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Nikhil Naganur

@nikhilnaganur

Data Scientist at CloudBloom Systems

Bangalore

CloudBloom SystemsKLE Society's Lingaraj College, Belgaum

Experienced Data Scientist with over 2 years of industry expertise in statistical modeling, computer vision, and neural networks. Proficient in statistical analysis, data analytics, and feature engineering, Nikhil has a demonstrated background in utilizing Machine Learning, Deep Learning, and NLP techniques for model building and data-driven insights. He is skilled in end-to-end model development and committed to solving complex business problems through collaborative teamwork.

Experience

Data Scientist

CloudBloom Systems

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Gained extensive hands-on experience with object detection, object segmentation, and computer vision techniques using YOLO models and SAM. Handled data cleaning, preprocessing, and statistical modeling including regression and predictive modeling. Utilized dimensionality reduction (PCA, t-SNE) and clustering methods to improve image embedding representation. Specialized in text data analysis applying NLP techniques such as sentiment analysis and named entity recognition.

Data Scientist

AI Variant

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Identified valuable data sources and automated data collection processes. Constructed predictive models using Machine Learning and Deep Learning algorithms. Leveraged Ensemble Learning and performed Hyperparameter tuning to enhance model performance. Worked on time series forecasting using ARIMA and SARMAX models.

Education

KLE Society's Lingaraj College, Belgaum

Master of Commerce

Commerce

Sep 2020

KLE Society's Lingaraj College, Belgaum

Bachelor of Commerce

Commerce

Nov 2017

Licenses & Certifications

Data Science Certification

ExcelR

Text Analytics Certification

IBM

Skills

Python
Statistics
Hypothesis testing
Machine Learning (ML)
Deep Learning (DL)
Natural Language Processing (NLP)
Data Analysis
Supervised and Unsupervised Learning
Regression and Classification
Support Vector Machine (SVM)
Clustering Techniques
K Means
DBSCAN
Recommendation System
Dimensionality Reduction
PCA
Umap
t-Sne
Data Mining
Word Embeddings
BOW
BERT
Word2Vec
Convolutional Neural Network (CNNs)
RNN
LSTM
GRU
Pretrained Models
VGG
DenseNet
ResNet
Computer Vision
Time Series Forecasting
Data extraction
AWS
lambda
S3
Transformers
Tableau
SQL
Hadoop
Apache Spark
Linux
Git
Pandas
NumPy
Scikit-Learn
Keras
TensorFlow
PyTorch
OpenCV
YOLO