Data Analyst with 2+ years in data analysis, dashboard development, and business intelligence.
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Data Analyst with 2 years of experience in data analysis, dashboard development, and business intelligence. Proficient in Power BI, SQL, Python, Excel, and Tableau, with expertise in data modeling, DAX, KPI reporting, and predictive analytics. Demonstrated success in improving data accuracy, reducing reporting time, and delivering actionable insights to drive data-driven decision-making.
RTM Nagpur University
Bachelor of Science
August 1, 2018 – June 30, 2021
HCL Technologies
Analysts
August 1, 2025 – February 1, 2026
Nagpur, Maharashtra, India
Weagile Software Solutions
Data Analysts
October 1, 2023 – March 1, 2025
Pune, Maharashtra, India
Kickstarter Data Analysis
June 1, 2026 – Present
Analyzed crowdfunding dataset (50K+ records) and built dashboards using Power BI, SQL, Tableau. Identified key success drivers, improving campaign performance insights.
View ProjectNLP - Sentimental Analysis on Amazon Product Reviews
June 1, 2026 – Present
Built NLP pipeline and ML models (KNN, Random Forest, Logistic Regression) on product reviews dataset. Achieved highest accuracy with KNN model (85%+), improving sentiment classification.
Executive Post Graduate Certificate in Data Science
IIIT Bangalore
June 1, 2026 – Present
Machine Learning with Python and Data Visualization
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning new technologies (NLP, predictive analytics). The experience across two companies, HCL Technologies and Weagile Software Solutions, shows adaptability. The certifications in Data Science and Machine Learning indicate a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The diversity of tools and techniques used (SQL, Python, Power BI, Tableau, various ML models) suggests a broad technical interest.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving (resolving incidents, RCA), efficiency improvement (automating dashboards, reducing reporting time), and collaboration with cross-functional teams. These indicate a good operational fit for roles requiring proactive data management and stakeholder engagement. The project descriptions are clear and concise, suggesting good communication skills in presenting technical work.