Angarak kumar

Data Scientist

Pune, Maharashtra, India5 yrs 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in Machine Learning and Deep Learning applications.
  • Proficient in developing predictive models and feature engineering.
  • Strong coding ability with experience in large codebases.
Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning applications.

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Skills

Core Skills

Machine LearningDeep Learning

Other Skills

Natural Language ProcessingData AnalysisPredictive ModelsImage ProcessingPythonRScikit-learnTensorFlowKerasLinear RegressionLogistic RegressionHealthcareEntertainmentStatisticsPython (Programming Language)

About

Proficient in Machine learning and Deep learning skills for multiple applications including Computer Vision, Time Series Analysis, Auto-encoders, Recommendation Systems, and Natural Language Processing. I have strong coding ability both in producing clean and efficient code as well as debugging and understanding large codebases. Having experience with a focus on Deep Learning, Machine Learning, Image processing. Some Dayin & Dayout tasks: Collected, cleaned, and preprocessed large datasets from various sources to ensure data accuracy and reliability. Conducted exploratory data analysis (EDA) to identify patterns, trends, and relationships in the data, using visualizations and statistical analysis techniques. Developed and implemented feature engineering techniques to create new features and transform existing ones, improving the predictive power of machine learning models. Built and trained machine learning models, selecting appropriate algorithms and fine-tuning hyperparameters for optimal performance. Applied machine learning models to solve business problems, such as classification, regression, clustering, and recommendation systems. Deployed machine learning models into production environments, collaborating with software engineers and data engineers to ensure scalability and reliability. Monitored model performance, analyzed metrics, and performed model maintenance, making necessary adjustments and retraining to ensure accuracy and effectiveness. Collaborated with cross-functional teams, including business stakeholders, domain experts, and other data professionals, to understand project requirements and communicate findings and insights. Stayed updated with the latest research, techniques, and tools in data science through continuous learning, attending conferences, and participating in online courses.

Experience

5 yrs 5 mos
Total Experience
1 yr 9 mos
Average Tenure
2 yrs 3 mos
Current Experience

Meta

Data Scientist

Feb 2024Present · 2 yrs 3 mos · Menlo Park, California, United States · Remote

Innodata inc.

Data Scientist

Jul 2023Jan 2024 · 6 mos · Noida, Uttar Pradesh, India · Remote

  • Spearheaded the development of a state-of-the-art Language Model for LLAMA model.
  • Implemented and optimized machine learning algorithms for large-scale data analysis.
  • Collaborated with cross-functional teams to gather requirements, design solutions, and implement data-driven strategies.
  • Conducted thorough exploratory data analysis (EDA) and developed predictive models to enhance the final result.
Machine LearningDeep LearningNatural Language ProcessingData AnalysisPredictive Models

Danalitic

Machine Learning Engineer

Jun 2018Feb 2021 · 2 yrs 8 mos · Pune, Maharashtra

  • As a Data Analyst and Artificial Intelligence Researcher, I am fully conversant in the fields of Data Analytics, Machine Learning, Deep Learning, Convolutional Networks, Recurrent Neural Networks, Reinforcement Learning, etc. For the purposes of my research and model architecture development, I use Python and R as the programming languages. For data analysis and construction of machine learning models, I mainly use APIs and platforms like Scikit-learn, Tensorflow, Keras but I have also used platforms like Caffe, PyTorch, etc. depending on my project needs.
  • Apart from these, domain-specific libraries and modules like OpenCV for image Processing and NLTK for Natural Language Processing are used regularly.
Machine LearningDeep LearningData AnalysisImage ProcessingPythonR+3

Education

Centre for Development of Advanced Computing (C-DAC)

PG-DAI — Artificial Intelligence

Aug 2019Feb 2020

Applied AI Course

Artificial Intelligence

Jul 2021Jun 2022

Kolhan University Chaibasa

Bachelor of Technology - B.Tech — Computer Science and Engineering

Jan 2014Jan 2018

M.A.Y College

Higher Secondary School Certificate — Science Stream

Jan 2011Jan 2013

D.A.V. Public School

Secondary School Certificate — Science Stream

Jan 1999Jan 2011

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