Key Strengths

Demonstrated interest in AI/ML through projects like 'AsteroidsAI', 'CNN-basic', and 'ML_Math'.
Proficiency in Python, a core language for Data Science.
Experience with fundamental ML concepts, including implementing algorithms from scratch.
Exposure to data-related concepts through projects like 'garminmcp' for personal health data analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, demonstrating initiative and a strong learning drive. However, the current experience is listed as 'Data Scientist - Digital Enterprise' starting in 2026, which appears to be a future role or a placeholder, making it difficult to assess real-world team collaboration or enterprise project experience. The project diversity shows a breadth of technical interests beyond core data science, which could be a strength for cross-functional teams but also indicates a less focused path towards a senior data scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Lokranjan P

Data Scientist - Digital Enterprise

https://www.opentalent.in/lokranjan-p-1

Data Scientist @ MiQ Digital | ISE '25 @ NIE Mysore

The National Institute of Engineering

IndiaMember since June 12, 2026

https://www.opentalent.in/lokranjan-p-1

Top Skills

PythonC++CMakeCSSHTMLJavaScriptDockerfile

Skills

PythonC++CMakeCSSHTMLJavaScriptDockerfile

Experience

The National Institute of Engineering

Data Scientist - Digital Enterprise

June 12, 2026 – Present

Projects

garminmcp

February 7, 2026 – Present

My personal MCP for understanding personal health and fitness trends through my Garmin Instinct 3

View Project

AI-based-load-balancer

December 22, 2024 – December 23, 2024

AI-based-load-balancer — GitHub repository

View Project

server_load_simulator

November 26, 2024 – April 18, 2025

CNN-basic

September 25, 2024 – September 27, 2024

Implementing a Convolutional neural network from scratch using only Numpy and SciPy.

View Project

2FA

August 6, 2024 – January 4, 2025

A custom 2FA system using Python, SQL, Redis, and SMTP, featuring dynamic 6-digit OTP generation with PyOTP. Will develop it into AaaS [Authentication as a Service] .

View Project

cred_validation

July 18, 2024 – July 20, 2024

Implementing Luhn's algorithm which is used in Credit Card, Social Security number validation with a Web Interface.

View Project

Asteroids

May 27, 2024 – August 16, 2024

Arcade game for a single player built using PyGame with various performance metrics and minimalistic graphics using OOP. This is also part of my undergrad minor project, 21IS6P01.

View Project

cryptosystems

May 21, 2024 – June 17, 2024

All cryptography algorithms of Cryptography and Network Security course implemented in C++ [21IS6C03]

View Project

AsteroidsAI

May 17, 2024 – April 8, 2025

Training a Deep Q Learning agent to master the famous arcade game, Asteroids using a DQN Neural Network with Long and Short term Memory recall. This is also my undergrad minor project, 21IS6P01.

View Project

Key Strengths

Demonstrated interest in AI/ML through projects like 'AsteroidsAI', 'CNN-basic', and 'ML_Math'.
Proficiency in Python, a core language for Data Science.
Experience with fundamental ML concepts, including implementing algorithms from scratch.
Exposure to data-related concepts through projects like 'garminmcp' for personal health data analysis.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.