04/29/2025 updated
partially available
info: Available evenings and weekends
Data Scientist with expertise in Machine Learning and Computer Vision
Delhi, India
Only remote
Bachelor of Technology in Computer Science with Applied MathematicsJava (Programming Language)Application Programming Interfaces (APIs)AlgorithmsData AnalysisArtificial Neural NetworksComputer VisionComputer ProgrammingDatabasesData StructuresData VisualizationPython (Programming Language)Machine LearningMySQLNatural Language ProcessingNumPy
Machine Learning and Deep Learning
Expertise in machine learning, deep learning, and computer vision. Application of advanced techniques like sequential ensembling (Xgboost + DeepFM) and Wide and Deep Neural Networks for model creation and optimization.
Programming and Data Analysis
Proficiency in Python and Java programming languages. Utilization of libraries and frameworks such as PyTorch, TensorFlow, Scikit-learn, OpenCV, NumPy, Pandas, and Matplotlib for data analysis and model development.
Data Science Tools and Databases
Familiarity with data science tools including Git, MySQL, Oracle, and Docker. Knowledge of data structures, algorithms, operating systems, and database management systems (DBMS).
Natural Language Processing (NLP)
Understanding and application of NLP techniques in data science projects.
Statistical Inference
Application of statistical inference methods in data analysis and model evaluation.
Data Visualization
Creation of insightful data visualizations using tools like Matplotlib and Seaborn.
API Development
Experience in creating and deploying APIs using Docker and Flask.
Expertise in machine learning, deep learning, and computer vision. Application of advanced techniques like sequential ensembling (Xgboost + DeepFM) and Wide and Deep Neural Networks for model creation and optimization.
Programming and Data Analysis
Proficiency in Python and Java programming languages. Utilization of libraries and frameworks such as PyTorch, TensorFlow, Scikit-learn, OpenCV, NumPy, Pandas, and Matplotlib for data analysis and model development.
Data Science Tools and Databases
Familiarity with data science tools including Git, MySQL, Oracle, and Docker. Knowledge of data structures, algorithms, operating systems, and database management systems (DBMS).
Natural Language Processing (NLP)
Understanding and application of NLP techniques in data science projects.
Statistical Inference
Application of statistical inference methods in data analysis and model evaluation.
Data Visualization
Creation of insightful data visualizations using tools like Matplotlib and Seaborn.
API Development
Experience in creating and deploying APIs using Docker and Flask.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishGoodHindiNative speaker
Project history
Developing Trend Propensity Model to predict SEO effectiveness of trend keywords and Revenue per Visit (RPV) Model for predicting RPV of Keywords/Queries in Buckets for Bidding in SEA. Utilizing various data science tools and techniques including Pandas, NumPy, PyTorch, Scikit-learn, and applying advanced methods like Wide and Deep Neural Networks.
Designed and implemented a deep learning pipeline for road condition assessment under the PMGSY (Pradhan Mantri Gram Sadak Yojana) program. Used PyTorch, LabelMe, OpenCV, and Python to create a ResNet-based classifier and LSTM-CNN model for road image classification and temporal classification on video segments.