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I'm Utkarsh Singh, an accomplished data scientist and programmer with a B.Tech in Electronics. Proficient in Python, C++, and databases like SQL, PostgreSQL, and MongoDB. Experienced in ML libraries and tools like TensorFlow, Hugging Face, and spaCy. With a rich 7-year journey in the Crypto-Verse, I explore Smart Contracts and market trends. Notable projects include E-commerce Price Optimization, Resume Parser, and Sentiment Analysis using BERT. I'm eager to leverage my skills for impactful data science and machine learning opportunities.



  • Graduated with Grade A in Electronics from Bharati Vidyapeeth University, Pune.
  • Impressive track record on Kaggle competitions, also received a Silver Medal in the Breast Cancer Classification using Neural Network Notebook.
  • Skilled in essential libraries and frameworks such as NumPy, Pandas, Matplotlib, Scikit-Learn, Tensorflow, Hugging Face, NetworkX, and spaCy.
  • Mastered database management with expertise in SQL, PostgreSQL, and MongoDB, ensuring efficient handling of large datasets.
  • Experienced in tackling a diverse array of over 50+ datasets on Kaggle, encompassing a wide spectrum of problem domains, including CNNs, SVMs, Random Forests, Logistic Regression, Neural Networks, and advanced NLP techniques.
  • 3X Kaggler Expert with Top #100 Global Rank

my skills download cv

Work Experience

    Avatar
  • Data Science Intern

    Code Clause

    April'23 to May'23

    • Built a Price recommendation system using LightGBM for E-commerce sellers.
    • Conducted market basket analysis using the Apriori Algorithm.
    • Worked on Telecom industry churn prediction model.
    • Developed a Resume Parser using Spacy in NLP.
    •          Link           Youtube


    • Avatar
    • Data Scientist                                                Jan'23 to Jul'23

      Freelancer


      • As a Data Scientist, I undertook a freelance project to develop a bankruptcy prediction model for a client in the Swansea University, UK. The primary objective was to create a predictive model that could identify companies at risk of bankruptcy based on their financial indicators. This project aimed to contribute to the field of financial analysis and provide insights into predicting business failures.
      •           
        Youtube





  • Kaggler                                                Jan'23 to Jul'23

    Kaggle


    • In the world's top 50 dataset experts. Currently ranked 38th
    • Frequently ranked in Kaggle's top 30% through active participation in multiple competitions.
    • Worked with a diverse range of advanced machine learning models, encompassing Convolutional Neural Networks (CNNs), Support Vector Machines (SVMs), Random Forests (RF), Logistic Regression (LR), Neural Networks, and Natural Language Processing (NLP).
    • techniques.           
      Youtube




My Education

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Bharati Vidyapeeth Deemed University College of Engineering, Pune

Bachelor of Technology
Engineering

Electronics
2018 - 2022
CGPA - 8.0/10.0

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National Institute of Open Schooling

Junior College (11 & 12 Grade)
Phy, Chem, Maths & Computers
2016 - 2018
GPA - 7.2/10.0

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Central Board of Secondary Education

Primary and Secondary School (10th Grade)
Science, Mathematics and Computer Science
2014- 2015
CGPA - 7.0/10.0

My Skills

Deep Learning
85%
Machine Learning
90%
Data Science
90%
Statistics
85%
Pattern Recognition
90%
DBMS & SQL
90%
Version Control
(Git, GitHub, GitLab),
Bash, Unix, Linux


95%
Neural Networks & Transfer Learning
(ANN, CNN, RNN, LSTM, GRU, GANs, Encoder Decoder)
80%

Data Structures, OOPs & ALgorithm

70%


Python
95%
TensorFlow, Keras, Pytorch
80%
Computer Vision
75%
Pandas
90%
Numpy
95%
Matplotlib
90%
PIL, Open CV, Scikit-Image
75%
Selenium
70%
Microsoft Azure AI
85%
MS Office ( MS Excel, MS Word,
MS PowerPoint, MS Outlook )
95%
Exploratory Data Analysis & Business Analytics
90%
Image Recognition, Object Detection Algorithms
80%


Data Cleaning & Data Visualization
90%
Jupyter Notebook, Google Colab, Amazon Sagemaker
80%
Full-Stack Web Development (HTML, CSS, Js)
75%
Flask
70%
Seaborn
80%
Scikit-learn (SkLearn)
85%
Explainable AI, SHAP
70%
Natural Language Processing (NLP)
80%

My Projects

18424

Hours Worked

2989

Cups of Coffee

3

Papers Published and Blogs

65

Projects Finished



My Certifications

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Microsoft Certified: Azure AI Fundamentals

Issued by: Microsoft

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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Issued by: DeepLearning.AI

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Neural Networks and Deep Learning

Issued by: DeepLearning.AI

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Databases and SQL for Data Science with Python (with Honors)

Issued by: IBM

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Applied Data Science with Python Specialization (6 Months)

Issued by: University of Michigan | Coursera

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Data Structures

Issued by: University of California San Diego | Coursera

Paper Publications & Blogs




Contact Me

Address / Street

Lucknow, India

Contact Number

+91-7355616166

Connect Me

https://www.linkedin.com/in/utkarshx27/