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Data Engineer at Akaike Technologies Pvt Ltd. Interested in Data Science, Machine Learning and Quantum Information.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Akaike Technologies
Manager, Algorithms and Machine Learning
June 13, 2026 – Present
BuildingAgenticRAGWithLlamaIndex
August 29, 2024 – September 10, 2024
Building Agentic RAG With LlamaIndex
View ProjectComputerVisionProject-Cassava-Leaf-Disease-Classification
August 11, 2022 – August 11, 2022
Cassava Leaf Disease Classification using CNN build with Tensorflow and Transfer Learning technique.
View ProjectTimeSeriesProject
March 16, 2022 – March 16, 2022
Predicting the annual water usage in Baltimore city.
View ProjectComputer-Vision-Project
May 6, 2020 – May 6, 2020
Used openCV to analyse the image and recognised the objects present in the image.
View ProjectDeep-Learning-models
May 5, 2020 – May 5, 2020
This repository is collection of all my deep learning models and exercises. It Includes CNN and MultiLayer perceptron model on MNIST digit recognition dataset and 'happy or sad' dataset.
View ProjectSolution-to-Python-for-Everybody-book
May 4, 2020 – May 4, 2020
My solutions to coding problems in selected chapters of Python for Everybody book by Charles R. Severance
View Projectsalarypredictionportfolio
February 18, 2020 – May 4, 2020
Salary Prediction Project (Python) using machine learning and deep learning models.
View ProjectDeveloping-an-Income-classifier-system-for-individuals
February 1, 2020 – February 21, 2020
We build a classification model to classify whether an individual income is less than a certain mark or not, based on demographic parameters, and a few financial parameters, in order to predict whether to give Subsidy to an individual or not.
View ProjectDataScienceProject-1
January 4, 2020 – February 21, 2020
Predicting Price of Pre-Owned Cars.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and primarily focus on foundational machine learning and deep learning exercises. While relevant to the target role, the lack of team-based projects, diverse industry applications, or leadership experience in the provided project descriptions suggests a potential gap in cultural fit for a 'Manager' role. The experience section lists a current manager role, but without details on responsibilities or team interaction, it's difficult to assess cultural fit for a leadership position. The experience level of 0 also contradicts the manager role, indicating a potential mismatch or lack of clarity in the profile.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, but they hold a 'Manager, Algorithms and Machine Learning' role, which is contradictory and requires clarification. No psychometric test results are available.