Abhilash Anand

Abhilash Anand Email and Phone Number

Koto City, Tōkyō-to, JP
Abhilash Anand's Location
Greater Tokyo Area, Japan
Abhilash Anand's Contact Details

Abhilash Anand work email

Abhilash Anand personal email

n/a
About Abhilash Anand

I'm currently pursuing a Master's in Data Science at New York University and bring over three years of hands-on experience in the tech industry. My expertise lies at the intersection of AI and diverse sectors such as finance, healthcare, and infrastructure. Having worked internationally in Japan, India, and the USA, I possess adaptability for cross-cultural and cross-domain collaborations, specializing in Computer Vision, Natural Language Processing (NLP), and Traditional Machine Learning.Skills:Programming: Python (TensorFlow, PyTorch, Pandas, NumPy, Sklearn, PySpark), Hadoop, SQL, R, Javascript, C, C++Machine Learning: Classification (XGBoost, LightGBM), Regression, Clustering, Anomaly Detection, Time Series AnalysisNLP: Large Language Models, Prompt Engineering, Classification, Named Entity Recognition, Semantic search, RetrievalComputer Vision: Visual Similarity, Image Captioning, Image Segmentation, Object Detection

Abhilash Anand's Current Company Details
eLife Inc.(株式会社イーライフ)

Elife Inc.(株式会社イーライフ)

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Data Scientist
Koto City, Tōkyō-to, JP
Website:
elife.co.jp/en
Employees:
16
Abhilash Anand Work Experience Details
  • Elife Inc.(株式会社イーライフ)
    Data Scientist
    Elife Inc.(株式会社イーライフ)
    Koto City, Tōkyō-To, Jp
  • Cbre
    Data Science Intern
    Cbre Jan 2024 - May 2024
    United States
  • Nyu Center For Data Science
    Graduate Student
    Nyu Center For Data Science Sep 2022 - Apr 2024
    New York City Metropolitan Area
  • Nyu Courant Institute Of Mathematical Sciences
    Graduate Teaching Assistant
    Nyu Courant Institute Of Mathematical Sciences Sep 2023 - Feb 2024
    New York, United States
  • Memorial Sloan Kettering Cancer Center
    Graduate Student Researcher
    Memorial Sloan Kettering Cancer Center Sep 2023 - Dec 2023
    New York, United States
    Led a project in cancer research, applying Machine Learning and Large Language Models to automate gene annotation in research articles. Focused on improving the efficiency of updating the OncoKB database, a critical resource in oncology, by addressing the manual and time-intensive aspects of the process. Developed a refined one-for-all model using BioMed-Bert, resulting in notable improvements in predictive performance and computational efficiency. The project aimed to enhance the precision of gene annotation in oncology, ensuring the OncoKB database remains comprehensive and aligned with the evolving landscape of cancer genomics.
  • Cbre
    Data Science Intern
    Cbre Jun 2023 - Aug 2023
    Richardson, Texas, United States
    During my CBRE internship, I tackled two key projects. For "Condition-based Monitoring," I devised a data-driven approach to generate Asset Health Scores for Air Handling Units, optimizing maintenance planning. I also automated equipment matching for alarms by reimagining a string-matching algorithm as an unsupervised machine-learning method, successfully disentangling textual descriptions and equipment data.
  • Japan Infra Waymark
    Lead Data Scientist
    Japan Infra Waymark Aug 2020 - Jul 2022
    Tokyo, Japan
  • 手間いらず(株)
    Web Developer
    手間いらず(株) Sep 2019 - Jul 2020
    Tokyo, Japan
    1) Used Laravel framework, bootstrap material design and MySQL to revamp the company website. The website was implemented in both Japanese and English. Applied SEO optimization techniques to improve the visibility of the website. 2) Worked on improving the functionality of the existing Channel Manager. 3) Implemented the REST API for the company's service of connecting Hotels to Booking sites thus helping in the expansion of it's business.
  • Stylumia Intelligence Technology Private Limited
    Machine Learning Intern
    Stylumia Intelligence Technology Private Limited Jan 2019 - May 2019
    Bengaluru Area, India
    My work mainly revolved around core Computer Vision and NLP. 1) Built an Image captioning Model, obtained a high BLEU score of 0.7. This model was mainly used for attribute extraction. 2) Built a Visual Similarity Model on Fashion Image dataset which made use of custom metric as the existing metrics didn't prove to be enough. 3) Also worked on other tasks such as dimensionality reduction, data cleaning and Image segmentation.
  • Chipmonk Technologies
    Research Intern
    Chipmonk Technologies Apr 2017 - May 2017
    Bengaluru, Karnataka
    1) Assisted the team in successfully troubleshooting the client's request and steering the solution with the help of Machine Learning. The project was based on Video Generation using Generative Adversarial Networks.

Abhilash Anand Education Details

Frequently Asked Questions about Abhilash Anand

What company does Abhilash Anand work for?

Abhilash Anand works for Elife Inc.(株式会社イーライフ)

What is Abhilash Anand's role at the current company?

Abhilash Anand's current role is Data Scientist.

What is Abhilash Anand's email address?

Abhilash Anand's email address is ab****@****e.co.jp

What schools did Abhilash Anand attend?

Abhilash Anand attended New York University, R. V. College Of Engineering, Bangalore, Deeksha Institute - India, Sri Aurobindo Memorial School - India.

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