Shivam
Saharanpur, Saharanpur Division, Uttar Pradesh, India
Experience: 5 years
Open to: Fractional, Full-Time, Part-Time
Education: Masters
Availability: Within 30 Days
Skills: Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, Oracle, pandas, Postman, Problem Solving, Python, Python3, scikit-learn, TensorFlow, Unix
Previously worked at: Fortune 500, IT Service Companies, Startups, US-based Companies
Assessment Score: 100
- Professional Experience: With over 5 years of experience, the candidate has worked across diverse industries, specializing in Data Science, Computer Vision, LLM, and Deep Learning. Experience includes roles in data extraction, cleaning, pre-processing, and visualization, with a strong focus on developing AI and ML solutions for financial services and logistics domains.
- Technical Expertise: Skilled in a range of tools and technologies such as Azure, Python, SQL, OpenCV, Flask, CNN, NLP, and Object Detection. Proficient in machine learning algorithms, data visualization tools, and deep learning models, with hands-on experience in using OpenAI API for data extraction.
- Notable Achievements: Led teams in implementing image classification models that significantly reduced misclassifications by 20% and boosted model accuracy by 15%. Developed a Flask app for automating data processing, which increased efficiency by 35%. Recognized with multiple awards for excellence, including LinkedIn Community Top Voice in Deep Learning, Data Science, and Machine Learning.
- Education: Currently pursuing a Master of Science in Data Science from Liverpool John Moores University (2023-2024) and an Executive Post Graduate Programme in Data Science from IIITB, Bengaluru (2023). Holds a B.Tech in Computer Science and Engineering from Noida Institute of Engineering and Technology.
- Industry Recognition: Acknowledged for outstanding contributions with multiple accolades such as “Employee of the Quarter” at bluCognition and a fee waiver for M.Sc. in Data Science. Recognized as a top community voice on LinkedIn in various fields, including deep learning, data science, and machine learning.
- Volunteering & Leadership: Contributed as a Data Scientist to the MI4People project in Munich, Germany, focusing on developing AI-driven disease detection models from X-ray images to enhance healthcare accessibility and early diagnosis.