Ajay
Delhi, Delhi Division, India
Experience: 3 years
Open to: Fractional, Full-Time, Part-Time
Education: Masters
Availability: Immediate
Skills: C, CPP, Data Warehouse, Matplotlib, MySQL, NumPy, pandas, Power BI, Problem Solving, Python, Python3, scikit-learn, Selenium, Tableau, Trello
Previously worked at: Startups
Assessment Score: 100
- Educational Background in Data Science and Economics
Holds a Master’s degree in Economics from the University of Allahabad and a Data Science Master’s Certification from SkilledUp. Complemented by foundational IT knowledge through the NIELIT ‘O’ level diploma, demonstrating a blend of analytical and technical expertise. - 2+ Years of Professional Experience in Data Science
Extensive experience as a Data Scientist, specializing in data preprocessing, visualization, and building machine learning models for regression and classification. Skilled in delivering actionable insights to improve business efficiency and decision-making processes. - Proficiency in Advanced Tools and Technologies
Expertise in Python, TensorFlow, Scikit-Learn, Power BI, SQL, and data visualization libraries like Matplotlib, Seaborn, and Plotly. Demonstrated capabilities in web scraping using tools like Beautiful Soup and requests, coupled with advanced Excel skills. - Key Contributions in Security and Demand Forecasting Projects
Led the development of the Shield XDR system, a comprehensive threat detection and response platform, by cleaning security logs, identifying patterns, and deploying machine learning solutions. Successfully implemented a demand forecasting model leveraging real-time data from web traffic and social media. - Junior Data Scientist Experience with Focus on Web Scraping
Created a Python-based web scraper for extracting structured data from URLs, ensuring efficient data collection and preprocessing. Delivered clear visualizations to enhance stakeholder understanding of the extracted data. - Strong Data Analysis and Communication Skills
Proven ability to clean and preprocess large datasets, handle missing data and outliers, and communicate findings effectively through compelling dashboards and visualizations. Skilled in exploratory data analysis to identify trends and support business objectives.