Innovative Lead Data Scientist with over 14 years of expertise in Statistics, Machine Learning, and AI to drive business solutions.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Gokul.github.io
July 31, 2024 – July 31, 2024
Portfolio website for Gokul P, a Lead Data Scientist with 14+ years of experience in Statistics, Machine Learning, and AI. Showcasing expertise in data-driven strategies, team leadership, and algorithm development. Includes professional experience, projects, skills, education, and contact details.
View Projectsocial_network
April 25, 2020 – November 13, 2017
A basic social network built using flask
View Projectdatascience_bootcamp
April 25, 2020 – October 31, 2017
datascience_bootcamp — GitHub repository
View ProjectPersonalized_Cancer_Diagonosis
April 24, 2020 – December 7, 2019
Applying various machine learning classification techniques on a dataset which contains around 3.3K datapoints of Gene ( Gene causing cancer ), Variations ( Variations in the architecture of amino acids or variations in protein-protein interactions ) and TEXT ( Medical Literature which will help in classifying the type of cancer)
View ProjectA-Comprehensive-Deep-Learning-Workflow-with-Python
March 11, 2019 – November 7, 2018
This tutorial demonstrates the basic workflow for Deep Learning.You should be familiar with basic linear algebra,Python and the Jupyter Notebook editor. It also helps if you have a basic understanding of Machine Learning and classification.
View ProjectCompetition-Toolbox
March 11, 2019 – February 16, 2019
competition toolbox is some python function code, that help you participate in data science projects.
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong personal drive towards learning and applying data science concepts. The diversity of project topics (analytics, deep learning, social networks, cancer diagnosis) suggests a broad interest within the data science domain. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and cultural alignment in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.