Darapu Preethi

Darapu Preethi

Data Analyst & Data Scientist
India
Telugu, English, Hindi

About Me

Data Analyst with 3 years' experience delivering data validation, automation, and BI solutions across national healthcare programs (NHSRC). Skilled in Python (Pandas, NumPy), SQL, and Power BI, with hands-on exposure to …

Experience

Data Analyst (Consultant)

NHSRC — National Health Systems Resource Centre · National Health Systems Resource Centre
Jul 2023 - Present · 3 years 3 months

<p>Performed large-scale data analysis, data validation, data cleaning, and standardization using Python (Pandas, NumPy) and Microsoft Excel across multiple national digital health programs, ensuring data accuracy, integrity, and high-quality reporting for evidence-based decision-making.<br>
Contributed to key healthcare initiatives including Viksit Bharat Sankalp Yatra (VBSY), NCD Portal, AAM Portal, SNSP, and HSR Project by executing LGD mapping, NIN ID mapping, data verification, cross-source reconciliation, and quality assurance, improving consistency and reliability of healthcare datasets.<br>
Developed Python automation scripts for data processing, test data preparation, and validation, supporting Smoke Testing, Sanity Testing, Regression Testing, and User Acceptance Testing (UAT) to enhance testing efficiency, reduce manual effort, and ensure application reliability.<br>
Participated in the development of the Aggregator Application, contributing to frontend and backend development, REST API integration, database operations, and project documentation, while collaborating with cross-functional teams to deliver scalable and user-centric digital health solutions.<br>
Prepared analytical reports, monitored project performance, coordinated documentation for national healthcare initiatives including the 100 Days Nikshay Program, resolved data quality issues, and collaborated with stakeholders to support data-driven planning, reporting, and digital health program implementation.</p>

Python Developer Intern

Digital Ex-C
May 2022 - Jul 2022 · 2 months

<p>Built Python report automation scripts across 4 high-frequency data workflows, reclaiming 6+ hours/week through agile analytics practices and eliminating recurring manual processing errors entirely.<br>
Engineered 12 data validation and schema integrity checks, cutting downstream errors by 30% and significantly strengthening stakeholder reporting confidence in output data quality.<br>
Delivered structured analytical insight reports to 5+ internal stakeholders, compressing turnaround from 3 days to same-day and directly accelerating quarterly planning decisions.</p>

Skills

Python Pandas NumPy Scikit-learn Matplotlib Seaborn SQL Excel Predictive Modeling Statistical Analysis Hypothesis Testing A/B Testing Feature Selection Cross-validation K-Means ARIMA Random Forest Decision Tree Logistic Regression NLP TF-IDF EDA Data Wrangling Data Cleaning Power BI DAX Data Modeling Business Intelligence Data Storytelling Descriptive Analytics Diagnostic Analytics Interactive Dashboards ETL Pipelines Report Automation Data Validation Governance KPI Tracking Agile Analytics Cross-functional Collaboration CNN Time-Series REST API
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