

Data Manupulation Tools : Python ( SciKit-Learn, SciPy, Matplotlib, Pandas, numpySQL, Pyspark etc ), SQL, ETL Tools ( Alteryx, Knime, Talend )
Machine Learning : NLP, Linear and Logistic Regression, SVM, Random Forest, Bagging and Boosting, Anomoly detection, Statistical Modelling, Pytorch, Tensor flow, LLM, Generative AI, Clustering Algorithms ( K-means clustering, hierarchical clustering, and DBSCAN ), CART, Dimensionality Reduction Techniques, Time Series Analysis ( ARIMA ) , Model deployment ( Flask ) , Model Evaluation and Selection
Visualisation Tools : Power BI, Looker, Google Analytics (GA4), Tableau
Cloud : Azure ( ADF, ML Studio, Data Bricks)
Microsoft Tools : Excel, Power Automate, Power Apps
Leadership, Mentoring, Budgetting
Data Management : Data Warehousing, Data Cleaning, Data Modelling and Data Integration
Data Base : Teradata,Hadoop,DB2,MS SQL Server, Postgres, Oracle
Statistical Analysis : Hypothesis Testing ( t-tests, chi-square tests, and ANOVA ), A/B Testing, Statistical Modelling
Project Management