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
Activity
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2 hours focused work > 10 hours distracted work. Set your phone away, turn off notifications. 8 hours of good deep work and you’ll be sorted with…
2 hours focused work > 10 hours distracted work. Set your phone away, turn off notifications. 8 hours of good deep work and you’ll be sorted with…
Liked by Manikanth Palamakula
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5️⃣ [SQL for Everyone: Transform Data into Insights](https://lnkd.in/g7-mCdEK) 🧠 Become a data hero by mastering SQL from zero to pro! 💻…
5️⃣ [SQL for Everyone: Transform Data into Insights](https://lnkd.in/g7-mCdEK) 🧠 Become a data hero by mastering SQL from zero to pro! 💻…
Liked by Manikanth Palamakula
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If your Github profile looks like this, YC is hiring https://lnkd.in/gkxZU5kF
If your Github profile looks like this, YC is hiring https://lnkd.in/gkxZU5kF
Liked by Manikanth Palamakula
Experience
Education
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Vardhaman College of Engineering (VCEH)
Bachelor's degree Electronics and Communications Engineering
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Licenses & Certifications
Projects
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Multimodal NLP Project: Extracting Focused Information from Scanned Documents
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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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Since there are some comments about it... The goal of the book is actually to discuss the implementation, adaptation and productization of the best…
Since there are some comments about it... The goal of the book is actually to discuss the implementation, adaptation and productization of the best…
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After yesterday's budget, any sensible investor should ask:- What's the guarantee that in the next 30-years, the long-term capital gains on…
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[1] IT backend jobs vs AI/ML jobs [2] Building parallel income streams vs constantly prepping for exams [3] Local experiences vs Global Experiences…
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Searching for Best Practices in Retrieval-Augmented Generation. Retrieval-augmented generation (RAG) techniques have emerged as powerful tools for…
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