Hi, I’m Hritika Sharma 👋

Aspiring Data Scientist | Python | Machine Learning | NLP

📍 Mississauga, Ontario, Canada 🎓 BSc (Hons) Computer Science Graduate — Algoma University

I’m an AI/ML-focused Computer Science graduate with experience in Python, data pipelines, machine learning experimentation, and model evaluation.

I enjoy building systems that turn raw data into something structured, useful, and easier to understand. My work has focused on data workflows, NLP, speech recognition evaluation, experiment tracking, and human-in-the-loop analysis.

I’m especially interested in using data to support better product decisions, experimentation, and user-centered insights.

Right now, I’m looking for entry-level opportunities where I can grow in data science, machine learning, analytics, Python development, or applied AI.

• Data Science
• Machine Learning
• NLP
• Speech Recognition Evaluation
• Data Pipelines
• Model Evaluation
• Experiment Tracking
• Human-in-the-loop AI
• Product Analytics and Experimentation

Algoma University Research Project May 2025 — Present Tech: Python · FFmpeg · JSON · React · Git · ASR

HATS is a research project focused on improving how Automatic Speech Recognition systems are evaluated.

Instead of only relying on traditional metrics, the project supports side-by-side human evaluation of transcript outputs from multiple ASR models.

What I worked on:

• Built data pipelines for audio processing, transcript normalization, and structured evaluation datasets
• Designed workflows to compare outputs from multiple ASR models including Whisper, Wav2Vec2, HuBERT, and SpeechBrain
• Supported annotation workflows for side-by-side human evaluation
• Created structured dataset formats for consistent model comparison
• Contributed to research focused on improving evaluation methods for speech recognition systems

Focus: NLP · ASR · Data Pipelines · Model Evaluation · Human-in-the-loop AI

Self Project Jan 2025 — Feb 2025 Tech: Python · scikit-learn · pandas

ML Experiment Tracker is a simple machine learning framework for tracking experiments, model versions, and evaluation metrics.

I built this project to practice reproducible machine learning workflows and better understand how different model configurations affect performance.

What I built:

• Created a framework for tracking machine learning experiments
• Logged model versions, configurations, and evaluation metrics
• Applied class balancing, stratified sampling, and recall-focused evaluation
• Compared multiple model runs in a structured way
• Improved consistency in iterative experimentation workflows

Focus: Machine Learning · Experiment Tracking · Model Evaluation · Reproducible ML

NLP Mood Classification App Tech: Python · Flask · React · scikit-learn · TF-IDF · Logistic Regression

AI Mood Analyzer is a full-stack NLP project that predicts the mood behind a sentence.

I built it because I was interested in how language can reflect emotion, even when people do not directly say how they feel.

What it does:

• Takes text input from the user
• Predicts a mood category using a machine learning model
• Shows prediction confidence
• Uses a React frontend and Flask backend

Focus: NLP · Text Classification · Machine Learning · Full-stack AI

Interactive AI-Powered Resume Visualizer Tech: Next.js · React · Three.js · React Three Fiber · Tailwind · Groq API

Resume Universe is a creative coding project that turns a traditional resume into an interactive visual career map.

Instead of showing skills and projects as plain text, it turns them into animated clusters that users can explore.

What I built:

• 3D skill and project visualization
• Interactive resume experience
• AI-generated career and skill insights
• Animated UI using React Three Fiber
• A more creative way to represent technical experience

Focus: Creative Coding · AI Interfaces · Web Development · Data Visualization

IT Intern Jun 2021 — Feb 2022 Kathmandu, Nepal

• Maintained computer systems and supported robotics kits used in technical workshops
• Assisted with setup and troubleshooting of hardware and software systems
• Developed technical learning materials for introductory robotics programming sessions
• Supported operational continuity of lab equipment and training environments

Programming & Tools: Python · SQL · Git/GitHub · Jupyter · VS Code · Anaconda · FFmpeg

Data & Machine Learning: Pandas · NumPy · scikit-learn · Machine Learning · NLP · ASR · Data Pipelines

Concepts: Experimentation · A/B Testing · Model Evaluation · Data Cleaning · Statistical Analysis

Systems & Formats: JSON · REST APIs · Relational Databases · CLI

Algoma University — Brampton, Ontario BSc (Hons) Computer Science

I’m open to entry-level roles in:

• Data Science
• Data Analysis
• Machine Learning
• NLP
• Python Development
• AI/ML Research Support
• Product Analytics
• Software Engineering

I’m still learning, building, debugging, and improving with every project — and I’m excited to keep growing in data and AI.

📧 Email: hrisharma2002@gmail.com 💼 LinkedIn: linkedin.com/in/hritikasharma2002 📄 Resume: View My CV