Tejaswini Rao Akula

Detail-oriented Data Analyst with an M.S. in Data Science and 2+ years of experience delivering end-to-end reporting, data quality assurance, and interactive dashboards. Proficient in Power BI, Tableau, SQL, Python, and Advanced Excel, with hands-on experience applying analytical and reporting techniques to real-time operational and survey datasets. Track record of running recurring reports, identifying data errors, and preparing accurate client-facing deliverables.

Adept at translating complex analytical findings into clear business narratives for cross-functional stakeholders. Seeking to apply data-driven insights to advance the impact of a mission-focused analytics team.

Data Analyst | Kappium LLC (2025-07 – Present)

• Cleaned and validated internal support tasks data with Excel and SQL, establishing standardized datasets that improved downstream analysis and reporting.

• Performed exploratory data analysis (EDA) with Excel and Python, uncovering trends and outliers, applying descriptive statistics that informed management and operational decisions.

• Created automated reports reducing manual refresh time and enabling weekly KPI tracking for stakeholders.

• Documented analysis logic and visualized findings, presenting actionable insights in sprint meetings and team standups.

• Managed end-to-end analysis of community engagement and operational data, delivering client-ready reports (Looker, Salesforce, MySQL, Sheets) that identified and quantified a pipeline of 50+ leads – driving measurable business impact.

• Designed and executed A/B tests to evaluate campaign and content effectiveness, translating quantitative findings into actionable recommendations that improved campaign conversion rates and reduced content iteration cycles.

• Audited data quality across multiple datasets, flagging errors and missing information before reports reached stakeholders, ensuring clean, reliable deliverables.

• Coordinated multiple concurrent project timelines across 3+ teams, ensuring on-time delivery of analytical reports and serving as a primary stakeholder liaison for organizational leadership.

• Analyzed post-program survey data (Coding & Robotics programs; 85% satisfaction rate), documenting findings and iterating on content to improve program outcomes.

• Developed and maintained 20+ interactive dashboards (Power BI, Excel), updating existing visualizations and ensuring data accuracy for senior administrators – contributing to a 15% improvement in program outcomes.

• Conducted data quality validation across 15+ large institutional datasets using Python scripts, documenting inconsistencies and applying structured checks to ensure data integrity across all analytical deliverables.

• Automated monthly reporting cycles, reducing manual processing time and ensuring consistent, on-time delivery of KPIs to institutional leaders.

• Fulfilled 10+ ad-hoc data requests from senior administrators, rapidly extracting and integrating data across multiple sources to meet shifting analytical priorities.

• Built and updated dashboards (Tableau, Excel) to visualize sentiment polarity and topic prevalence; presented findings in weekly stakeholder reviews to guide research (crisis management) strategy.

• Synthesized 6,000+ unstructured social media responses applying NLP techniques, transforming qualitative feedback into intent categories and flagging inconsistencies for stakeholder sprints.

• Developed a data-informed course ranking system from 6,000+ survey records, identifying 12 underperforming courses and presenting insights to leadership – directly influencing curriculum revisions.

• M.S. in Data Science – New Jersey Institute of Technology (NJIT) (2022 – 2024)

• B.S. in Computer Science – Gandhi Institute of Technology and Management (GITAM) (2016 – 2020)