AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Trainee Decision Scientist @ MuSigma | MySQL | Python | Power Bi |Tableau | Machine Learning | Excel | Statistics |Ex - President @ The Invincibles | A keen Learner 🧿
I am a passionate and certified B.Tech CSE AI ML student at Lovely Professional University, Jalandhar, dedicated to mastering the realms of data science and machine learning. My academic journey has equipped me with a robust foundation in statistical analysis, data mining, and machine learning algorithms. Proficient in Java, C, Python, and Linux Kali, I have also earned certifications in Python programming, HTML, CSS, and data visualization, showcasing my commitment to continuous learning. Beyond academia, I contribute as a Graphical Designer at Coding Ninjas LPU, where I leverage my creative prowess in designing web interfaces using HTML, CSS, and Bootstrap. Engaging in social marketing and event coordination, I showcase my teamwork and communication skills. My enthusiasm lies in applying web development and data visualization techniques to create immersive user experiences. As a keen learner, I am eager to explore new technologies and skills, making me a dynamic and adaptable professional. I am seeking opportunities to expand my portfolio and connect with industry professionals in the fields of Data Science and Web Development. As a certified fresher, I bring a blend of academic excellence, creative flair, and a passion for continuous growth to any role. Skills: +Data Analysis +Probability and Statistics +EDA +Tableau +Excel +Power Bi +Git +Agile methodology +Python +Machine Learning +Presentation Skills +Microsoft Office +NLP +Jira
Lovely Professional University
Bachelor's degree, Computer Science
September 1, 2021 – September 1, 2025
upGrad.com
Data Science
September 1, 2021 – June 1, 2025
Mu Sigma Inc.
Trainee Decision Scientist
August 1, 2025 – Present
Bengaluru, Karnataka, India · On-site
WAO Federation
Emeritus Member
September 1, 2024 – June 1, 2025
Jalandhar, Punjab, India
The Invincibles
President
June 1, 2024 – August 1, 2025
Jalandhar, Punjab, India · On-site
ThinkWht
Campus Ambassador
November 1, 2023 – May 1, 2024
Noida, Uttar Pradesh, India · Remote
CSRBOX
Data Analyst Intern
November 1, 2023 – November 1, 2023
Gurugram, Haryana, India · Remote
The Invincibles
Social Media Manager
October 1, 2023 – August 1, 2025
Jalandhar, Punjab, India · On-site
WAO Federation
Co head Graphical team
October 1, 2023 – February 1, 2025
Jalandhar, Punjab, India
Bharat Intern
Machine Learning Intern
August 1, 2023 – September 1, 2023
Online · Remote
Skillish
Campus Ambassador
June 1, 2023 – July 1, 2023
Remote
Tantranzm Academy
Web Application Developer
June 1, 2023 – July 1, 2023
Faridabad, Haryana, India · On-site
Coding Ninjas LPU
Graphical designer
June 1, 2022 – October 1, 2023
Lovely professional University Jalandhar · On-site
Us flight delay and prediction
November 1, 2025 – November 1, 2025
I recently completed a project called “US Flight Delay Predictor”, where I analyzed millions of real flight records to uncover patterns behind delays and built a machine learning model to predict them. Using Python, Pandas, NumPy, Matplotlib, and Scikit-learn, I explored trends by airline, city, and time of day, discovering that evening and weekend flights face the most delays. My Random Forest model achieved 77% accuracy, showing how data can make air travel smarter and more predictable.
Us flight delay and prediction
November 1, 2025 – November 1, 2025
I recently completed a project called “US Flight Delay Predictor”, where I analyzed millions of real flight records to uncover patterns behind delays and built a machine learning model to predict them. Using Python, Pandas, NumPy, Matplotlib, and Scikit-learn, I explored trends by airline, city, and time of day, discovering that evening and weekend flights face the most delays. My Random Forest model achieved 77% accuracy, showing how data can make air travel smarter and more predictable.
Sage X
July 1, 2025 – Present
Under Progress ... Built an NLP pipeline using Hugging Face to analyze symptoms from user text. Mapped inputs to modern + Ayurvedic treatments using 3 datasets (Symptoms, Precautions, Formulations). Aimed to deliver dual-perspective healthcare solutions.
Traffic Flow Prediction using YOLOv11 + LSTM (Smart Cities)
January 1, 2025 – May 1, 2025
Processed 10,000+ traffic video frames using YOLOv11 for vehicle detection. Built a CNN-LSTM model to predict traffic light clearance time with 82% accuracy. Potential application in intelligent traffic management systems.
File Automation (python)
August 1, 2024 – August 1, 2024
This is a File automation Python project (Using libraries like : os, shutil, time, Watchdog)
Heart Disease Prediction
January 1, 2024 – Present
Domain: Machine Learning | Programming Languages: Python, EDA, ML | Feb 2023 • Created a robust machine learning model utilizing logistic regression, accurately predicting heart disease likelihood from patient data, which improved diagnostic efficiency by 25% and enhanced patient outcomes by 15%Achieved high accuracy and precision in predicting heart disease risk, contributing to early detection and personalized healthcare strategies. • Developed a predictive model using logistic regression and other machine learning algorithms to assess heart disease risk, achieving an accuracy rate of 88% and reducing misdiagnosis cases by 20%. • Achieved high accuracy and precision in predicting heart disease risk, contributing to early detection and personalized healthcare strategies. • Conducted thorough data cleaning and preprocessing to ensure high-quality input data, enhancing the reliability of the predictive models. • Performed extensive feature engineering to extract meaningful features from raw patient data, improving model performance. • Implemented and evaluated various machine learning algorithms, selecting the best-performing model based on accuracy and precision metrics.
