
AI Engineer @ CCTech, Pune
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Centre for Computational Technologies Pvt. Ltd.
Data Scientist
June 18, 2026 – Present
mcp-discovery
January 5, 2026 – Present
This project is designed to connect to multiple Model Context Protocol (MCP) servers, and basis of the query asked, this will help in returning the appropriate MCP server and tools, and can also help in executing the same.
View Projectyelp-review-agentic-analysis
September 6, 2025 – September 8, 2025
yelp-review-agentic-analysis — GitHub repository
View Projectconversation_analysis
September 1, 2025 – September 13, 2025
This project is designed to understand the conversation between debt collector agents and borrowers.
View ProjectNeural_Network_Backpropogation
May 14, 2023 – May 26, 2023
Implement backpropogation on neural network and convolutional neural network as Deep Learning for Computer Vision assignment
View ProjectImage_Classification
May 14, 2023 – May 26, 2023
Deep Learning Computer Vision assignment to implement different Image Classifiers on CIFAR-10 dataset
View ProjectObject-People-Detection
April 1, 2023 – April 1, 2023
Detect object and people in images using classical computer vision techniques
View ProjectRAI_Student_Dropout_Prediction
February 4, 2023 – February 9, 2023
Predict Student dropout using Responsible AI methodologies
View ProjectNLP_GoldenGlobe_Extractor
January 16, 2023 – January 16, 2023
Extract Golden Globe awards, hosts, presenters and winners using NLP and Regex
View Projectprivpolicy
June 10, 2019 – June 10, 2019
Extracting clauses from organizations' privacy policies based on user query
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering areas like NLP, Computer Vision, and Responsible AI, which aligns with a broad interest in data science. However, all listed projects are personal, and there is only one current work experience entry with a future start date, making it difficult to assess cultural fit within a professional team environment. The lack of completed technical tests also limits the ability to gauge practical application and problem-solving under pressure.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approach, or communication style in a team setting.