Alfiya Tamboli

Skilled in data analysis, statistical analysis, and generating actionable insights to support business decision-making. Proficient in tools like Python, and SQL, with hands-on experience in clustering, predictive modelling, and CNN-based image analysis. Adept at ensuring data integrity, optimizing workflows, and delivering clear, data-driven reports. Currently pursuing an MS in Data Science, with a proven track record of managing large datasets and presenting complex findings in accessible ways.

IIM Kozhikode Business Analytics

Expertise in data analysis, statistical methods, predictive modelling, and data visualization.

Career Essentials in Data Analysis by Microsoft & LinkedIn

Skills covered Data Analysis, Data Visualization and Data Analytics.

Data Mining and Machine learning project – Food Calories Data Analytics:

Cleaned and analyzed food calorie datasets using Python, applying feature selection, and machine learning models to predict calorie values. Leveraged clustering and classification techniques to categorize data and visualized insights for effective decision-making. Demonstrated proficiency in data preprocessing, model evaluation, and visualization tools (pandas, scikit-learn).

Document Tracking:

Processed and analyzed large datasets (100K+ rows) to derive insights using Python, pandas, and matplotlib. Implemented data validation techniques and recommendation algorithms based on document and user UUIDs. Designed an interactive GUI for better data input and analysis, enhancing user experience and ensuring data accuracy.