Innovative Machine Learning Engineer and Natural Language Processing skilled with around 2 years of experience in machine learning model design, development, testing, and deployment. Good experienced in delivering end-to…
Innovative Machine Learning Engineer and Natural Language Processing skilled with around 2 years of experience in machine learning model design, development, testing, and deployment. Good experienced in delivering end-to-end machine learning and data science projects with the right choice of technologies, and algorithms to solve real-world use cases in the retail industry.
• Performed large-scale data analysis and developed effective statistical models through
various regression and classification algorithms-Linear Regression, Logistic Regression,
Decision tree, Random Forest.
• Research and implement appropriate ML algorithms and tools, select appropriate datasets
and perform statistical analysis.
• Strong coding ability both in producing clean and efficient code and understanding large code
bases.
• Extensive hands-on experience and high proficiency with structured, semi-structured, and
unstructured data, using broad range of data science programming languages like Python,
SQL.
• Skilled in using pandas, Numpy, Seaborn, Matplotlib, Scikit-Learn, and NLTK in Python for
developing various machine-learning algorithms.
<p>Performed large-scale data analysis and developed effective statistical models through various regression and classification algorithms-Linear Regression, Logistic Regression, Decision tree, Random Forest.<br>
Research and implement appropriate ML algorithms and tools, select appropriate datasets and perform statistical analysis.<br>
Strong coding ability both in producing clean and efficient code and understanding large code bases.<br>
Extensive hands-on experience and high proficiency with structured, semi-structured, and unstructured data, using broad range of data science programming languages like Python, SQL.<br>
Skilled in using pandas, Numpy, Seaborn, Matplotlib, Scikit-Learn, and NLTK in Python for developing various machine-learning algorithms.</p>
<p>Data to extract insights and make data-driven decisions.<br>
Gain experience in model development and evaluation.<br>
Present findings and insights to non-technical stakeholders within the organization.</p>
<p>Experience on data analysis and visualization to machine learning model development and evaluation.<br>
Collect, clean, preprocess, and analyze data includes working with datasets, performing data wrangling, and conducting exploratory data analysis (EDA).<br>
Write code to manipulate data, create visualizations<br>
Effectively communicate and insights, both in written reports and through presentations.</p>
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