Akash Anilkumar Nair

Project : CloudOps Assistance

• Technologies: Python, GenAI, IBM WatsonX, RAG(Retrieval Augmented Generation)
• Details: Objective of this project is to create/request cloud recourses from desired cloud service provide using Chatbot.

Project: Telecom Data Analysis

• Technologies: Python, GenAI, IBM WatsonX, RAG(Retrieval Augmented Generation)
• Details: Objective of this use case is to generate descriptive analysis from telecom database which will help users to analyze their telecom data

Project: Anomaly Detection using Entropy

• Technologies: Python, Random Forest, XgBoost, Voting Classifier
• Details: Objective of this project was to add Entropy feature to existing Anomaly Detection engine

Project: Video Sentiment Analysis

• Technologies: Python, pydub, speech_recognition, moviepy, DeepFace, OpenCV
• Role: Extract the transcript and the frames from a conversation video and analyze the sentiment of the speaker

Project: Conversation Analyzer with Transcript generation

• Technologies: Python, resemblyzer, pydub, spectralcluster, speech_recognition, moviepy
• Details: Use case 1: Extract call recordings from official meeting and locate any inappropriate or unprofessional conversation, and then alert corresponding user and his manager to improve conversation in future
• Use case 2: Extract Transcript and append with video.

Project: Automation Testing using Machine Learning

• Technologies: Python, Machine Learning
• Details: We have identified 3 use cases which can be useful in the testing process. 1.Predict whether test case will pass or fail. 2.Get coverage of the test cases. 3.Find probability of test functions in failure.

Project : MLOps

• Technologies : Python, Databricks, Snowflake, Airflow
• Details : Objective of this projects was to automate the work of an ML Engineer so that we can expedite ML pipeline.

Project: Dashboard for tracking customer order tracking

• Technologies: HTML, CSS, Bootstrap, JavaScript
• Role: Create admin dashboard to track end-to-end activities related to all the transactions.
• Details: La Marzocco mainly deals with manufacturing coffee machines and related parts
• The dashboards created involves; user management, order tracking, order management, inventory management and so on.

Project: Data analytics

• Technologies: Hadoop, Python, Hive, Power BI
• Role: Requirement gathering, Business understanding, Hive Query, Data analysis, build Power BI dashboard
• Details: Objective of the project is to retrieve large amount of data from Hadoop ecosystem and generate meaningful insights which will increase business and productivity of the company
• The dashboard involves; Payments Tracker, User Productivity, Payments stats and cheque clearing tracker.

Project: Consumer fraud detection

• Technologies: Python, Random Forest, Boruta Algorithm, Docker
• Role: Requirement gathering, Exploratory data analysis, Data pre-processing, Feature Engineering, Feature selection, Predictive modelling, Parameter tuning, model comparison, deployment.
• Details: Objective of the project was to predict, if a customer requesting for a loan, would be a defaulter or not.

Project: Recommendation Engine

• Technologies: R programming, Python, Docker, Apriori Algorithm.
• Role: Requirement gathering, Exploratory Data Analysis, Data pre-processing, Feature engineering, Model feasibility, Integrating R code(Apriori Algorithm) with python using Rpy2 library, Deployment using docker container.
• Details: This project involved creating recommendation system for mobile phone sales on client website