Tanisha Tijare

Data Science graduate student at MIT World Peace University with a bachelor's in Computational Mathematics and Statistics, proficient in Python, R, SQL, MATLAB, machine learning, and Power BI. Experienced in web development, bio-signal analysis, web scraping, and recommendation systems, with a strong foundation in both theoretical and practical aspects of data science. Known for high productivity, efficient task completion, and the ability to translate data insights into actionable strategies, with expertise in data analysis, statistical modeling, and visualization. Strong problem-solver with excellent communication skills, eager to contribute fresh perspectives to innovative data science projects.

• Census Income Project:

This project utilized Power BI to analyze and visualize census income data, involving data processing and interactive dashboard creation.

The work provided insights into socioeconomic trends and income-influencing factors across various population segments through visualizations of income distributions and demographic breakdowns.

• Bio-signal Analysis for Smoking:

This data science project analyzed bio-signals to study smoking behavior, utilizing physiological data from smokers and non-smokers.

Machine learning algorithms were applied to identify patterns and biomarkers associated with nicotine addiction, with the goal of developing predictive models for smoking habits and potentially supporting smoking cessation efforts.

• Netflix recommendation:

This project developed a Netflix-like recommendation system in Python, using collaborative filtering to analyze user viewing history and ratings.

The system aimed to predict and suggest personalized content, enhancing user experience by leveraging patterns in viewing behavior and preferences.

• Web Scraping using Python:

Web scraping in Python extracts data from websites for analysis, storage, or use in machine learning models.

This critical data science technique gathers large datasets from various web sources, with emphasis on ethical considerations and legal compliance.

• Advanced Certification In Data Analytics For Business

The program led by the IIT Madras faculty helped me to develop a strong skillset including descriptive statistics, probability distributions, predictive modeling, time series forecasting, data architecture strategies, business analytics, and other skills to excel in this field.

• Data Visualization With Power BI

This course equipped me with crucial skills for creating impactful data visualizations using Power BI. I learned to import, clean, and transform data, design interactive dashboards, and craft compelling visual narratives.

• Complete Python Boot-camp From Zero To Hero

This comprehensive Udemy course provided a thorough Python education, covering fundamentals to advanced concepts. I mastered core programming principles, explored diverse libraries, and gained hands-on experience, transforming from a beginner to a proficient Python developer over nine months.

• Google Analytics Certification

I've gained insights into market dynamics and trends, mastered profit and loss analysis techniques, and learned to leverage analytical tools effectively. This knowledge equipped me to make data-driven decisions and understand business performance comprehensively.

• Data Science, Analytics And AI For Business And Real World

I've mastered Google Analytics for data interpretation and visualization. My Python skills have expanded to include key data science libraries. I've also gained understanding of machine learning and deep learning concepts, prepared me to tackle complex data problems and derive insights from diverse datasets.

• Machine Learning And Data Science Boot-camp 2023

Acquired foundational knowledge of Python programming and specialized libraries for data science; created data analysis scripts that reduced manual data cleaning efforts by 30% and improved accuracy by 25%