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Victor

Delhi, India

Profile Score

Skills & Expertise (29)

Data Science Advanced

8.3/10

Years Exp

Machine Learning Advanced

8.3/10

Years Exp

Python Advanced

8.1/10

Years Exp

Deep Learning Advanced

8.0/10

Years Exp

Gradient Descent LaTeX Folium BeautifulSoup Dash Plotly scikit-learn Pandas NumPy Seaborn Matplotlib REST APIs SQL Data Visualization Predictive Modeling Feature Engineering Dimensionality Reduction Statistical Inference Unsupervised Learning Supervised Learning Clustering Algorithms EDA Web Scraping Sentiment Analysis Image Classification

Work Experience

Software Engineer

KMC-RoboPhysicists

Sep 2023 - Feb 2024

Designed and implemented an autonomous path-finding algorithm for rover navigation across 10+ obstacle types, reducing collision incidents by 60%. Developed an intuitive joystick control system for rover operation, improving usability and reducing operator training time. Collaborated in a team environment, contributing to weekly code reviews and sprint planning for robotics deliverables.

Tutor

Academic Tutor

Nov 2023 - Feb 2024

Designed structured lesson plans in Probability, Statistics, and Calculus for college freshmen. Adapted teaching methods to individual learning styles to improve conceptual understanding.

Participant

BCG Data Science Virtual Program

Jul 2025 - Jul 2025

Conducted a customer churn analysis simulation, identifying key drivers and outlining a structured investigation approach. Performed exploratory analysis and feature engineering using Python (Pandas, NumPy) with visualization-driven insights. Built and optimized a Random Forest model for churn prediction. Delivered an executive summary with actionable recommendations for stakeholder decision-making.

Data Science Intern

DevTown

Jan 2023 - Apr 2023

Developed and optimized deep learning models (VGG16, ResNet50) for image classification, achieving 91% accuracy on 28,000+ images using augmentation and normalization. Built a sentiment analysis pipeline using TensorFlow/Keras to classify customer reviews with multi-hot encoding and efficient preprocessing. Performed web scraping and large-scale EDA, identifying 3 key behavioral trends that informed business strategy decisions.

DL (Project) Intern

Dr. Manju’s Lab, University of Delhi, Maitreyi College

Aug 2025 - Feb 2026

Engineered a full-cycle ML pipeline to preprocess image datasets for YOLOV8 and VGG16 object detection, implementing custom preprocessing and annotation logic. Designed a controlled experiment to quantify model sensitivity, training variants across different dataset partitions and batch sizes. Building a real time sign language recognition and interpretation. Project’s Objective: Conduct a comparative analysis on deep learning models for sign language detection.

Research Assistant

Dr. Dhirendra’s Lab, Delhi Technological University

Aug 2025 - Present

Implemented clustering algorithms from scratch to analyze centroid or plane-based partitioning behavior and convergence properties. Derived and implemented clustering algorithms from first principles (journal articles), extending to robust variants incorporating fuzzy logic and hybrid loss functions. Applied geometric and probabilistic foundations of unsupervised learning to biomedical image segmentation challenges. Developed a new clustering ensemble algorithm with multiple plane base clusterings.

Participant

British Airways Virtual Program

Aug 2023 - Aug 2023

Participated in the open access British Airways Virtual Experience Program with Forage. Modeled future lounge demand using data-driven forecasting techniques. Developed a predictive model to analyze factors influencing customer purchasing behavior.