Sayaan Frah

As an enthusiastic and dedicated data scientist fresher, I bring a strong academic foundation and a passion for data-driven decision-making. With a keen interest in harnessing the power of data, I am eager to contribute to innovative projects and drive meaningful insights through advanced analytics and machine learning.
Skills

• Programming Languages: Python, R, SQL
• Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
• Machine Learning: Scikit-learn, TensorFlow, Keras
• Data Visualization: Tableau, Power BI
• Big Data Technologies: Hadoop, Spark (basic knowledge)
• Tools and Environments: Jupyter Notebooks, Git, Anaconda

Projects

Predictive Analytics for Customer Churn
Utilized machine learning models to predict customer churn for a telecommunications company. Employed techniques like logistic regression, decision trees, and random forests, achieving an accuracy of 85%.

Sales Forecasting Model
Developed a time series forecasting model to predict sales for a retail chain using ARIMA and Prophet models. The project improved the inventory management process by 20%.

Social Media Sentiment Analysis
Analyzed sentiment from Twitter data using natural language processing (NLP) techniques. Implemented word cloud visualizations and sentiment scoring to derive insights on public opinion regarding major brands.
Data Science Intern
Quantium Virtual, Remote | 4/05/2024

• Assisted in data cleaning and preprocessing tasks for a large dataset involving customer transactions.
• Contributed to the development of a recommendation system for product suggestions using collaborative filtering.
• Participated in team meetings and brainstorming sessions to propose solutions for data-driven business problems.

Bachelor of Engineering in Computer Science
RKDF INSTITUTE OF SCIENCE AND TEHNOLOGY,

• Relevant coursework: Data Structures, Algorithms, Statistics, Machine Learning, Data Mining, Database Management.

Online Certifications

• Data Science Specialization By Data Trained 
• Machine Learning by IBM
• Microsoft Machine Learning
• Microsoft Explore and analyze data with python

Skills

• Programming Languages: Python, R, SQL
• Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
• Machine Learning: Scikit-learn, TensorFlow, Keras
• Data Visualization: Tableau, Power BI
• Web Scraping: Selenium, BeautifulSoup
• Big Data Technologies: Hadoop, Spark (basic knowledge)
• Tools and Environments: Jupyter Notebooks, Git, Anaconda ,Microsoft Azure

Projects

Predictive Analytics for Customer Churn
Utilized machine learning models to predict customer churn for a telecommunications company. Employed techniques like logistic regression, decision trees, and random forests, achieving an accuracy of 85%.

Sales Forecasting Model
Developed a time series forecasting model to predict sales for a retail chain using ARIMA and Prophet models. The project improved the inventory management process by 20%.

Social Media Sentiment Analysis
Analyzed sentiment from Twitter data using natural language processing (NLP) techniques. Implemented word cloud visualizations and sentiment scoring to derive insights on public opinion regarding major brands.

Internship Experience

Data Analyst Intern (Virtual Internship)
Quantium | 

• Engaged in data analysis tasks using Python, focusing on cleaning and preprocessing large datasets.
• Implemented machine learning models to derive insights and support business decisions.
• Gained hands-on experience in the end-to-end data analysis process.

Data Scientist Intern
Fliprobo, Bangalore 

• Utilized web scraping tools like Selenium and BeautifulSoup to gather data from various sources.
• Performed data cleaning, preprocessing, and analysis to extract valuable insights.
• Built predictive models to support data-driven decision-making processes.

Bachelor of Engineering in Computer Science
RKDF INSTITUTE OF SCIENCE AND TEHNOLOGY,

• Relevant coursework: Data Structures, Algorithms, Statistics, Machine Learning, Data Mining, Database Management.

Online Certifications

• Data Science Specialization By Data Trained 
• Machine Learning by IBM
• Microsoft Machine Learning
• Microsoft Explore and analyze data with python