Data Analyst with less than a year in Data Analysis & Big Data Technologies
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Data Analyst with a PG Diploma in Big Data Analytics from CDAC, experienced in Python, SQL, and Power BI. Skilled in market data analysis, EDA, and statistical techniques to uncover patterns and drive insights. Proficient in ETL pipelines, data consistency, and data-driven decision-making through dashboards and reports, with strong stakeholder communication skills.
G. H. Raisoni Institute of Engineering and Technology, Nagpur
Bachelor of Technology · Data Science
N/A – June 30, 2024
CDAC SM VITA, Mumbai
Post Graduate Diploma · Big Data Analytics
N/A – June 30, 2025
Primine Software
Data Analyst Intern
December 1, 2023 – June 1, 2024
India
Yelp Review Data Analysis Using Big Data Technologies
July 1, 2025 – August 1, 2025
Built an end-to-end ETL data pipeline to process 8 GB of Yelp open data (7 million records) using AWS S3, Glue, and EMR. Transformed large-scale semi-structured JSON data into structured CSV datasets using PySpark, enabling efficient querying and analysis. Integrated business, user, and review datasets into a master analytical table containing 7M+ rows for cross-entity analysis. Performed exploratory data analysis (EDA) to analyze ratings distribution, review trends, and user behavior at scale. Generated data-driven insights and visual summaries to support business performance analysis and decision-making.
View ProjectYouTube Comment Analyzer
July 1, 2023 – October 1, 2023
Developed a text analytics solution to analyze unstructured YouTube comment data using regular expressions (Regex) and NLP techniques. Implemented text preprocessing including tokenization, stop-word removal, and normalization. Performed sentiment analysis, spam detection, and topic identification to assess audience engagement. Analyzed sentiment trends to derive insights into user perception and engagement behavior.
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Cultural Fit Analysis
The candidate's project diversity, including big data processing and text analytics, along with an internship in data analysis, shows a broad interest and foundational skill set relevant to a Data Analyst role. The combination of academic background (Data Science, Big Data Analytics) and practical application aligns well with a data-driven culture. The certifications further indicate a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through their experience in collaborative team environments during their internship and project work. Their project descriptions indicate an ability to work on end-to-end analytics workflows and communicate insights effectively. However, specific soft skill assessments are not available.