Giriseelan Jayaprakash

Giriseelan Jayaprakash

Data Scientist
India

About Me

Worked as Mechanical Engineer industry experience.Transitioned into IT as a Data Scientist,gaining 1 year of hands-on experience in data analysis,machine learning,and predictive modeling.Proficient in Python,leveraging d…

Experience

Data Scientist

PROITBRIDGE, Bengaluru
Aug 2023 - Present · 2 years 11 months

Having Six months of experience as Data Scientist with expertise in Python-based data analysis and machine learning projects.
Proficient in implementing supervised and unsupervised algorithms,model evaluation and hyperparameter tuning.
Skilled in working with structured data and feature engineering for data-driven solutions,actively contributing to diverse projects.

Project Team Leader

Velson Industries, Thiruchengode
Nov 2017 - Apr 2023 · 5 years 5 months

Experienced Project Lead with a successful background in managing water well manufacturing projects.
Proficient in overseeing end-to-end project lifecycles,from design and production to delivery and installation.
Skilled in coordinating cross functional teams,optimizing manufacturing processes and ensuring adherence to safety and quality standards
Strong leadership,communication and problem-solving abilities.
Led cross-functional project teams to successfully deliver high-impact initiatives on time and within budget.

Machine Operator

Synergy Automatics, Chennai
Apr 2017 - Nov 2017 · 7 months

Experienced and motivated Product Supervisor skilled in managing mechanical production processes.
Ensures top-notch product quality,compliance with safety standards and timely delivery.
Proficient in coordinating with cross-functional teams.
Committed to continuous improvement for enhanced efficiency and customer satisfaction.

Skills

Data Mining Python Data Science Machine Learning Algorithms Deep Learning Natural Language Processing Statistics Hypothesis Testing Machine Learning Supervised Machine Learning Unsupervised Machine Learning Reinforcement Machine Learning Linear Regression Logistic Regression Parametric Model Non-Parametric Model Ensemble Techniques Pandas Matplotlib Pyplot Seaborn Scikit-learn NumPy SciPy AdaBoost Gradient Boosting XGBoost LightGBM Association Rule Recommendation Engine Clustering Techniques Dimensionality Reduction Artificial Neural Network CNN Activation Functions OpenCV Keras TensorFlow PyTorch NLTK Computer Vision Transfer Learning BERT NER Simple RNN LSTM GRU Time Series Modelling Resampling Interpolation Model Driven Techniques Data Driven Techniques Jupyter Notebook
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