About Me
AI ML Engineer and Data Science enthusiast with experience in developing machine learning pipelines, NLP models, and data-driven applications. Skilled in Python, SQL, and various data science libraries. Proven ability to build predictive models, automate workflows, and deploy AI solutions.
Skills
Programming Languages
Data Science & ML
Cloud & Tools
Soft Skills
Work Experience
HeadsIn
AI ML Engineer
Jun 2025 - Till date
AI & ML Engineering
- Designed and deployed the HeadsIn chatbot to handle job and hiring-related queries using advanced NLP models.
- Built Saral AI, integrating external APIs for candidate and job data enrichment.
- Developed ML pipelines for job–candidate matching, improving accuracy of recommendations and searches.
- Automated lead generation and recruiter workflows, reducing manual effort and improving efficiency.
Unified Mentor
Internship | Data Science
Jan 2025 - Jun 2025
Data Science Internship
- Conducted data cleaning, preprocessing, and exploratory data analysis to derive actionable insights.
- Utilized Python, Pandas, NumPy, and Matplotlib for data analysis and visualization.
- Documented processes and findings to ensure project reproducibility and knowledge sharing.
Prodigy InfoTech
Internship | Data Science
Dec 2024 - Jan 2025
Data Science Internship
- Performed data wrangling, analysis, and visualization using Python and data science libraries.
- Built predictive models to optimize business processes and improve decision-making.
- Collaborated with teams to present insights and recommendations through dashboards and reports.
Projects
Automated Job Post Generator
Streamlit
Built an Automated Job Post Generator using Streamlit to quickly create customized job descriptions. Generates posts in three variants based on user inputs such as job role, skills, and contact details.
Engineering Signal
Streamlined the hiring process by enabling instant, ready-to-publish job posts tailored to specific requirements.
Image Captioning AI
Streamlit, Deep Learning, NLP
Developed an Image Captioning AI app using Streamlit that generates captions for uploaded images. Utilized deep learning–based image feature extraction and NLP models for accurate caption generation.
Engineering Signal
Deployed on Streamlit Cloud, allowing users to produce real-time captions through an intuitive web interface.
Movie Recommender System
Python, Pandas, Vectorization
Developed a content-based Movie Recommender System using Python and Pandas. Utilized vectorization techniques to calculate movie similarity for personalized recommendations.
Engineering Signal
Processed and analyzed a dataset of 5,000 movies to extract meaningful features for recommendations.
Twitter Sentiment Analysis
NLTK, Scikit-learn, NLP
Built a Twitter Sentiment Analysis model to classify tweets into positive, negative, or neutral sentiments. Preprocessed textual data, including tokenization, stopword removal, and stemming.
Engineering Signal
Leveraged natural language processing (NLP) techniques and libraries such as NLTK and Scikit-learn.
Education
Bachelors of Computer Application
VNSGU University
Senior Secondary (Class XII)
School
Percentage: 77.5
Certifications
Get In Touch
I'm currently looking for new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!