Data Science with less than a year in Data Analysis & Business Intelligence
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Assessing your cultural and operational fit
Data Analyst with expertise in SQL, Python, and Power BI, experienced in analyzing large datasets, building KPI-driven reporting systems, and delivering actionable insights. Skilled in data validation, root cause analysis, and automation to support data-driven decision-making in fast-paced environments.
Aditya College of Engineering
B.Tech · Computer Science and Engineering (Artificial Intelligence)
August 1, 2022 – June 30, 2026
SKILL DZIRE
ARTIFICIAL INTELLIGENCE INTERN
May 1, 2025 – July 1, 2025
India
Sales Performance Dashboard
August 1, 2025 – June 1, 2026
Improved decision-making efficiency by 20% by enabling real-time visibility into business performance through interactive dashboards tracking 10+ KPIs across regions and product categories. Reduced data processing time and improved reporting reliability by building an end-to-end data pipeline using Python for data ingestion and PostgreSQL for structured storage. Identified key revenue drivers and seasonal trends by analyzing historical sales data using SQL queries and KPI based trend analysis. Enabled strategic business actions by presenting insights on product performance, regional demand, and sales patterns through data storytelling and visualization in Power BI.
Job Market Data Insights
August 1, 2025 – June 1, 2026
Collect and analyzed job posting data from LinkedIn using web scraping techniques to identify in-demand skills, top hiring locations, and trending job roles. Cleaned and structured the data using Python (Pandas, BeautifulSoup), performed exploratory data analysis and visualized key insights using Power BI and Matplotlib.
View ProjectWeekly Demand Forecasting
August 1, 2025 – June 1, 2026
Reduced forecast error (MAE) by 15–25% by implementing rolling average forecasting models using SQL on transactional datasets with sparse demand patterns. Improved inventory planning decisions by generating consistent weekly demand signals through time-series aggregation and data normalization techniques. Ensured accurate and reliable forecasting datasets by handling missing values and zero-demand weeks through structured data preprocessing and validation.
SQL (Intermediate)
HackerRank
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data science skills, including personal projects that align well with typical data science roles. The internship in AI further supports an interest in the field. The breadth of tools and techniques used (SQL, Python, Power BI, web scraping, forecasting) indicates adaptability and a willingness to explore different aspects of data science. However, the candidate is still pursuing a bachelor's degree, which suggests a junior-level fit rather than a senior-level role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable business insights and improve decision-making, suggesting good problem-solving and analytical thinking. The focus on reducing forecast error and improving efficiency points to a results-oriented approach. However, without specific psychometric or English test results, a comprehensive assessment of communication, logical reasoning, work attitude, stress handling, and team collaboration is not possible.