About Me
Aspiring Data Scientist and University Gold Medalist in B.Sc. Computer Science, pursuing an M.Sc. in Data Science with a CGPA of 8.91/10 and a strong foundation in Python, SQL, Machine Learning, Data Analysis, and Busine…
Aspiring Data Scientist and University Gold Medalist in B.Sc. Computer Science, pursuing an M.Sc. in Data Science with a CGPA of 8.91/10 and a strong foundation in Python, SQL, Machine Learning, Data Analysis, and Business Intelligence. Hands-on experience through internships in predictive analytics, market basket analysis, dashboard development, and competitive market research. Passionate about leveraging data to deliver actionable insights and contribute to innovative AI and analytics solutions.
Experience
Competitive Market Research Intern
<p>Conducted comparative analysis of AI-enabled maternal healthcare platforms against key competitors.</p><p> Evaluated competitors' digital marketing and social media strategies using Excel-based analysis.</p><p> Identified and presented SaveMom's unique AI-based strengths and strategic recommendations based on market trends.</p>
Machine Learning Intern
<p>Built supervised machine learning models using Scikit-learn for classification and prediction tasks.</p><p> Performed data preprocessing, including missing value treatment and feature engineering, using Pandas and Seaborn.</p><p> Created interactive dashboards in Power BI to communicate model insights to stakeholders.</p>
Data Science & Machine Learning Intern
<p>Performed market basket analysis using association rule mining to identify frequent purchase patterns and product combinations.</p><p> Cleaned and processed transactional datasets using Python and Pandas to support analysis.</p><p> Applied machine learning algorithms to generate data-driven business insights and visualized findings.</p>
Python Development Intern
<p>Developed an interactive Python dashboard for data visualization.</p><p> Processed and structured raw datasets to support dashboard reporting.</p>
PROJECTS
Market Basket Analysis
<p>Developed a Market Basket Analysis project using Collaborative Filtering to analyse customer purchase patterns and recommend products based on similarities in customer preferences and purchasing behaviour. The project helps identify related products and provide personalized recommendations</p>