Uber Data Analysis
November 1, 2023 – November 1, 2023
Here i have used my EDA skills and done data analysis on Uber ride data which i have taken from Kaggle I have taken insights from this and got the insights of most rides from which state and the most ride booked for which purpose link : https://github.com/Thorus-Slughorm/uber_da
Random quotes
June 1, 2023 – July 1, 2023
this is a Random Quote Generator using HTML , CSS , JAVASCRIPT. when I was doing summer training from Board infinity
Simple Calculator
June 1, 2023 – July 1, 2023
with the help of these Foundations of React and JavaScript by Building a Calculator. Includes JSX, Callbacks, Events, + More
I'd Card Generator
May 1, 2023 – June 1, 2023
"Introducing my innovative college ID card generator, a product of passion and skill in web development. With a focus on user-friendly design, this feature-rich tool allows administrators to effortlessly create customized ID cards for students, faculty, and staff. The seamless integration of HTML, CSS, and JavaScript ensures a smooth and intuitive experience, enabling colleges to streamline their identification processes. Embracing flexibility, the generator accommodates various card layouts, color schemes, and QR code options for enhanced functionality. Simplifying identification management, this project brings efficiency and professionalism to college campuses. Join me in revolutionizing the college ID card system! #webdevelopment #javascript #collegeID #innovation" Board Infinity #boardinfinity Github link : https://lnkd.in/gdvbm9sQ
Music Player
April 1, 2023 – April 1, 2023
See what I have done in my College time I have completed a python project using some of its library like tkinter , pygame , os . I have created a MUSIC PLAYER named as "GONG PLAYER" it's a simple music player which extract music from drive u can upload or add any song you want to play in it
Advanced Python
June 23, 2026 – Present
SQL: Data Reporting and Analysis
June 23, 2026 – Present
Learning SQL Programming
June 23, 2026 – Present
Python (Basic) Certificate
HackerRank
June 23, 2026 – Present
Level 1: Data, ML and API Skills
Google Cloud Skills Boost
June 23, 2026 – Present
New Year, New Skills: Red Challenge (A)
Google Cloud Skills Boost
June 23, 2026 – Present
New Year, New Skills: Blue Challenge (A)
Google Cloud Skills Boost
June 23, 2026 – Present
New Year, New Skills: Yellow Challenge (A)
Google Cloud Skills Boost
June 23, 2026 – Present
New Year, New Skills: Green Challenge (A)
Google Cloud Skills Boost
June 23, 2026 – Present
Introduction to Cloud Computing for IT Pros
June 23, 2026 – Present
What Is Program Management?
June 23, 2026 – Present
Advanced SQL for Data Science: Time Series
June 23, 2026 – Present
Machine Learning with Python: Foundations
June 23, 2026 – Present
Using Python with Excel
June 23, 2026 – Present
The Java Course From Scratch
Udemy
June 23, 2026 – Present
DevOps tools for beginners : Linux Command Line
Udemy
June 23, 2026 – Present
Linux command line
Udemy
June 23, 2026 – Present
HTML, CSS & Python – Web Development Certification Course
Udemy
June 23, 2026 – Present
For Loops and Conditional Statements in Python Course
Dataquest.io
June 23, 2026 – Present
7-days bootcamp with DevTown on Python and Data Visualization
Google Developers Group
June 23, 2026 – Present
Introduction to Programming Using HTML and CSS
Udemy
June 23, 2026 – Present
Introduction to Python Programming Course
Dataquest.io
June 23, 2026 – Present
Artificial Intelligence Foundations: Thinking Machines
June 23, 2026 – Present
LPU_internship_2025
upGrad Campus
June 23, 2026 – Present
AWS APAC - Solutions Architecture Job Simulation
Forage
June 23, 2026 – Present
Introduction to Prompt Engineering for Generative AI
June 23, 2026 – Present
SQL Essential Training
June 23, 2026 – Present
Fundamentals to Become a Machine Learning Engineer
June 23, 2026 – Present
Training Neural Networks in Python
June 23, 2026 – Present
Reinforcement Learning Foundations
June 23, 2026 – Present
Deep Learning: Model Optimization and Tuning
June 23, 2026 – Present
Deep Learning: Getting Started
June 23, 2026 – Present
Artificial Intelligence Foundations: Machine Learning
June 23, 2026 – Present
ChatGPT Foundations for K–12 Educators
OpenAI
June 23, 2026 – Present
Data Analytics with Excel Pivot Tables
Udemy
June 23, 2026 – Present
Basic of Java
Coding Ninja
June 23, 2026 – Present
Python for Data Science
IBM
June 23, 2026 – Present
Java: Data Structures
June 23, 2026 – Present
Virtual Experience Program Participant
Accenture
June 23, 2026 – Present
Building simple calculator using react and js
Udemy
June 23, 2026 – Present
Javascript Programming
Udemy
June 23, 2026 – Present
PHP for Beginners 2023: The Complete PHP MySQL PDO Course
Udemy
June 23, 2026 – Present
Python for Data Science Tips, Tricks, and Techniques
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from web development to various machine learning applications, indicates a broad interest and willingness to explore different technical domains. Their involvement in multiple university clubs and ambassador roles suggests a proactive and engaged individual, which can contribute positively to team dynamics. The target role of ML Engineer aligns with their recent project focus and certifications, showing a clear career direction. However, the experience is primarily academic and extracurricular, with limited professional ML engineering experience.
Soft Skills & Operational Fit
The candidate shows strong leadership and teamwork skills through various organizational roles (President, Social Media Manager, Co-head Graphical team). Problem-solving is also highlighted in several experiences. These indicate a potential for good operational fit and collaboration within a team. However, the descriptions of these roles are more focused on organizational aspects rather than technical contributions, making it difficult to assess their application in a technical context.