Data Science with 3+ years in AI & Data Science seeking a Data Analyst role.
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Detail-oriented Data Analyst with a strong academic background in Artificial Intelligence and Data Science. Proficient in SQL, Python (Pandas, NumPy), and Excel for data analysis and data preprocessing. Skilled in creating interactive dashboards using Power BI & Tableau and deriving actionable insights from complex datasets. Strong foundation in statistics and problem-solving with a passion for data-driven decision-making. Seeking a Data Analyst role to apply analytical skills in real-world business problems.
Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
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Student Performance Analysis & Visualization using Data Analytics
June 1, 2026 – Present
Analyzed student dataset using Python and Excel to extract meaningful insights. Performed data cleaning and preprocessing to ensure data quality and consistency. Conducted Exploratory Data Analysis (EDA) to identify performance trends and patterns. Developed interactive dashboards in Power BI for effective data visualization. Identified key factors affecting student performance through data-driven analysis. Generated actionable insights to support academic decision-making and reporting.
Intelligent Mental Health Chatbot with User Behavior Analysis & NLP
April 1, 2026 – Present
Developed an intelligent chatbot for emotional support, mood tracking, and mental wellness assistance. Performed data preprocessing and structured user input handling for improved response accuracy. Implemented basic NLP techniques for understanding user queries. Analyzed user interaction data to identify mood patterns and behavioral trends. Conducted EDA on user responses to improve chatbot performance.
IoT-Based Vehicle Maintenance Prediction with Real-Time Data Analysis & Fault Classification
March 1, 2026 – Present
Built an IoT-based system to monitor vehicle data and detect wiring faults in real-time. Collected, cleaned, and processed sensor data for predictive maintenance analysis. Performed Exploratory Data Analysis (EDA) to identify patterns in fault occurrence. Applied data analysis techniques to detect anomalies and improve fault prediction accuracy. Implemented SVM model for fault classification and prediction. Derived actionable insights to reduce vehicle downtime and improve maintenance efficiency.
Cultural Fit Analysis
The candidate's projects cover diverse areas like student performance, mental health chatbots, and IoT-based predictive maintenance, indicating a broad interest in applying data science. The target role is Data Science, which aligns well with the candidate's education and project focus. However, the candidate is still pursuing a bachelor's degree and has limited professional experience, which might impact cultural fit in a senior-level team requiring more independent contribution.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, critical thinking, and data-driven decision-making skills through project descriptions. The internship experience shows an ability to work on real-world data and automate processes, indicating a practical operational fit. However, the experience level is low, suggesting a need for significant guidance in a senior role.