PRANAY MITTAL
LinkedIn
GitHub
YouTube
EDUCATION
Vellore Institute of Technology, Vellore
B-Tech in Computer Science with Specialization in Information Security: 7.68/10
Brightlands School, Dehradun
ISC (Class 12th)- 95.5%
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Vellore, India
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Dehradun, India
SKILLS
Programming Languages: C++, Python, SQL.
Data Analysis, Statistics & Machine Learning: Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLP, Statistics,
Inferential Statistics, Hypothesis Testing.
Databases: MySQL, PostgreSQL.
Tools: PowerBi, Jupyter Notebook, MS Excel.
EXPERIENCE
Uttarakhand Power Corporation Limited
Sept 2023 – Oct 2023
Technical Intern
• Gained hands-on experience with Angular, building dynamic components and applying core concepts while contributing
• to the UPCL app.
• Designed and implemented a login portal as a single-page application (SPA), creating reusable components for a
seamless user experience.
• Developed the login page with Material Design principles, ensuring a modern, responsive interface with essential
elements.
PROJECTS
HateGuard | Python, Machine Learning, Deep Learning, NLP, CNN
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Crafted and fine-tuned with NLP technology, an advanced multilingual hate speech detection solution by analyzing
samples across 52 languages.
Implemented Machine Learning models with an accuracy of 88%, further enhanced model performance to with custommade Deep Learning architecture to 95%.
Reduces harmful content in real-time on online platforms by identifying and flagging hate speech efficiently.
Tata Data Visualisation | Empowering Business with Effective Insights Job Simulation on Forage
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Completed a simulation involving creating data visualizations for Tata Consultancy Services.
Prepared questions for a meeting with client senior leadership.
Created visuals for data analysis to help executives with effective decision making.
Mood Monitor | Natural Language Processing (NLP), Machine Learning, Python
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By utilizing the provided You Tube link which will be provided as input, we can extract comments from the associated
content. Employing Natural Language Processing (NLP), we conduct sentiment analysis to discern the emotional tone
within these comments.
The process enables content creators to understand how viewers perceive their YouTube Videos. Whether the
feedback is negative, or neutral, the analysis as a valuable tool for creators to comprehend audience sentiments.
AWARDS & ACHIEVEMENTS
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Winner of State & District and CISCE National Sports & Games Lawn Tennis Tournament in 2019.
Participated in 65th National School Games 2019-20 Lawn Tennis U19 affiliated to SGFI.
EXTRA CURRICULAR ACTIVITIES
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Created and edited engaging YouTube Shorts with 8D audio, visual design, and subtitles, managing end-to-end production
and optimizing for audience engagement.
