ASHISH RAWAT
Greater Noida
Summary
Detail-oriented and analytical Data Analyst with experience in data visualization, statistical analysis, and predictive modeling. Skilled at transforming complex data into clear insights for strategic decision-making. Proficient in SQL, Python, Excel, Tableau, Power BI, and Machine Learning. Seeking to contribute analytical expertise and business acumen to a progressive organization.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Data Analyst Intern
EchtTech
03.2022 - 04.2024
- Collaborating on a government project (RAV with NIC) integrated into the National Scholarship Portal (NSP-SC).
- Developed dashboards and reports using Tableau and Power BI for stakeholder reporting.
- Conducted statistical analysis and automated reporting pipelines using Python and SQL.
- Identified project dependencies and streamlined team collaboration for on-time delivery.
- Standardized reporting templates that improved project documentation efficiency by 30%.
Education
Master of Business Administration (MBA) - Data Science and AI
Chandigarh University
Mohali07.2026
Advanced PGP - Data Science & Machine Learning
NIIT
Pune02.2023
Bachelor of Science (B.Sc.) - Information Technology
Amity University
Noida07.2021
Intermediate - Science
JP International School, CBSE
Noida07.2018
Skills
- Proficient in Python
- Pandas data analysis
- Data manipulation with SQL
- Tableau dashboard development
- Data analysis using MS Excel
- Analytical problem solving
- Clear verbal communication
- Effective team engagement
Certification
- Data-Driven Decision Making – Saylor Academy
- Brand Management – Saylor Academy
Extra Curriculars
- Volunteer, Child Care Foundation NGO
- Avid cricket player and active in community service
Projects
1. Amazon Product Review Sentiment Analysis
• Analyzed Amazon product review data from Kaggle using NLP and Logistic Regression.
• Mapped keywords to customer ratings for sentiment modeling with 66% accuracy.
• Tools: Python, NLTK, scikit-learn, Jupyter
2. Automobile Insurance Claim Prediction
• Built regression model to predict insurance claim amounts using historical customer data.
• Preprocessed and analyzed data; achieved an R² score of 0.48 using Linear Regression.
• Tools: Python, Pandas, Scikit-learn, Matplotlib
Timeline
Data Analyst Intern
EchtTech
03.2022 - 04.2024
Master of Business Administration (MBA) - Data Science and AI
Chandigarh University
Advanced PGP - Data Science & Machine Learning
NIIT
Bachelor of Science (B.Sc.) - Information Technology
Amity University
Intermediate - Science
JP International School, CBSE
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