Manikanth Palamakula

Manikanth Palamakula

Senior Data Scientist

Hyderabad, Telangana, India
753 followers 500+ connections

About

🚀 IT Professional with 5+ years of experience in the industry, specializing in data science and machine learning. Experienced Data Scientist with a focus on projects within the automation sector.

📊 Possesses advanced skills in statistical analysis, data modeling, and the full lifecycle development and execution of projects.

💡 Strong proficiency in feature engineering, algorithm development, model training, and implementation.

🔧 Experienced in utilizing Tensorflow, Transformers, and Transfer Learning for application development.

# SKILLS & COMPETENCIES
🔹 Expertise in C/Python programming and MySQL.
🔹 Quick and effective learner, adept at implementing new technologies.
🔹 Excellent mathematical, problem-solving, and logical skills.
🔹 Active participation in hackathons across various platforms and writing blogs on Medium.
🔹 Contributor to Analytics Vidhya and Data-Driven Investor publications.

# TECHNICAL SKILLS
🛠️ Machine Learning, Natural Language Processing (NLP), Computer Vision (CV), Regression, Multi-Label Classification, Transfer Learning, Transformers, Ensembles, Stacking Classifiers.
🛠️ Tensorflow, SQL, Python, Keras, Pandas, NumPy, Seaborn, Matplotlib, Transformers, AutoML.
🛠️ Clustering, Recommendation Systems, Time Series Forecasting, Power BI, Microsoft Excel, AWS SageMaker, Kubernetes, Docker, Flask, Streamlit, Jekyll, Selenium, Automation, Scripting, YAML, Git, GitHub, Tableau, AWS Lambda, SOTA, LIME.

🔹 Deep Learning, Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Generative Adversarial Networks (GAN)
🔹 Feature Selection, Model Selection, Hyperparameter Tuning, Cross-Validation, Model Evaluation Metrics
🔹 Data Preprocessing, Data Augmentation, Imbalanced Data Handling, Data Augmentation
🔹 Apache Spark, Apache Hadoop, Apache Kafka, Apache Flink
🔹 Reinforcement Learning, Q-Learning, Policy Gradient Methods
🔹 Explainable AI (XAI), Model Interpretability Techniques
🔹 Cloud Computing Services (Google Cloud Platform, Microsoft Azure)
🔹 Data Governance, Data Privacy Regulations (GDPR, HIPAA, CCPA)
🔹 Cybersecurity in AI, Adversarial Attacks, Privacy-Preserving Machine Learning Techniques
🔹 Quantum Machine Learning, Quantum Computing Algorithms
🔹 AI Ethics, Responsible AI Practices, AI Bias Mitigation
🔹 AI Governance Frameworks, AI Regulatory Compliance
🔹 Agile Development Methodologies, Scrum, Kanb

Contributions

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Experience

  • Emmes Graphic

    Senior Data Scientist

    Emmes

    - Present 3 months

    Hyderabad, Telangana, India

  • LTIMindtree Graphic

    Data Scientist

    LTIMindtree

    - 1 year 9 months

    Hyderabad, Telangana, India

  • Wipro Limited Graphic

    Data Analyst

    Wipro Limited

    - 3 years 6 months

    Bengaluru Area, India

Education

Licenses & Certifications

Projects

  • Multimodal NLP Project: Extracting Focused Information from Scanned Documents

    -

    This project successfully utilized advanced NLP techniques and a multimodality approach to extract handwritten text from
    document images. Through the fine-tuning of models like LayoutLMv3 and the development of custom Python modules, we
    achieved high-performance scores and demonstrated the efficacy of our chosen NLP models. Our work showcased expertise in
    model selection, fine-tuning, and data processing, resulting in the successful extraction of focused information from scanned

    This project successfully utilized advanced NLP techniques and a multimodality approach to extract handwritten text from
    document images. Through the fine-tuning of models like LayoutLMv3 and the development of custom Python modules, we
    achieved high-performance scores and demonstrated the efficacy of our chosen NLP models. Our work showcased expertise in
    model selection, fine-tuning, and data processing, resulting in the successful extraction of focused information from scanned
    documents
    Responsibilities:
    ● Leveraged advanced Natural Language Processing (NLP) techniques with a multimodality approach for extracting
    handwritten text from document images.
    ● Utilized key NLP models, including LayoutLMv3, and fine-tuned them with custom data to achieve high-performance
    scores.
    ● Implementedframeworks like layout parser to complement the chosen NLP models in the extraction process.
    ● Developed bespoke Python modules for efficient data processing, integrating computer vision and mathematical
    techniques for optimized transformation.
    ● Successfully experimented with and selected multimodality NLP models, with a focus on LayoutLMv3, demonstrating
    proficiency in model customization.
    ● Achieved the project's objective by extracting and showcasing the efficacy of the chosen NLP models in processing
    scanned documents and extracting focused information

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