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Data Analyst with less than a year in Python & SQL
Data Analyst with a B.Tech in Computer Science (Data Science) and a strong foundation in predictive modeling, statistical analysis, and data-driven decision-making. Skilled in developing analytical models, automating workflows, and leveraging Python, SQL, Excel and Power BI to derive actionable business insights. Demonstrates the ability to identify trends, process inefficiencies, and control gaps through structured analysis and testing. Adept at cross-functional collaboration to optimize marketing/sales strategies and drive operational efficiency through machine learning solutions. Committed to delivering measurable impact in fast-paced, high-stakes environments.
Gyan Ganga Institute of Technology and Sciences – Jabalpur M.P
Bachelor of Technology · Computer Science and Engineering (Data Science)
N/A – June 30, 2026
Maharishi Vidya Mandir - Jabalpur M.P
Secondary
N/A – May 31, 2020
Maharishi Vidya Mandir – Jabalpur M.P
Higher Secondary
N/A – May 31, 2022
Retail Business Performance & Insights Analysis
June 18, 2026 – Present
Used SQL to analyze sales, profit, and order data to answer key business performance questions and identify opportunities for revenue growth. Compared regional and category-level performance, identifying 3 high-potential segments that contributed to a 12% improvement in overall sales efficiency across distribution channels. Analyzed customer purchasing trends and segments, providing insights that helped refine targeted marketing efforts and boosted customer engagement metrics by 15%. Summarized findings in Excel using pivot tables and basic charts to present insights clearly. Automated recurring reporting workflows using Python and SQL, reducing manual data processing time by 20% and enabling more frequent performance monitoring and analytics.
Transaction Anomaly & Risk Pattern Analysis
June 18, 2026 – Present
Engineered a rule-based analytical model using Python to identify anomalous and high-risk transaction patterns within a dataset of 50,000+ records, supporting risk mitigation and security efforts. Performed advanced data cleaning, feature engineering, and statistical analysis using Pandas, applying regression techniques to detect outliers and rapid transactional shifts, significantly improving model precision. Developed and applied risk-scoring frameworks to prioritize suspicious transactions, enabling to optimize, review the workflows and improve operational efficiency. Documented key findings and delivered actionable risk insights, resulting in practical control improvements and enhanced monitoring strategies to mitigate financial risk.
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical business problems (risk analysis, retail performance), which aligns well with a results-oriented culture. The use of diverse tools and techniques (Python, SQL, Excel, Power BI, Scikit-learn) shows adaptability and a willingness to learn. However, as a student with no professional experience, the breadth of exposure to different organizational cultures is limited. The projects are personal, which is a good start, but real-world team collaboration experience is missing.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify trends, process inefficiencies, and control gaps, suggesting strong analytical and problem-solving skills. The mention of cross-functional collaboration implies good teamwork potential. However, without specific behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.