Data Analyst with hands-on internship and project experience turning raw datasets into clear, actionable business and research insights.
IIT (BHU)
May 2025 – Jul 2025 · Varanasi
Analyzed orthopedic simulation datasets across 10+ implant configurations using structured statistical evaluation; validated results with faculty mentors; presented technical findings as actionable insight reports for research stakeholders.
NIT Raipur
May 2024 – Jun 2024 · Raipur
Cleaned and analyzed biomedical signal datasets, resolving data-quality issues and improving signal accuracy by 20%; benchmarked signal-filtering models; synthesized literature review findings to support AI-based diagnostic research.
MedX – Biomedical Association, NIT Raipur
Oct 2023 – 2026 · Raipur
Coordinated cross-functional teams of 15+ members to plan and deliver technical events and academic initiatives.
Finance and Consulting Club, NIT Raipur
Dec 2022 – Jan 2024 · Raipur
Participated in structured case-solving sessions covering market entry, profitability, and growth-strategy frameworks.
Raj
1 mo
Indian Institute of Technology (Banaras Hindu University), Varanasi
3 mos
Modeled patient-specific 3D jaw anatomy from CT scans using 3D Slicer and Fusion 360. Designed denture configurations with varying tooth spacing for FEA simulations. Analyzed stress distribution to enhance implant placement strategies for full-mouth rehabilitation.
National Institute of Technology Raipur
2 mos
Improved diagnostic signal clarity by 20 percent through optimized filtering techniques. Applied digital signal processing techniques to filtered EMG signals, evaluating improvements using various feature extraction techniques. Identified optimal filter types for reducing noise and isolating muscle activity, significantly enhancing signal clarity for medical diagnostics and analytics.
B.Tech, Biomedical Engineering
2026
CGPA 8.0
Senior Secondary
2022
71.0%
Secondary
2020
95.16%
Bachelor of Technology, Biomedical/Medical Engineering
2022
High School Diploma, Mathematics
Mar 2018 - Jun 2022
Built an ML pipeline on 300+ patient records, benchmarked four classification models achieving 87.72% accuracy and 0.936 ROC-AUC, and created a Tableau dashboard for patient demographics, disease trends, and model performance.
Performed exploratory data analysis on 100k+ transactions using PostgreSQL ETL workflows, identified revenue-driver insights, estimated total addressable market for the premium segment through clustering, and built Power BI KPI dashboards.
Cleaned and queried approximately 10,000 transaction records using Python and MySQL, evaluated profitability across categories and geographies, identified the top 10 most profitable products, and built a Tableau dashboard.
Developed a machine learning–based heart disease prediction system using the UCI Cleveland Heart Disease Dataset. Performed data preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, ROC-AUC analysis, feature importance assessment, and built an interactive Tableau dashboard to visualize patient risk factors and model insights.
Developed an end-to-end sales analytics project using the Sample Superstore dataset to uncover business insights through Python, MySQL, and Tableau. Performed data cleaning, exploratory data analysis (EDA), and SQL-based aggregation to evaluate sales, profit, profit margins, product performance, regional trends, and monthly sales patterns. Designed an interactive Tableau dashboard to visualize KPIs and support data-driven business decision-making.