Shashank

Highly motivated and detail-oriented Computer Science graduate with a strong foundation in Data Analytics, Data Science, and Business Intelligence, possessing hands-on experience in transforming complex datasets into actionable business insights that support strategic decision-making and organizational growth. Skilled in end-to-end data analysis processes including data collection, cleaning, transformation, exploratory data analysis (EDA), statistical analysis, visualization, reporting, and predictive modeling. Proficient in industry-leading tools and technologies such as Python, SQL, MySQL, Power BI, Microsoft Excel, Tableau, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn, with the ability to build scalable analytical solutions and interactive dashboards that improve operational efficiency and business performance.

Demonstrated expertise in developing dynamic and insightful Power BI dashboards, optimizing SQL queries for faster performance, automating reporting workflows, and analyzing large datasets to uncover trends, patterns, and opportunities. Successfully completed multiple real-world analytics projects including Financial KPI Analysis Dashboard, Sales Data Analysis & Trend Forecasting, Netflix Content Analytics, and LinkedIn Engagement Analytics & Automation. In these projects, analyzed over 50,000+ financial records with high data accuracy, developed interactive KPI dashboards that reduced manual reporting time by 60%, identified revenue-generating trends and customer behavior insights, and automated business reporting processes that saved significant manual effort.

Strong understanding of business intelligence methodologies, KPI tracking, data storytelling, and visualization techniques that help stakeholders make informed business decisions. Possesses excellent analytical thinking, problem-solving abilities, and communication skills with a passion for leveraging data-driven technologies and AI-powered analytics to solve business challenges. Experienced in handling structured and unstructured datasets, applying data wrangling techniques, performing regression analysis, and creating meaningful visual reports for executive-level decision-making.

Adept at collaborating in team environments, learning new technologies quickly, and adapting to fast-paced work cultures.

fresher

BE- computer science(2025)