Data Analyst with less than a year in Python, SQL, and Machine Learning, skilled in data processing,
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Assessing your cultural and operational fit
Motivated Data Analyst with strong foundations in Python, SQL, Data Analysis, and Machine Learning. Skilled in data cleaning, data processing, data visualization, and dashboard development using tools like Power BI and Excel to generate actionable insights. Passionate about leveraging data-driven decision making and analytical techniques to solve real-world problems while continuously enhancing technical and analytical skills.
Learn Logic AI
Diploma · AI Data Engineer
March 1, 2026 – Present
GHSS Kavanur
Higher Secondary Education · Commerce Stream
June 1, 2023 – March 1, 2025
Python-Based Inventory Management System (SQL Streamlit)
June 1, 2026 – Present
Developed a real-time inventory management web application using Python, Streamlit, and SQL. Implemented CRUD operations using Python with SQL database connectivity and SQL Connector.
View ProjectSolar and Wind Energy Production Analysis | Microsoft Excel
June 1, 2026 – Present
Analyzed solar and wind energy production data using Microsoft Excel, performing data cleaning, pivot table analysis, and trend analysis to identify renewable energy generation patterns. Built interactive dashboards and visualizations using charts and KPI metrics to present insights and support data-driven decision making.
View ProjectInvestment Behavior Analysis Dashboard | Power BI
June 1, 2026 – Present
Analyzed 12K investor records in Power BI to identify trends in investment avenues such as Equity, Mutual Funds, Fixed Deposits, and Government Bonds. Built an interactive dashboard with KPI metrics and visualizations to analyze investor demographics, savings objectives, risk preferences, and investment duration patterns.
View ProjectClimate Change Impact on Crop Yields
June 1, 2026 – Present
Analyzed agriculture and climate datasets to study the effect of weather and soil factors on crop yield. Built a simple prediction interface using Gradio for testing yield predictions. Tools: Python, Pandas, NumPy, Scikit-learn, Jupyter Notebook, Gradio.
AI-Based Smart Hiring Prediction System
June 1, 2026 – Present
Developed a machine learning classification model to predict candidate hiring decisions. Implemented feature engineering, bias analysis, and Flask web deployment for real-time predictions.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying diverse data analysis and machine learning techniques across different domains (inventory, energy, finance, agriculture, HR). This breadth of interest and self-driven project work indicates a good cultural fit for roles that value continuous learning and problem-solving initiative. The personal nature of all projects suggests strong intrinsic motivation.
Soft Skills & Operational Fit
The candidate lists Decision Making, Communication Skills, Team Collaboration, and Time Management as soft skills. While these are crucial for a Data Analyst role, there is no assessment data or detailed project descriptions to validate their application in a professional setting. The candidate's project diversity suggests an ability to work on varied problems, which aligns with operational flexibility.