Om Saxena
Computer Science Engineering
B.Tech from Hindustan College Of Science & Technology Mathura, Computer Science & Engineering student passionate about analyzing data, extracting insights, and driving impactful data-driven decisions
View My WorkAbout Me
A brief introduction to my background and skills.
I am a final-year undergraduate at the Hindustan College Of Science & Technology Mathura , specializing in Computer Science & Engineering. My academic journey has equipped me with a strong foundation in programming, data analysis, and problem-solving, while fostering a passion for building innovative solutions.
Through internships and projects, I've gained hands-on experience in data analysis, machine learning, and Generative AI concepts. I am proficient in data analytics tools, machine learning frameworks, and GenAI technologies, and I am always eager to apply my analytical and problem-solving skills to new challenges.
HCST, Mathura
B.Tech '26
Internship Experience
Where I've worked and what I've done.
IBM Internship
PBEL IBM Virtual Internship
Sept 2025 - November 2025
- Hands-on with Python, scikit-learn, NLTK, Hugging Face for NLP tasks.
- Strengthened problem-solving and AI solution presentation in a virtual setting.
- Applied data preprocessing, feature engineering, and model evaluation techniques.
- Built a Spam SMS Classifier using NLP (TF-IDF, Bag-of-Words) and ML models.
Eduskills Virtual Internship On Data Analytics By Alteryx Sparked
Alteryx Sparked
Oct 2024 - Dec 2024
- Gained hands-on experience with process automation, data visualization, and predictive analytics.
- Conducted exploratory data analysis (EDA) and generated actionable insights from real-world datasets.
- Hands-on with automation, visualization, and predictive analytics.
Academic Projects
A selection of my project work.
FilmFolio
Developed a responsive movie streaming website with API-driven search, filtering, recommendations, and streaming features using HTML, CSS, JavaScript, and Bootstrap.
Fake News Detector
Developed a fake news detection system using NLP techniques (text cleaning, TF-IDF) for feature extraction and trained machine learning models like Logistic Regression and Random Forest, achieving high accuracy and showcasing strong predictive modeling skills.
PowerBI Dashboard
Credit Card Financial Dashboard using Power BI to provide real-time insights into key performance metrics and trends. The project leveraged transactional data from a SQL database, applied DAX queries for advanced analysis, and delivered a dynamic dashboard to support data-driven decision-making.
Get In Touch
I'm actively seeking opportunities where I can contribute and grow. Feel free to reach out via email or connect with me on LinkedIn.