
Data Scientist | Specializing in DA, ML, PyTorch, Agentic AI, and Generative AI
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Assessing your cultural and operational fit
MITU Skillologies
Data Scientist
June 13, 2026 – Present
interns-may-2026
May 26, 2026 – Present
this repo contains the programs, practics and assignment problems
View ProjectReport-Generation-Agent
May 13, 2026 – Present
multi-agent system for generating and validating reports
View ProjectMET-Nasik-GEN-AI-Agentic-AI
February 5, 2026 – Present
Programs conducted at "Generative AI and Agentic AI" Training Program at MET BKC's Institute of Engineering, Nashik in February 2026.
View ProjectAjeenkya_DYP_Jan2026
January 7, 2026 – Present
this repo contains the code files and presentations of lectures conducted
View Projectmlops-project-1
December 26, 2024 – December 27, 2024
mlops-project-1 — GitHub repository
View ProjectLSTM_GRU_end_to_end
September 17, 2024 – September 17, 2024
This project aims to develop a deep learning model for predicting the next word in a given sequence of words. The model is built using Long Short-Term Memory (LSTM) networks, which are well-suited for sequence prediction tasks.
View ProjectSImple_RNN_Streamlit_Project
September 16, 2024 – September 16, 2024
this is a RNN complete project with embedding layer and streamlit app
View ProjectCultural Fit Analysis
The candidate's project history shows a strong focus on personal learning and development in AI/ML, which aligns with a culture of continuous improvement. The projects are diverse within the AI/ML domain, indicating a broad interest. However, without team-based project descriptions or work experience details, assessing collaboration and broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available. Project descriptions are brief, limiting insight into communication style or collaboration.