- I’m a Data Scientist with hands-on experience in Machine Learning, Deep Learning, NLP, and
Data Analytics. I’ve completed my B.Tech in Computer Science with a specialization in AI and
Machine Learning.
- I’ve worke…
- I’m a Data Scientist with hands-on experience in Machine Learning, Deep Learning, NLP, and
Data Analytics. I’ve completed my B.Tech in Computer Science with a specialization in AI and
Machine Learning.
- I’ve worked on end-to-end data science projects across domains like banking, retail, healthcare,
and sentiment analysis. In these projects, I was responsible for data cleaning, feature engineering,
model building, and preparing deployment-ready pipelines.
- During my internship at Celebal Technologies, I improved a classification model’s accuracy by around
30% and also worked on large-scale sentiment analysis of customer reviews, which helped support
business decisions.
- I’m skilled in Python, SQL, Pandas, Scikit-learn, TensorFlow, Keras, and data visualization tools. I really
enjoy turning raw data into meaningful insights and practical AI solutions.
- I’m passionate about building scalable, real-world AI models and continuously upgrading my skills to
stay aligned with industry needs.”
<p>Developed a predictive classification model that improved accuracy of outcome predictions by 30%, utilizing data cleaning techniques, exploratory analysis, and feature engineering through logistic regression and decision trees.<br>
Conducted in-depth sentiment analysis on over 2,000 customer feedback entries from social media and reviews using NLP techniques, categorizing sentiments into positive, negative, or neutral to guide marketing strategy refinement.</p>
<p>DOMAIN: Banking & Finance</p><p>DESCRIPTION:Engineered an interactive loan performance dashboard with a grid view, automatically categorizing over 5,000 loans by status; enabled quick identification of delinquent accounts that streamlined risk mitigation efforts.</p><p>ALGORITHMS: Data Aggregation, Statistical Analysis</p><p>SKILLS: Data Cleaning, EDA, Data Visualization</p><p>TOOLS: Python, Pandas, Matplotlib, Seaborn, Google Sheets</p>
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