Naman
Bengaluru, Bangalore Division, Karnataka, India
Experience: 0 years
Open to: Fractional, Full-Time, Part-Time
Education: Bachelors
Availability: Within 30 Days
Skills: Jupyter Notebooks, MySQL, NumPy, pandas, Power BI, Python, Python3, scikit-learn
Previously worked at: IT Service Companies, Startups, US-based Companies
Assessment Score: 75
- Educational Background
Holds a Bachelor of Technology (B. Tech) in Artificial Intelligence & Data Science from Arya College of Engineering & I.T., completed in 2024, with a strong foundation in data science and machine learning techniques. - Professional Experience
Currently working as a Data Analyst at Flipkart on a contract basis (September 2024 – present), responsible for data reporting and analysis using SQL, Excel, and Power BI. Previously interned at Ambuja Cement Foundation (AU Ignite) and Celebal Technologies, contributing to data science and AI projects, automating dashboards, and building predictive models. - Technical Skills
Proficient in Python, SQL, and C/C++, with hands-on experience using tools like Power BI, Excel, and Jupyter Notebook for data cleaning, data visualization, and reporting. Skilled in data science techniques, including machine learning, data modeling, and business intelligence. - Project Experience
Worked on significant projects such as the Car Price Prediction Model, using machine learning and Python, and the E-Commerce Sales Dashboard, leveraging Power BI to visualize and analyze sales data. These projects helped develop practical insights for decision-making and trend analysis. - Internship Experience
Gained hands-on experience during internships, including creating machine learning models like the Toxic Comment Classifier and contributing to AI-driven initiatives at Celebal Technologies. Developed expertise in data cleaning, visualization, and automation of reports at Ambuja Cement Foundation. - Certifications and Continuous Learning
Certified in Red Hat System Administration (RHCSA), Google Crash Course on Python, and Meta’s Database Structures and Management with MySQL, demonstrating a commitment to professional development and deepening expertise in data analysis and systems management.