Ashritha Shivakumaraswamy

Software Engineer

New York City6 yrs 6 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in data analysis and machine learning.
  • Published papers in machine learning.
  • Passionate about data-driven innovation.
Stackforce AI infers this person is a Data Science and Machine Learning professional with a focus on impactful analytics solutions.

Contact

Skills

Other Skills

AIAgile MethodologiesAgile Project ManagementArtificial Intelligence for DesignBusiness StrategyCascading Style Sheets (CSS)Computer VisionCritical ThinkingData ScienceData VisualizationDjangoExperimental AnalysisExploratory Data AnalysisHTMLHypothesis Testing

About

Portfolio : https://ashritha6601.github.io/Portfolio/. I am a data-driven professional, specializing in data analysis, data science and machine learning. I have master's degree in Applied Analytics with Machine Learning from Columbia University. My expertise lies in extracting valuable insights from data to develop innovative solutions. Throughout my journey, I have successfully worked on diverse software development projects, published papers in the field of machine learning, and engineered algorithms from the ground up, transforming ideas into practical applications. As a data enthusiast, I am deeply passionate about the dynamic fields of data science and machine learning. My goal is to leverage my skills to contribute to impactful projects that push the boundaries of these disciplines, making a meaningful difference in the world. I am eager to connect with like-minded professionals and explore potential collaborations in this ever-evolving world of data-driven innovation. Programming: Python, R, SQL, C,C++,Perl Libraries: Python - TensorFlow, Scikit-Learn, Pandas, NumPy, Matplotlib, NLTK, PyTorch, Keras: R - Dplyr, Ggplot2, Plotly Database & Tools: MySQL, PostgreSQL, MongoDB, Apache Spark, Tableau, Git, AWS, Jupyter Notebook Statistics: Hypothesis Experiment Design, A/B Testing, Sampling, Probability. Machine Learning: Linear Regression, Logistic Regression, Classification, PCA, Decision Tree, XGBoost, Feature Selection, Decision Tree, Random Forest, Boosting, K-Means Clustering,Supervised Learning, Unsupervised Learning, Natural Language Processing (NLP), Deep Learning, Anomaly Detection

Experience

6 yrs 6 mos
Total Experience
1 yr 7 mos
Average Tenure
2 yrs 8 mos
Current Experience

Bristol myers squibb

Software Engineer

Sep 2023Present · 2 yrs 8 mos · United States · Hybrid

Ab inbev

Data Scientist

Jun 2022Dec 2022 · 6 mos · New York City Metropolitan Area · Remote

Columbia university

Masters Student

Jan 2022May 2023 · 1 yr 4 mos · New York City Metropolitan Area · On-site

Microchip technology inc.

Engineer II - Software & Machine Learning Engineer

Jun 2019Jul 2021 · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Invenger technologies

Data Analyst

Feb 2018Jul 2018 · 5 mos · Mangaluru, Karnataka, India · Hybrid

Education

Columbia University

Master of Science - MS — Applied Analytics

Jan 2022May 2023

RV College Of Engineering

Master of Technology - MTech — Computer Software Engineering

Jan 2018Jan 2020

Jawaharlal Nehru National College of Engineering

Bachelor of Engineering — Computer Science

Jan 2014Jan 2018

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