- 📈 I’m interested in Data Science.
- 🎯 Currently working on Real-World Projects to skill up myself.
- ✌️ I’m willing to collaborate on Machine Learning Projects.
- 🎓 Pursuing a Bachelor of Technology in Artificial Intelligence and Data Science.
- 📡 How to contact me:
- 🌀 Pronouns : He/Him
- 🥴 Fun fact : I'll cook when I'm stressed out.
- Multi-Label Toxic Comment Detection :
- This project implements a multi-label toxic comment classification system using classical Natural Language Processing (NLP) and machine learning techniques. The goal is to automatically identify different types of toxic behavior in online comments, where a single comment may belong to multiple categories such as toxic, obscene, insult, threat, severe toxic, and identity hate.
- The workflow includes data cleaning, feature engineering, and text vectorization using TF-IDF with unigrams and bigrams. A One-Vs-Rest Logistic Regression model is trained to handle the multi-label nature of the problem. Since the dataset is highly imbalanced, the model is evaluated using F1-score and ROC-AUC metrics rather than accuracy to ensure reliable performance assessment.
- This project demonstrates a complete end-to-end machine learning pipeline for text classification, with a focus on interpretability, proper evaluation, and best practices in handling real-world NLP data. [https://github.com/msns-1927/Multi-Label-Toxic-Comment-Detection]
- TelcoVision : AI-Powered Market Churn Prediction System :
- Developed a machine learning system to predict telecom subscriber churn across India (2009–2025). Used XGBoost, LightGBM, and Ensemble models with circle-wise and operator-wise data for accurate forecasting.Built an interactive dashboard for real-time churn monitoring, risk segmentation, and business impact insights.Delivered a production-ready solution supporting data-driven retention and revenue optimization strategies. [https://github.com/msns-1927/telecom_subscriptions_churn_prediction_sys]
- YouTube Video Downloader :
- Developed a Python desktop application with Tkinter enabling easy YouTube video/audio downloads in multiple formats. Integrated yt-dlp and ffmpeg for efficient downloads, audio extraction, and conversion. Designed a simple interface with folder selection, error handling, and progress feedback, making content downloading accessible without command-line complexity. [https://github.com/msns-1927/yt_vd_downloader]
- TED Talks Data Analysis & Visualization :
- Preprocessed and analyzed the TED Talks dataset to explore patterns in speaker popularity and engagement.
- Built and tuned binary classification models using hyperparameter optimization, achieving an accuracy improvement of 15% over baseline models.
- Visualized topic trends and feature importance insights to guide future recommendation systems.
- Marigold Harvesting Project (Community Service) :
- Led a data collection and optimization initiative to improve yield prediction and resource allocation for agricultural efficiency.
- Programming : Python, R(Basics), SQL.
- Machine Learning : Supervised/Unsupervised Learning, Feature Engineering, Model Evaluation, Ensemble Models, Model Deployment.
- Frameworks & Tools : Numpy, Pandas, Matplotlib, Scikit-Learn, XGBoost, LightGBM, Jupyter Notebook, PyCharm, MS Office
- Visualization & Databases : Power BI, Looker Studio, Excel, PostgreSQL, pgAdmin4
- Soft Skills : Communication, Time Management, Team Leadership, Analytical Thinking, Attention to detail.
- Data Scientist with Advanced Gen AI @ Innomatics Research Labs (Nov 2025 - Present) :
- Actively engaging in assigned projects, products, and trainings related to Data Science, Artificial Intelligence, Machine Learning, and GenAI.
- Applying theoretical concepts and putting best efforts into executing complex tasks to continuously upskill in advanced analytics and model development.
- Acknowledged the highly confidential nature of the association and the requirement to keep all business information strictly confidential.
- Associate Project Manager @ Excelerate (Oct 2025 - Nov 2025) :
- Led team efforts to develop a comprehensive project plan for a Global Career Fair.
- Directed the team's research and assessment of AI project management tools for task automation, resource allocation and risk management.
- Compiled and presented the team's consolidated research and testing insights, delivering actionable AI integration recommendations to project associates.
- Data Scientist @ Evoastra Ventures Inc. (Sep 2025 - Oct 2025) :
- Delivered business-impact technical solutions by analyzing large datasets and optimizing data-driven workflows.
- Collaborated closely with project leads to improve process efficiency by 20% through clear progress updates and automation.
- Contributed to live projects involving machine learning pipelines and data visualization dashboards.
- Data Analyst Associate @ Excelerate (Aug 2025 - Sep 2025) :
- Extracted, cleaned, and analyzed large-scale datasets using PostgreSQL, pgAdmin4, and Excel to identify key performance trends.
- Developed dynamic dashboards in Google Looker Studio, improving stakeholder decision visibility by 30%.
- Executed performance reports that enhanced understanding of business KPIs, leading to more data-informed planning.