💼 Full Time Experience

CVRDE DRDO

Robotics Engineering R&D Intern

Company: Combat Vehicle Research and Development Establishment

Location: Avadi, Chennai, India

Duration: Jan 2023 – Jun 2023

  • Designed and simulated MAV components, robotic arms, and indexing mechanisms using PTC Creo and Gazebo.
  • Implemented object detection and wall avoidance for tank automation using ROS2.
  • Showcased autonomous robotic solutions with wireless control and performance evaluation.
Spectrum Technology

Mechatronics Engineering Intern

Company: Spectrum Technology

Location: Ambala, Haryana, India

Duration: Jun 2023 – Aug 2023

  • Integrated Arduino Uno with temperature sensor and LCD using LabVIEW and VISA.
  • Built a system to monitor machine temperature thresholds and persist breach counts across reboots.
  • Demonstrated seamless hardware-software synergy for industrial safety monitoring.

💼 Part Time Experience

Informed Western Care Services

Support Worker

Western Care Services | Sydney, NSW

April 2025 – Present

  • Provided compassionate, person-centered support to individuals, fostering independence and daily living skills.
  • Helped clients achieve personal goals through empathetic communication and tailored care strategies.
  • Demonstrated resilience, patience, and problem-solving in dynamic care environments.

📜 Specialization Certificates

UTS BUILD Graduate & Media Ambassador

Issuer: University of Technology Sydney (UTS)

Issued: Nov 2025

Completed the Beyond UTS International Leadership Development (BUILD) program, focusing on social ethics, global responsibility, and impactful leadership. As a Media Ambassador, applied strategic communication to translate complex missions into accessible narratives for a diverse student body. Collaborated with international stakeholders to build cross-cultural connections, cultivating a global mindset essential for today's distributed tech industry.

Data Scientist

Issuer: DataCamp

Issued: Jun 2025 | Expires: Jun 2027

Credential ID: DS0020595839814

License: View Certificate

Validated proficiency in Python, machine learning, and data visualization. Built data pipelines and delivered insights through real-world projects.

Introduction to Data Science Specialization

Issuer: IBM

Issued: May 2023

Credential ID: 5AF2TEMSGZR6

License: View Certificate

🎓 NPTEL Certifications

Data Analytics with Python

Issuer: NPTEL (IIT Roorkee)

Issued: Jul 2023

Explored Python-based data analysis, including NumPy, Pandas, and visualization techniques. Applied statistical methods and machine learning for real-world datasets.

License: View Certificate

Introduction to Machine Learning

Issuer: NPTEL (IIT Madras)

Issued: Jul 2023

Covered supervised and unsupervised learning, model evaluation, and algorithmic foundations. Built ML models using Python and Scikit-learn.

License: View Certificate

Programming, Data Structures and Algorithms Using Python

Issuer: NPTEL (IIT Madras)

Issued: Jul 2023

Mastered Python programming fundamentals, recursion, sorting, searching, and algorithmic problem-solving. Applied concepts to competitive coding challenges.

License: View Certificate

📜 Online Course Certificates

Applied Plotting, Charting & Data Representation in Python

Issuer: University of Michigan

Issued: Jul 2023

Credential ID: ADJAJK6MRHFT

License: View Certificate

Databases and SQL for Data Science with Python (Honors)

Issuer: IBM

Issued: May 2023

Credential ID: A3PYSUM5ZS52

License: View Certificate

Introduction to Data Science in Python

Issuer: University of Michigan

Issued: May 2023

Credential ID: VPT9HT98QQX5

License: View Certificate

Data Science Methodology

Issuer: IBM

Issued: Apr 2023

Credential ID: MKWBNUAR2DBK

License: View Certificate

Tools for Data Science

Issuer: IBM

Issued: Mar 2023

Credential ID: L3HNVZ99T8YW

License: View Certificate

What is Data Science?

Issuer: IBM

Issued: Feb 2023

Credential ID: GJQJ92P8ENKM

License: View Certificate

🌟 Initiatives

UTS Peer Networker

Institution: University of Technology Sydney

Location: Sydney, Australia

Duration: Nov 2025 - Present

Served as a student leader in the UTS Peer Network, a mission-driven community dedicated to ensuring new students transition smoothly into university life. Eased uncertainty for incoming students by leading campus tours, managing information desks, and hosting social hubs like speed friending to build connection and a strong sense of belonging.

