Abhimanyu

Bengaluru, Bangalore Division, Karnataka, India
Abhimanyu
Experience: 2 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: AWS, Django, Jupyter Notebooks, Matplotlib, MySQL, NumPy, pandas, PostgreSQL, Power BI, Python, Python3, PyTorch, R, scikit-learn
Previously worked at: IT Service Companies
Assessment Score: 75
  • Years of Experience and Expertise
    Data Scientist with approximately 2 years of experience, specializing in machine learning, deep learning, time series analysis, and optimization techniques. Adept at extracting actionable insights and driving business innovation through data science solutions.
  • Educational Background
    Currently pursuing a B.S. in Data Science from IIT Madras, with a completed M.Tech in Renewable Energy from IIT Jodhpur. Extensive academic foundation in machine learning, deep learning, statistics, and data analytics across multiple disciplines.
  • Professional Experience and Roles
    Gained practical experience working as a Junior Data Scientist at Datapoem and Trigital Technology, contributing to time series modeling, recommendation systems, and NLP-based solutions. Additionally, completed internships where hands-on work in deep learning, computer vision, and smart city surveillance systems were central.
  • Key Projects and Achievements
    Led projects including accident detection using CNN, sentiment analysis with DistilBERT, and wind turbine bearing life prediction using Autoencoders. Demonstrated strong problem-solving and analytical skills through diverse and complex data challenges.
  • Technical Skills and Tools
    Proficient in Python, R, SQL, machine learning algorithms (XGBoost, Neural Networks), deep learning frameworks (TensorFlow, Keras, Pytorch), data visualization tools (Power BI, Tableau), and cloud technologies (AWS). Skilled in working with optimization algorithms and big data frameworks.
  • Certifications and Professional Development
    Actively pursuing certifications in data science and machine learning, with strong academic and practical knowledge in renewable energy applications. Continually applying cutting-edge technologies such as Transformers (BERT, Llama-2) in projects to advance data science capabilities.

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