Data Science with less than a year in Machine Learning, Data Analytics, and AI application developme
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Scientist and Python Developer with hands-on experience in Machine Learning, Data Analytics, and AI application development. Skilled in Python, SQL, TensorFlow, Scikit-learn, Pandas, and Power BI for building predictive models, data-driven dashboards, and intelligent solutions. Developed an AI-powered Crop Disease Detection and Smart Irrigation Recommendation Platform, demonstrating expertise in deep learning and problem-solving. Passionate about leveraging data and AI to drive impactful business outcomes.
IES IPS ACADEMY INDORE
Bachelor of Technology · Computer science and Data Science
November 1, 2022 – May 1, 2026
Vimala Convent Hr. Sec (CBSE) School Sanawad
Higher Secondary
April 1, 2020 – June 1, 2022
Prodigy InfoTech
Data Science & Analytics Intern
June 1, 2025 – July 1, 2025
India
AI-Powered Crop Disease Detection & Smart Irrigation Recommendation Platform
June 24, 2026 – Present
• Developed a full-stack AI-powered agricultural platform using Python, TensorFlow, Keras, and Gradio for real-time crop disease detection from leaf images. • Trained a MobileNetV2-based transfer learning model on the PlantVillage dataset comprising 38 disease classes across 14 crop species, achieving robust classification performance. • Implemented data augmentation techniques including rotation, zoom, flipping, and brightness adjustment to improve model generalization and real-world accuracy. • Built a secure authentication system using SHA-256 password hashing and OTP-based email verification via Google SMTP services. • Designed an intelligent diagnostic engine that generated personalized treatment plans, irrigation recommendations, and disease management strategies based on AI predictions. • Integrated multilingual support using Google Translator API and automated PDF report generation for downloadable crop health reports. • Utilized TensorFlow, NumPy, Deep Translator, JSON, SMTP, and FPDF to develop a scalable and user-friendly smart farming solution.
IBM Data Science Professional Certificate
IBM & Coursera
September 1, 2025 – Present
Google Data Analytics Professional Certificate
Google & Coursera
September 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong interest in Data Science and AI, aligning well with the target role. The projects demonstrate initiative and a desire to build practical solutions. The certifications indicate a commitment to continuous learning and professional development. The diversity of projects (crop disease detection, traffic analysis, sentiment analysis, customer prediction) suggests adaptability and a broad interest in applying data science across different domains. However, the candidate is still early in their career, and exposure to diverse team environments or collaborative projects is not explicitly detailed, which could be a point for further exploration.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem Solving' and 'Communication Skills' as other skills. The project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving aptitude. The detailed project descriptions also show an ability to articulate technical work clearly. However, without direct interaction or specific assessment scores for these areas, a definitive evaluation of soft skills and operational fit is limited.