UTS BUILD Program

Institution: University of Technology Sydney

Location: Sydney, Australia

Duration:Feb 2025 - Dec 2025

Completed the Beyond UTS International Leadership Development (BUILD) program, focused on global citizenship, intercultural competency, and social impact. Participated in workshops, speaker sessions, and immersive experiences aligned with the UN Sustainable Development Goals.

SOUL Program Volunteer

Institution: University of Technology Sydney

Location: Sydney, Australia

Duration:Feb 2025 - Present

Volunteered with the SOUL Program, contributing to community engagement and social justice initiatives. Supported events and campaigns that promote equity, inclusion, and student wellbeing across campus.

Member – UTS Outdoor Adventure Club

Institution: University of Technology Sydney

Location: Sydney, Australia

Duration:Feb 2025 - Present

Actively participate in outdoor expeditions, kayaking trips, and nature-based challenges that foster resilience, adaptability, and leadership. These experiences sharpen my ability to plan under uncertainty, collaborate across diverse teams, and stay calm under pressure—qualities I bring into both technical and support roles.

Member – UTS Hiking Club

Institution: University of Technology Sydney

Location: Sydney, Australia

Duration:Feb 2025 - Present

Explore trails across NSW with fellow hikers, building endurance, environmental awareness, and cultural appreciation. These hikes are more than physical—they’re a space for reflection, connection, and shared growth. They’ve taught me the value of persistence, preparation, and community—traits I carry into every project I lead or support.

Member – UTS Dinner Society

Institution: University of Technology Sydney

Location: Sydney, Australia

Duration:Feb 2025 - Present

Actively engaged with the UTS Dinner Society, a vibrant student-led community that celebrates food, culture, and connection. Collaborated in themed dinners, cultural nights, a nd collaborative events that foster inclusivity and cross-cultural friendships. A space where stories are shared over meals and diverse perspectives are welcomed.

NCC – National Cadet Corps (Airwing)

Institution: Thapar Institute of Engineering and Technology

Location: Patiala, India

Duration: April 2021 – June 2024

Developed discipline, leadership, and communication skills through structured training and team exercises.

NSS – National Service Scheme

Institution: Thapar Institute of Engineering and Technology

Location: Patiala, India

Duration: April 2021 – June 2024

Led community service initiatives, organized camps, and promoted social awareness through student engagement.

Core Member – Thapar Adventure Club

Institution: Thapar Institute of Engineering and Technology

Location: Patiala, India

Duration: January 2020 – June 2024

Managed treks, trips, and campus events. Specialized in event planning, documentation, and crowd coordination.

Technical Lead – Mechatronics & Robotics Society

Institution: Thapar Institute of Engineering and Technology

Location: Patiala, India

Duration: January 2020 – June 2024

Conducted robotics workshops and delivered technical sessions to over 2000 students. Focused on AI, computer vision, and hands-on innovation.

🚀 Projects

Safarnama - Next-Gen NSW Transit App

Download App / Live Site |

Built a comprehensive public transport and driving companion for New South Wales. Bridged the gap between static timetables and real-world infrastructure by integrating 5-second live GPS vehicle tracking, real-time car park occupancy percentages, cheap fuel locators, and intelligent "Arrive By" routing into a clean, modern interface.

Tech: Flutter, Dart, TfNSW Open Data API (GTFS-R), Protocol Buffers, flutter_map, REST APIs

Date: February 2026

Bitcoin Price Prediction System (Digital Product)

Live Demo | View Project

Built a comprehensive cryptocurrency analytics platform featuring ML-powered price predictions, interactive dashboards, and production-ready APIs. Achieved 99.14% R² Score using ensemble methods (XGBoost, LightGBM, CatBoost). Deployed end-to-end solution with FastAPI backend, Streamlit dashboard, and Docker containerization.

Tech: Python, XGBoost, LightGBM, CatBoost, FastAPI, Streamlit, Docker, Weights & Biases, LIME, Kraken API, CoinGecko API

Date: November 2025

Weather Prediction Digital Product

Live Demo | View Project

Developed a weather prediction system providing accurate forecasts for rain occurrence and precipitation amounts using ensemble ML models. Implemented binary classification for 7-day rain prediction and regression for 3-day precipitation forecasting. Integrated real-time data from Open-Meteo API with production-ready FastAPI backend and Streamlit interface.

