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Data Analyst with 1+ years in SQL, Python, and Power BI for actionable business intelligence.
Detail-oriented and insight-driven Data Analyst with 1.5+ years of experience collecting, cleaning, and analyzing large datasets to deliver clear, actionable business intelligence. Proficient in SQL, Python, Power BI, and Excel, with hands-on experience building end-to-end analytics pipelines, interactive dashboards, and structured stakeholder reports across cloud platforms (AWS Redshift, GCP BigQuery, Azure SQL). Strong foundation in statistical analysis, exploratory data analysis, and machine learning, backed by an M.Sc. in Data Science & Analytics (GPA: 8.97/10) and IEEE-published research. Proven ability to translate complex data into practical recommendations, work collaboratively across functions, and manage multiple projects in fast-paced environments across consulting, tech, and cross-industry contexts.
Sharda University
M.Sc. · Data Science & Analytics
August 1, 2022 – June 30, 2024
Veer Narmad South Gujarat University
B.Sc. · Computer Science
August 1, 2018 – June 30, 2021
Softage Information Technology Ltd.
Data Analyst - Analytics, Research & Insights
August 1, 2024 – Present
Gurgaon, Haryana, India
Nectron Technology
Data Science Intern - Research & Analysis
January 1, 2024 – June 1, 2024
India
IEEE Published Research: NLP-Based Plagiarism Detection
June 20, 2026 – Present
Created and published peer-reviewed research that uses natural language processing and text-mining along with machine learning to find plagiarism in big collections of documents, showing advanced statistical analysis methods and building a complete analytical process from start to finish.
Power BI Business Intelligence Dashboard
June 20, 2026 – Present
Designed a clean SQL database structure and built a complete data processing system that feeds into a Power BI dashboard with multiple pages. The dashboard uses DAX for key performance indicators, trend analysis, and detailed reports, allowing business users to access and analyze data on their own.
A/B Test Statistical Analysis & Reporting
June 20, 2026 – Present
Applied hypothesis testing (t-tests, chi-square, p-values, 95% confidence intervals) to evaluate campaign and product performance metrics packaged conclusions into evidence-based recommendation reports for senior decision-makers.
Brand Sentiment Analysis - End-to-End NLP Pipeline
June 20, 2026 – Present
Built a complete NLP pipeline (tokenization, TF-IDF vectorization, LDA topic modelling) to extract and classify brand sentiment from unstructured customer text data visualized insights via Matplotlib/Seaborn dashboards with 80% classification accuracy.
IEEE Published Research Paper: NLP-Based Plagiarism Detection
IEEE
January 1, 2023 – Present
Smart India Hackathon Finalist
Smart India Hackathon
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects, particularly the IEEE publication and Smart India Hackathon finalist recognition, show initiative and a drive for innovation. The experience in diverse projects (A/B testing, NLP, BI dashboards) and the ability to work across different industries (implied by the professional summary) suggest adaptability. The role at Softage Information Technology Ltd. involves upskilling colleagues, which aligns with a collaborative culture. However, the professional experience is relatively short, which limits the depth of cultural fit assessment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and stakeholder communication skills. Experience in Agile sprint projects and cross-functional collaboration indicates a good operational fit. The ability to automate workflows and upskill colleagues suggests a proactive and team-oriented approach.