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Data Analyst with 1+ years in SQL, Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience in data analysis, data interpretation, and interactive dashboard development using SQL, Python, and Power BI. Skilled in data cleaning, transformation, and creating DAX measures to streamline workflows and improve reporting efficiency. Capable of deriving actionable insights from data to support informed, data-driven business decisions.
K.J.S.College, Kopargaon
Master Of Computer Science · Computer Science
August 1, 2022 – June 30, 2024
Al Software Engineer, Tirukamal innovations pvt ltd.
Al Software Engineer
November 1, 2025 – Present
India
Adlertech Innovations.
Data Analyst
April 1, 2025 – October 1, 2025
India
Superstore Sales Data Analysis
June 24, 2026 – Present
Performed Exploratory Data Analysis (EDA) on retail sales data to identify trends in revenue, profit margins, and customer segments. Used SQL queries to extract and aggregate data for region-wise and category-wise performance analysis. Identified high-performing and loss-making product categories to support strategic business decisions.
Sentiment Analysis using NLP & Machine Learning
June 24, 2026 – Present
Collected and preprocessed textual datasets using tokenization, stop-word removal, and feature extraction techniques. Performed sentiment classification using machine learning algorithms. Evaluated model performance using accuracy and confusion matrix metrics. Analyzed sentiment trends to derive insights from customer feedback data.
Cultural Fit Analysis
The candidate's projects and work experience show a focus on practical data analysis and problem-solving, which aligns with a results-oriented culture. The diversity of tools (SQL, Python, Power BI, NLP/ML concepts) suggests a willingness to learn and apply different technologies. However, the short tenure in the Data Analyst role (6 months) and the current role as an AI Software Engineer might indicate a lack of long-term commitment to a pure Data Analyst track or a broad exploration of different technical areas. The projects are personal, which is good for demonstrating initiative, but lack team collaboration context.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work with diverse data sources and tools, suggesting adaptability. The project descriptions indicate a problem-solving approach, focusing on identifying trends and supporting business decisions. The current role as an AI Software Engineer, while not directly a Data Analyst role, involves data workflow automation, which aligns with operational efficiency.