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Data Analyst with 1+ years in SQL, Python & Power BI
Results-driven Business and Data Analyst with a PGDM in Business Analytics and a BSc in Statistics & Computer Science. Experienced in extracting, transforming, and analyzing large structured and unstructured datasets to generate actionable insights that drive risk, operations, and customer experience decisions. Proficient in SQL, Python, Power BI, and Tableau with a track record of delivering data-driven solutions through cross-functional collaboration. Adept at statistical analysis, exploratory data analysis, and communicating complex findings clearly to both technical and non-technical stakeholders.
Nitte School of Management (NMIT)
PGDM · Business Analytics
August 1, 2023 – Present
Aditya Degree College, Visakhapatnam (Andhra University)
BSc · Statistics & Computer Science
August 1, 2019 – June 30, 2022
Hippocloud Technologies
Data Analyst Intern
June 1, 2025 – Present
India
Unaffordable Medical Treatment - Policy & Cost Analysis
June 1, 2026 – Present
Analyzed structured government policy data and unstructured medical cost datasets to identify affordability gaps across socioeconomic groups demonstrating capability with both structured and unstructured data sources. Applied statistical analysis and EDA to identify root causes of healthcare cost barriers, translating findings into policy recommendations mirroring regulatory-environment analysis common in financial services. Collaborated across research functions to produce a comprehensive report recommending cost-effective solutions backed by statistical evidence. Developed dashboards and data visualizations to present findings, enabling non-technical stakeholders to act on data-driven insights.
Impact of AI on Stock Market Investment Decisions
June 1, 2026 – Present
Extracted and analyzed large financial datasets to quantitatively evaluate whether AI-powered investment strategies outperform conventional methods supporting risk and investment decision-making. Performed data extraction, trend analysis, and statistical comparison of AI vs. traditional portfolio performance using Python and statistical modelling techniques. Generated actionable, data-driven insights on financial behavior shifts driven by AI adoption in capital markets; findings directly relevant to financial services environments. Delivered structured reports and visualizations to communicate research conclusions clearly to stakeholders, translating complex datasets into business-ready insights.
Data Analysis
Swayam (NPTEL)
June 1, 2026 – Present
Data Analytics
MS Square Technologies
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Big Data Analytics
Swayam (NPTEL)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse domains (healthcare policy, financial markets), suggesting adaptability. The pursuit of multiple certifications and a PGDM in Business Analytics indicates a proactive learning attitude. The internship experience, though brief, shows an engagement in real-world data analysis tasks. These aspects suggest a good cultural fit for a dynamic, data-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration across research functions and communication of complex findings to stakeholders, indicating good teamwork and communication skills. The internship description also mentions collaborating with the team. These suggest a candidate who can integrate well into a team and contribute to operational goals.