights effectively through dashboards.