Kartik Shastrakar

Data Analyst



(per hour)

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I am a Data Scientist/ Data Analyst. Skilled in Python, SQL, AWS, Azure, JCB.

Summary -

  • Good understanding of Statistics, Machine learning and deep learning concepts.
  • Hands on experience in python frameworks like scikit-learn, SciPy, NumPy.
  • Boosting techniques like XGBOOST, AdaBoost.
  • Good understanding on ML libraries like Tensor flow, Keras , Scikit-learn, SciPy.
  • Data analysis.
  • Computer Vision and Natural Language Processing.
  • Classification of images using AI convolutional neural network model like CNN.
  • Testing and Debugging.
  • Crontabs for running python scripts.
  • Chatbots 11. Ngrok , Rasa and NLU.

Skills: -

• Machine learning 

• Statistical analysis 

• Python - NumPy, Pandas, Tensorflow, Scipy, Sklearn, Matplotlib, Keras, Pytorch. 

• SQL 

• Docker 

• Natural Language Processing- Rasa (NLU)

• Deep learning- CNN, RNN, LSTM, BERT, GPT, GAN. 

• Transfer Learning- RestNet, Detectron, YoloV5.

• AWS/Microsoft Azure/GCP

• PySpark

• GitHub and Bitbucket


Data Scientist

  • Freelancing
  • January 1, 2021 - continue

Created and implemented new forecasting models to increase company productivity. Extracted and assessed data from databases to drive improvement of product development and business strategies and processes. Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling. Leveraged mathematical techniques to develop engineering and scientific solutions.

Data Scientist

  • IT Company
  • June 1, 2022 - August 1, 2022

Developing Docker-based Python applications (using PySpark, Pandas, NumPy, and other Python libraries). Developing DAGs for Apache Airflow (for ETL pipelines). Writing modular and scalable code using Python programming language. Testing and debugging applications Deploying Python Applications on AWS Cloud (AWS EC2, AWS EMR, AWS RDS Postures).

Educational Details

B. Tech in Mechanical Engineering

  • Sandip University Mahirwani, Nashik
  • March 1, 2016 - March 1, 2020

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