Dishank Karampudi

• Coordinated onboarding initiatives for incoming graduate students, managing communications, resource distribution, and scheduling support touchpoints to streamline their transition to the university. • Managed student-facing communication platforms to ensure timely dissemination of critical information and enhance community engagement among 200+ incoming students. • Acted as a liaison between academic departments and students, gathering feedback, resolving concerns, and escalating issues to relevant university offices to ensure smooth operational flow. • Led engagement campaigns promoting academic programs and student resources, contributing to increased enrollment conversion and program visibility. • Maintained accurate records of student queries and follow-ups, enabling consistent tracking of support metrics and identifying common challenges to improve future processes. • Collaborated cross-functionally with admissions, housing, and financial aid teams to address and resolve logistical and administrative concerns in a timely manner. • Demonstrated professional stakeholder management, ensuring clarity, responsiveness, and alignment with university brand values during all public-facing interactions.

• Conducted SNA and longitudinal analyses on 12,000+ student records spanning 5 years and 20 co-curricular activities—cleaning, transforming, and integrating data with Python (Pandas/NumPy), R, and SQL then modeled engagement networks in NetworkX and Gephi, boosting high-risk cluster detection by 35%. • Launched machine learning and clustering pipelines that achieved 90% classification accuracy (0.85 F1-score), uncovered the top 4 factors driving student involvement, and cut data-processing time by 60%, with insights delivered via interactive Power BI and Matplotlib dashboards. • Engineered and tuned complex SQL queries and scalable database schemas on datasets, improving query performance by 50% and enabling real-time, interactive Power BI and Matplotlib dashboards for data-driven decision-making.

• Implemented and deployed 7+ statistical and machine learning models (Python, R, Scikit-learn, TensorFlow, PyTorch) on 2 million+ patient-level records, boosting drug-sales forecasting accuracy by 20% and driving optimized decision-making across four pharmaceutical clients. • Architected big-data ETL pipelines with SQL, Apache Spark, and Hadoop to process 100 million+ rows, cutting data-processing time by 50% and delivering interactive Tableau and Power BI dashboards to over ten stakeholders. • Led the rollout of a centralized data repository and data-governance framework on client VMs, improving data-retrieval speed by 30% and achieving 100% privacy compliance in senior-management presentations. • Designed and optimized core Python algorithms for feature engineering, hyperparameter tuning, and data sampling—leveraging NumPy, pandas, and multiprocessing to reduce end-to-end model training time by 45% and enhance prediction stability in production.

• Automated 5+ financial data processes and built end-to-end ETL pipelines (Python, VBA, SQL, Apache Spark, Hadoop) to process 1M+ records on AWS/GCP, cutting manual reporting effort by 50% and slashing data-integration time by 60%. • Developed 8 interactive Power BI and Tableau dashboards using Pandas, NumPy, and Excel, delivering real-time financial insights to 3 clients and reducing decision-making latency by 30%. • Partnered with 3 client teams in agile sprints—gathering requirements, performing competitive analysis, and deploying Scikit-learn models to achieve 100% on-time delivery, bolster operational scalability by 40%, and uphold full data-governance compliance.Automated 5+ financial data processes and built end-to-end ETL pipelines (Python, VBA, SQL, Apache Spark, Hadoop) to process 1M+ records on AWS/GCP, cutting manual reporting effort by 50% and slashing data-integration time by 60%. • Developed 8 interactive Power BI and Tableau dashboards using Pandas, NumPy, and Excel, delivering real-time financial insights to 3 clients and reducing decision-making latency by 30%. • Partnered with 3 client teams in agile sprints—gathering requirements, performing competitive analysis, and deploying Scikit- learn models to achieve 100% on-time delivery, bolster operational scalability by 40%, and uphold full data-governance compliance.

•Conducted interactive financial literacy sessions for school students, simplifying complex financial concepts like saving, budgeting, and banking through engaging activities and real-life examples. •Designed age-appropriate educational content and visual aids to support financial awareness campaigns, contributing to the organization’s mission of early financial education.

•Managed procurement and distribution of digital devices and training resources, ensuring timely delivery and availability of materials for rural digital literacy programs. •Streamlined operational workflows and coordinated with local volunteers, enhancing the efficiency of on-ground training sessions and boosting outreach impact.

• Managed end-to-end data integration projects, coordinating cross-functional teams to deliver ETL pipelines consolidating real estate market data. • Analyzed market trends and financial KPIs, delivering actionable insights to support strategic planning and risk mitigation. • Developed and maintained BI dashboards and reports to track property trends and project performance for stakeholders. • Facilitated collaboration between architects, contractors, finance, and sales teams, ensuring alignment of data insights with business goals. • Streamlined business processes and supported project lifecycle management to improve operational efficiency and reporting accuracy.