At XLoop Digital, my role involved crafting and executing solutions across a variety of scenarios, with a focus on leveraging Object detection techniques, particularly YOLOv8 models, to optimize banking operations. I actively engaged with clients to understand their requirements, conceptualized proposals and collaborated on tailored solutions. My responsibilities extended to addressing challenges such as maintaining cleanliness in bank branches, optimizing parking facilities, and ensuring tidiness at espresso counters. I streamlined annotation processes using Roboflow, established efficient data pipelines, and orchestrated AWS containerization with CI/CD practices. A key aspect of my role was proficiently integrating machine learning methodologies to enable data-driven decision-making.

Social Network Analysis(SNA); As for making a heterogeneous graph to build a network.Analyzing the ETL pipeline, calculating different scores using the PageRank Algorithm.Extracted various features using the Networkx library and marked their annotations to train the model.Used Embedding techniques;Node2vec and Metapath2vec to extract features.Model prediction using Feedforward neural network and Graph Convolutional Network.Working on the different ML algorithms; Naive Bayes, Random Forest.Also assisted in loading the whole network using SNAP(Stanford Network analysis project).

Securiti is the leader in AI-Powered Data Security, Privacy and Compliance, winner of "Most Innovative Startup" at RSA, IAPP "Most Innovative" Award, Frost and Sullivan "Most Innovative" Award, Forbes "Top 25 AI companies", CB Insight Top 100 Global AI companies, etc. Securiti is also a Forrester Wave Leader and IDC Global Marketscape Leader.Check us out at www.securiti.ai

Worked on different ML/DL projectAI chatbot:NLP,NLTKPredictive Model classification:Keras,Tensorflow