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AI Engineer with less than a year in Data Analytics & Machine Learning
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Proficient in Data Analytics and skilled in data visualization using tools such as Power BI, Tableau, and Matplotlib to present actionable insights. Experienced in AI/ML with applied knowledge in developing and deploying machine learning applications using Streamlit for real-world use cases. Results-driven Data Analytics and AI/ML enthusiast with hands-on experience in predictive modeling, data preprocessing, and model evaluation using Python and Scikit-learn. Committed to leveraging analytics and machine learning to deliver measurable business impact.
Zidio Development
Online Internship
July 1, 2024 – August 1, 2024
India
YBI Foundation
Virtual Internship
June 1, 2024 – July 1, 2024
India
KPMG
Virtual Internship
October 1, 2023 – November 1, 2023
India
Power BI - Credit Card Financial Dashboard
January 1, 2025 – June 1, 2026
Developed an interactive Credit Card Financial Dashboard in Power BI analyzing 10K+ customer transactions to track revenue performance across INR 55M+ revenue & INR 45M+ transaction volume, interest income, customer acquisition trends, and quarterly growth metrics across multiple credit card categories. Identified key spending patterns and high-value customer segments contributing over 35% of total revenue using DAX calculations, KPI tracking, expenditure patterns, and drill-down analysis, improving visibility into customer behavior and profitability trends.
View ProjectDiagnoBridge - AI Smart Health Care Platform
January 1, 2025 – June 1, 2026
Developed a multi-disease prediction platform using ensemble learning (RF, XGBoost, Logistic Regression), achieving 97.61% accuracy in symptom-based disease prediction for AI-driven early risk detection for Diabetes, Heart Disease, and Parkinson's. Integrated Streamlit-based UI, Firebase authentication, prediction history tracking, PDF report generation, and a hybrid health chatbot to deliver a secure, end-to-end smart healthcare solution supporting preventive decision-making.
View ProjectSpeech Emotion Recognition System
January 1, 2025 – June 1, 2026
Built an AI-driven Speech Emotion Recognition model using 2.8K+ labeled speech recordings and MFCC feature extraction to classify 7 human emotions from audio signals. Implemented an LSTM deep learning architecture with 256 neurons and 50 training epochs, utilizing Librosa, NumPy, and feature extraction using MFCCs, training deep learning models like CNNs, feature engineering, and emotion prediction.
View ProjectTableau - HR Analytics Dashboard
January 1, 2025 – June 1, 2026
Developed an interactive HR Analytics Dashboard in Tableau analyzing 1K+ employee records, INR 120M+ salary distribution, integrating overview, and workforce demographics across multiple departments to support data-driven HR planning and performance analysis. Identified top-performing departments contributing over 30% of high-performance ratings and analyzed gender diversity, age segmentation, and employee retention trends using calculated fields, drill-down analysis, and dynamic Tableau visualizations.
View ProjectPower BI - E-Commerce Sales Dashboard
January 1, 2025 – June 1, 2026
Built an interactive e-commerce analytics dashboard in Power BI to analyze INR 438K+ sales revenue, customer purchasing behavior, profit distribution, and quarterly sales trends across 1.5K+ transaction records. Leveraged DAX measures, drill-down analysis, and dynamic filters to identify top-performing categories contributing 63% of total quantity sold, enabling data-driven business insights and profitability analysis for e-commerce growth and optimization.
View ProjectData Analytics with Python
MyCaptain
June 1, 2026 – Present
Web Development
Internshala
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from HR analytics and financial dashboards to AI-driven healthcare and emotion recognition, indicates a broad interest and adaptability, which can be a good cultural fit for dynamic environments. The focus on AI/ML aligns well with the target role of an AI Engineer. The internships, though virtual, show an initiative to gain practical experience. The breadth of technical skills (Python, R, SQL, various ML frameworks) suggests a willingness to learn and adapt to different technological stacks.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach through project descriptions, focusing on measurable impact (e.g., 97.61% accuracy, 35% revenue contribution). The virtual internships suggest an ability to work in structured environments and apply theoretical knowledge to case studies. However, without direct interview data, specific soft skills like teamwork, problem-solving under pressure, or adaptability cannot be fully assessed.