Pushpendra Menaria — Aspiring Data Scientist
Data-driven problem solver skilled in Python, SQL, Power BI, and Machine Learning. Experienced in cleaning, analyzing, and visualizing complex datasets to uncover meaningful patterns and trends. Passionate about forecasting, anomaly detection, and creating impactful dashboards that help businesses make faster and smarter decisions.
Key Skills:
Toolset: Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly), Sciket-Learn(Basics), SQL/MySQL, Power BI, DAX, Data Visualization, Data Cleaning, Data Structures, OOP (Java), Linux, Git.
Selected Projects
Experience
Frontend Web Development — Internship
IBM SkillsBuild Summer Internship Program · Virtual · Jun 2024 – Aug 2024
- Built responsive UI and component-driven pages; improved front-end performance and accessibility.
- Collaborated with virtual teams and practiced version control and deployment workflows.
Data Analytics — Internship
IBM SkillsBuild Internship Program · Jun 2023 – Jul 2023
- Performed exploratory data analysis (EDA) and visualizations to surface business insights.
- Prepared presentations translating metrics into actions for non-technical stakeholders.
Education
B.Tech — Computer Science & Engineering
Techno India NJR Institute of Technology · 2022 – 2026
CGPA: 9.30 / 10
Senior Secondary (XII) — RBSE
Shishu Bharti Sr. Sec. School · 2022
80.40%
Secondary (X) — RBSE
Shishu Bharti Sr. Sec. School · 2020
78.17%
Certifications
Red Hat Certified System Administrator (RHCSA)
Red Hat · Mar 2025 – Apr 2025
Introduction to Machine Learning
NPTEL · Jan 2025 – Apr 2025
Database Management System
NPTEL · Jan 2025 – Mar 2025
Data Structures & Algorithms Using Java
NPTEL · Jul 2024 – Oct 2024
Programming in Java
NPTEL · Jul 2024 – Oct 2024
Contact & Availability
Available for Data Science Internships & Entry Roles
Ready to join teams focused on forecasting, risk & fraud detection, and BI at fintechs.
- Email: menariapushpendra164@gmail.com
- Phone: +91 9462413318
- Location: Udaipur, India
About / Summary
I combine a strong academic base (CGPA 9.30) with hands-on internships in analytics and web development. I build end-to-end data products: ingest → clean → model → deploy → visualize. I enjoy converting business problems into data pipelines and interpretable models.