Tech: Python, CatBoost, XGBoost, LightGBM, FastAPI, Streamlit, Docker, Open-Meteo API, Time-series Analysis

Date: November 2025

DoomBuoy - ML Model Comparison Library

PyPI Package | View Project

Created and published a Python library to streamline model comparison for data science projects. Supports binary/multiclass classification, regression, and time series tasks. Provides automated performance summaries, model visualization, and data quality assessment tools. Published on Test PyPI with comprehensive documentation and usage examples.

Tech: Python, Scikit-Learn, PyPI, Package Development, Model Evaluation, Data Quality Analysis, Cookiecutter, Apache License 2.0

Date: 2025

New York Taxi Big Data Analysis & Prediction

View Project

Processed and analyzed nearly 1 BILLION NYC taxi trip records (2014-2024) using distributed computing on Databricks. Built predictive models achieving 91% accuracy in fare prediction. Conducted comprehensive data quality analysis, identified 70+ million invalid records, and extracted actionable business insights for revenue optimization and route planning.

Tech: PySpark, Databricks, Python, Machine Learning, Big Data, Distributed Computing, Data Quality Analysis, Business Intelligence

Date: October 2025

NBA Next Pick - Draft Probability Prediction

View Project

Built ML models to predict NBA draft probability for college basketball players using statistics, demographics, and performance data. Achieved 0.98 ROC-AUC and 0.94 Recall through ensemble modeling combining Logistic Regression, LDA, and XGBoost. Implemented structured experimental approach with feature engineering and hyperparameter optimization.

Tech: Python, XGBoost, Scikit-Learn, Logistic Regression, LDA, Poetry, Jupyter, Feature Engineering, Ensemble Methods

Date: November 2025

PCOS Detection Using Machine Learning Methods

View Project

Developed predictive models for Polycystic Ovary Syndrome (PCOS) detection using clinical and lifestyle data. Optimized feature selection and classification performance, achieving 89% recall for True PCOS cases, ensuring robust generalization.

Tech: Python, Scikit-Learn, Data Analytics, Machine Learning, Data Visualization

Date: May 2025

Life Expectancy Prediction

View Project

Developed a machine learning model to predict life expectancy based on global health and socio-economic data. Applied data cleaning, feature Transformation, and regression algorithms to uncover key factors influencing longevity and provide actionable insights for public health strategies.

Tech: Python, Pandas, NumPy, Scikit-Learn, Data Analytics, Data Visualization, Regression, EDA, Jupyter Notebook

Date: September 2025

Telecom Customer Satisfaction & Churn Prediction

View Project

Built a machine learning model to predict customer satisfaction and churn for a telecom company, enabling targeted retention strategies. Used EDA, feature engineering, and a Random Forest Classifier to identify high-risk customers and support data-driven decisions.

Tech: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, SMOTE, Data Analytics, Data Visualization, EDA, Jupyter Notebook

Date: September 2025

House Rental Prediction

View Project

House Rental is a data science project focused on predicting residential rental prices. It features data cleaning, feature engineering, model development, and evaluation using real-world datasets, providing insights and visualizations to support rental market analysis.

Tech: Jupyter Notebook, Data Science, Feature Engineering, Model Evaluation, Predictive Modeling, EDA

Date: June 2025

Student at Academic Risk

View Project

Student at Academic Risk Detector: Developed a machine learning solution to identify students at risk of academic underperformance using educational data, featuring data preprocessing, feature engineering, model training, and actionable insights for early intervention; Tech: Python, Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn, Data Analytics, Machine Learning, Data Visualization, Jupyter Notebook, Data Science, Predictive Modeling, EDA.

Tech: Python, Scikit-Learn, Python, Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn, Data Analytics, Machine Learning, Data Visualization, Jupyter Notebook, Data Science, Feature Engine

Date: June 2025

Telecom Campaign Customer Segmentation & EDA

View Project

Analyzed customer data for a telecom company's new subscription plan marketing campaign to identify segments most responsive to targeted outreach. Performed comprehensive exploratory data analysis (EDA) to understand data structure, distributions, and relationships, uncovering actionable insights for campaign optimization.

Leveraged data science and visualization techniques—including statistical analysis, histograms, boxplots, pie charts, and heatmaps—to reveal patterns and key drivers of customer behavior. These insights supported data-driven marketing strategies and improved customer targeting in the telecom sector.

Tech: Python, Pandas, NumPy, Matplotlib, Seaborn, Data Analytics, Data Visualization, EDA, Jupyter Notebook

Date: Semptember 2025

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