Data Analyst with less than a year in Python, SQL & Power BI
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Entry-level Data Analyst with hands-on experience in Python, SQL, Power BI, and data analytics projects. Skilled in data cleaning, exploratory data analysis, ETL processes, and dashboard development. Experienced in building machine learning solutions and interactive reports to support data-driven decision-making. Seeking a Data Analyst role to apply analytical and problem-solving skills.
Rajkiya Engineering College, Sonbhadra
Bachelor of Technology · Electronics Engineering
August 1, 2022 – June 30, 2026
Veridia.io
Data Analyst Intern
September 1, 2025 – October 1, 2025
India
Customer Behavior Analysis and Prediction Model
April 1, 2026 – April 1, 2026
Built an end-to-end customer churn prediction system using machine learning and deployed an interactive Streamlit web application for real-time predictions. Performed RFM segmentation and feature engineering including Engagement Score, Purchase Gap, and Activity Trend to analyze customer behavior. Trained and compared Logistic Regression, Random Forest, and XGBoost models; selected XGBoost as the best-performing model based on F1-score and ROC-AUC. Enabled real-time churn prediction with an interactive user interface for customer segmentation and business insights.
View ProjectRetail Profit Optimization Dashboard
March 1, 2026 – March 1, 2026
Built a 5-page interactive Retail Dashboard in Power BI to analyze sales, profit, and customer behavior. Identified profit leakage and loss-making products using discount vs. profit analysis. Performed customer segmentation into value groups to support targeted business strategies. Used DAX measures, Top N filtering, conditional formatting, and slicers to create dynamic insights. Designed an interactive dashboard enabling data-driven decision-making for business performance tracking.
FPGA Based AI Accelerated Crop Disease Detection and Monitoring System
September 1, 2025 – April 1, 2026
Trained deep learning models on 38K+ Plant Village RGB images and 4k+ hyperspectral datasets, incorporating vegetation indices such as NDVI, EVI, and SAVI. Deployed an optimized AI model on FPGA using Xilinx Vivado and Vitis AI toolchain for hardware-accelerated inference. Engineered a hybrid pipeline integrating image preprocessing, spectral feature extraction, and AI-based disease prediction. Published project findings in IEEE ICICAT 2025 on FPGA-based AI applications for agricultural monitoring.
Educator - Umeed
Umeed
December 1, 2025 – Present
IEEE ICICAT 2025 - Research Paper Presentation
IEEE
December 1, 2025 – Present
GenAI Powered Data Analytics Job Simulation
Tata
September 1, 2025 – Present
Embedded Systems, RF, VLSI for Next-Gen Electronics
Unknown
August 1, 2025 – Present
IEEE Published Research Paper – View on IEEE Xplore
IEEE
January 1, 2025 – Present
IEEE Published Researcher - Research paper on "FPGA-Based AI-Accelerated Crop Disease Detection and Real-Time Monitoring System” accepted and published at IEEE ICICAT 2025
IEEE
January 1, 2025 – Present
Introduction to Data Science
Cisco
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-accelerated crop disease detection to customer churn prediction and retail profit optimization, indicates a broad interest in applying data analytics across various domains. The academic project and IEEE publication demonstrate a commitment to research and innovation. The 'Educator - Umeed' certification suggests community involvement and a willingness to contribute beyond technical tasks. The candidate's skills align well with a Data Analyst role, showing a blend of technical depth and practical application, which could be a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Communication', 'Teamwork', 'Stakeholder Management', and 'Requirement Gathering' as soft skills. Project descriptions demonstrate an ability to work on complex problems, suggesting good problem-solving and analytical capabilities. The experience with Streamlit applications indicates an understanding of presenting insights, which aligns with communication and stakeholder management. The academic project and publication also suggest a proactive and research-oriented approach.