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AI/ML & Backend Dev | Building SaralAI for 600M+ users | NLP · FastAPI · React | SSIP'24
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Assessing your cultural and operational fit
AI_AGRI_PROJECT_SIDDHARTH_SADHU
May 31, 2026 – Present
AI-driven predictive system for climate risk assessment in Alphonso mango cultivation. Engineered a Python backend pipeline to ingest climate data, identify environmental stressors, and provide early warning alerts to farmers to minimize crop loss. Tech: Python, Pandas, Scikit-Learn.
View ProjectDV_Sem_6_Study_Material
May 12, 2026 – Present
📊 Complete Semester 6 Data Visualization Study Material repository containing interactive notes, Python visualization programs, Matplotlib, Seaborn, Plotly, Power BI, Looker Studio, and fully solved question bank solutions with modern UI and exam-oriented preparation.
View ProjectSE_Sem_6_Study_Material
May 9, 2026 – Present
A personalized study material for quick revision and preparation---For more clarity and diagrams follow the traditional PPT content as this is just for understanding the flow of subject.
View ProjectAI-ML-Job-Market-Analysis
April 18, 2026 – Present
Power BI dashboard analyzing global AI/ML job market salary trends, top roles & career trajectories — 151K+ records (2020–2025)
View Projectpytorch-practice-Structured-QUEST-proof
March 25, 2026 – Present
Created mainly for Structuring the problems.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML and data visualization, which aligns with a culture of continuous improvement and innovation. The diversity of projects, from predictive systems to study materials, suggests a broad interest in applying technical skills to various problems. However, the lack of professional experience or team-based projects limits the assessment of cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects, but team collaboration or communication skills are not explicitly demonstrated.