Soumyajit Chand

I’m a final-year B.Sc. Computer Science student and certified Google Data Analyst, focused on turning raw data into actionable, data-backed recommendations that drive business strategy and decision-making. I’m eager to use analytics to spot what matters, explain it clearly, and guide smarter next steps.

I’ve built hands-on expertise leveraging Python (Pandas, Numpy, Matplotlib, Seaborn), SQL (MySQL), and Power BI for Exploratory Data Analysis (EDA) and statistical modeling. In every project, I prioritize clean data, strong visualization, and insights that are directly usable by stakeholders.

In TecoChurnAnalysis, I executed EDA on 7,000+ customer records to uncover drivers of customer attrition. I identified a critical disparity—a 42% churn rate for short-term 10+2 (Science) contracts versus a 7% rate for long-term contracts—and recommended a strategic shift toward long-term incentive programs to improve Customer Lifetime Value (CLV) and reduce revenue leakage.

In SuperSalesDashboard, I designed and built a Power BI dashboard to dynamically monitor 5 key performance indicators (KPIs), visualize feature relationships, and generate a 15-day sales forecast with 90%+ accuracy—helping optimize inventory levels and prevent overstock and labor waste. In StudentMarkAnalysis, I processed 30,000+ student records to derive performance drivers, then proposed a targeted Academic & Wellness Block intervention to close the Math performance gap for high-risk students.

Through my Google Data Analytics certification, I mastered the end-to-end process (Ask, Prepare, Process, Analyze, Share, Act) across real-world case studies, and I’ve developed strong data visualization and storytelling skills to communicate effectively with both technical and non-technical stakeholders.