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Data Analyst with 1+ years in AI & Data Science
Results-driven and detail-oriented B.Tech graduate in Artificial Intelligence & Data Science with hands-on experience in Python, SQL, Machine Learning, Data Analysis, Power BI, and Excel through internships and real-world projects. Skilled in data cleaning, predictive modeling, dashboard development, business intelligence, and deriving actionable insights from complex datasets. Passionate about leveraging AI, Machine Learning, Data Engineering, and Analytics to solve business problems and build data-driven solutions. Seeking an entry-level opportunity as an AI/ML Engineer, Data Scientist, Data Analyst, or Data Engineer in a growth-oriented organization where I can apply technical expertise, analytical thinking, and problem-solving skills to deliver impactful results.
Dr. D.Y.PATIL VIDYAPEETH, PUNE
Bachelor of Technology (B.Tech) · Artificial Intelligence & Data Science
N/A – June 30, 2024
Lockated
Data Analyst Intern
August 1, 2025 – Present
India
Lockated
Software Developer Intern
February 1, 2025 – May 31, 2025
India
Internship Studio
Artificial Intelligence Intern
June 1, 2024 – July 31, 2024
India
House Price Prediction
June 1, 2026 – Present
Built a regression model with 85% accuracy using Python (Scikit-Learn) and visualized insights in Power BI.
Air Quality Prediction
June 1, 2026 – Present
Predicted AQI levels using environmental data; performed trend analysis with Python & Matplotlib.
Movies Dashboard
June 1, 2026 – Present
Visualized movie data from 1980 to 2030, highlighting trends in releases, genres, production companies, and language distribution using Power BI
Sales Data Analytics Dashboard
June 1, 2026 – Present
Created a Power BI dashboard to analyze sales performance across region, category, customer, and payment method, showcasing actionable insights through interactive visuals.
Industrial Training on Microsoft Cloud Security
Ernst & Young
June 1, 2026 – Present
Getting Started with Enterprise Data Science
IBM
April 1, 2024 – Present
Analyze Data in a Relational Data Warehouse
Microsoft Learn
April 1, 2024 – Present
Statistical Inference using Python
Infosys Springboard
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects and internships demonstrate a proactive approach to learning and applying data science and AI concepts. The diversity of projects (house price prediction, air quality, movie trends, sales analytics) shows a broad interest in applying data analysis to different domains. The blend of AI/ML and data analysis skills aligns well with organizations seeking versatile data professionals. The certifications further indicate a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with cross-functional teams and problem-solving skills, indicating a good operational fit for data-driven environments. The automation of data cleaning processes suggests an efficiency-oriented mindset. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is limited.