Bilsi, Uttar Pradesh, India
Hello! I’m Abhishek Maheshwari, a final fear BCA student with a strong interest in Data Analytics, Data Visualization, and AI tools. I enjoy working with data, solving problems, and creating insights using tools like Python, SQL, Excel, and Power BI. I love learning by doing, and most of my skills are built through hands-on practice, personal projects, and continuous self-learning. What I can do: Clean, analyze, and visualize data Build dashboards and reports Write efficient SQL queries Automate tasks using Python Work with AI tools (ChatGPT, GitHub Copilot, DeepSeek, Gemini) Explore my work: GitHub: github.com/Abhishek-Maheshwari-778 Credly: credly.com/users/abhishek-maheshwari.cfa5f896 Google Cloud Skills Boost: https://www.cloudskillsboost.google/public_profiles/e26d1820-fce8-4d3c-a20a-5853210cea6f https://partner.cloudskillsboost.google/public_profiles/3bc365c1-e452-4328-9d7b-5bbd64c99f21 My goal: To grow as a Data Analyst and work on real-world data projects and internships. Let’s connect, learn, and build together
Successfully completed a 10-week Data Analytics with Python & Power BI Virtual Internship organized by EduSkills Foundation in collaboration with AICTE (Ministry of Education, Government of India). Key Learnings & Achievements: • Performed data analysis using Python libraries such as Pandas and NumPy • Worked on data cleaning, preprocessing, and exploratory data analysis (EDA) • Built interactive dashboards and reports using Power BI • Learned data visualization techniques to present insights clearly • Developed practical understanding of real-world data analytics workflows Certificate issued by AICTE – EduSkills Academy Certificate ID: 42cca5fd77b4427f0ef1 Verification: https://certificate.eduskillsfoundation.org/verify/42cca5fd77b4427f0ef1/42cca5fd77b4427f0ef1
Successfully completed a 10-week Industrial Automation Virtual Internship organized by EduSkills Foundation in collaboration with AICTE (Ministry of Education, Government of India) under the National Internship Portal. Key Learnings & Achievements: • Gained practical understanding of Industrial Automation systems • Learned PLC Programming fundamentals and automation logic • Developed knowledge of Control Systems, sensors, and actuators • Strengthened industry-aligned technical skills for automation and manufacturing domains 📜 Certificate issued by AICTE – EduSkills Academy 🔗 Verification: https://aicte-internship.eduskillsfoundation.org/pages/home
Successfully completed a 10-week Data Science Master Virtual Internship organized by EduSkills Foundation in collaboration with AICTE (All India Council for Technical Education) and Altair. Key Learnings & Achievements: • Gained practical experience in data preprocessing, analysis, and visualization using Python. • Explored predictive modeling and machine learning concepts. • Learned to apply statistical methods for deriving meaningful insights. • Strengthened understanding of real-world data-driven problem solving. (Verification available at: [https://aicte-internship.eduskillsfoundation.org/pages/home/](https://aicte-internship.eduskillsfoundation.org/pages/home/))*
Completed a 2-month internship as a Data Science & Analytics Intern at Zidio Development. Key Contributions & Learnings: • Worked on real-world datasets to extract meaningful insights using Python and SQL. • Developed skills in data preprocessing, visualization, and reporting. • Gained hands-on exposure to statistical analysis and machine learning workflows. Certificate issued on 07-09-2025 by Zidio Development.
Executed a 2-month internship as a Data Science & Analytics Intern. Worked on Projects : 1. Image Captioning & Panoptic Segmentation Integrated BLIP-2 and Mask2Former into a single Al pipeline. Built context-aware image captioning with object detection support. 2.Stock Market Trend Prediction & Analysis. Built automated stock data pipeline using Python & yfinance. Visualized Buy/Sell insights using Power BI dashboards.
Completed hands-on Python projects to enhance logical thinking and problem-solving. Built real-world applications by applying core Python concepts like functions, loops, file handling, and modules. Gained experience in writing clean, efficient, and modular code. Worked independently and submitted projects within deadlines under minimal supervision.