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A digital analyst with a background in Electronics and communication (B.Tech Engineering) and Data Science (Program Partner by KPMG in India & Analytics Vidhya), seeking suitable opportunities to leverage my analytical skills and deepen my knowledge in the field of data analytics and visualization.
I want to leverage my capability in analytics in order to build creative and tangible solutions for business organizations.
I enjoy working on analytics case studies related to retail and e-commerce domains. Outside of school and work, I am a person who enjoys discussions on Politics, Philosophy and Psychology.
Excel ,
Python {Pandas, Numpy, Matplotlab, Scipy, Scikit-Learn, Statsmodels, Seaborn, Surprise }
SQL
Tableau
Matplottlib
Linear Regression
Logistic Regression
Decision Tree
Clustering - K means, Agglomerative- Hierarchical clustering, DBSCAN
Principal Component Analysis (PCA),
KernelPCA (dense feature matrix)
Factor Analysis,
Linear Discriminant Analysis (LDA) (supervised )
Singular Value Decomposition (SVD)
SVM,
Naive Bayes (Classifier)
k-NN Model
Text -Unstructured Data- NLP, Regex, LSTM Network ( language recognition), word2vec
Recommendation Systems- Surprise library
Ensemble Methods
boosting algorithm- GBM, XGBoost, Adaboost, LightGBM, CatBoost
Time series Forecasting
Keras - API
LSTM Network
Computer Vision | Image Processing
NoSQL - MongoDB, Amazon DynamoDB
Github
Pipeline Building
Apache Spark - PySpark , Apache-Spark-SQL
AWS Ecosystem