1. Advanced level of understanding of MS Excel 2007,2013 applications like Conditional formatting,
Data Validation, What if Analysis, Solver, Goal Seek, Simulations and complex formulas like Lookups, index match, financial formulas and modelling, Time Series Analysis, Power Query, Macros and basic VBA.

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2. Working knowledge of MS Power Bi Desktop including Power Query Editor, reports and interactive dashboards creation, charts and graphs, complex DAX measures, mobile layout and others. 

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3. Basic knowledge of Tableau using Tableau Public like connecting databases, charts and graphs, dashboards, LOD, data blending, joining and others.

1. Knowledge of working with NoSQL databases like MongoDB using MongoDB Compass and MongoDB Atlas.

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2. Working knowledge of SQL databases like MySQL (MySQL Workbench 8.0.26), PostgreSQL (PgAdmin 4) and MS SQL Server (MSSM 18.9.2). Familiar with basic SQL queries like Create, Read, Update and Delete and advanced complex queries like Joins, subqueries, VIEWS and many more.

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3. Knowledge of cloud server relational database like IBMDB2, AWS RDS.

1. Knowledge of Object Oriented Programming Language like Python version 3.6,3.7 and 3.8. Familiar with Python libraries like Numpy, Pandas, Matplotlib, Seaborn, Plotly, Pymongo, Pyspark, Mysql-python connector, etc.

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2. Knowledge of Python web frameworks like Django, Flask, Flasgger, FastAPI, Streamlit, Gradio, PywebIO. 

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3. Knowledge of Competitive Programming using  Data Structures and Algorithms with Python.

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4. Basic knowledge of Data Wrangling, Analysis and Visualization using R and Julia.

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5. Basic knowledge of front end languages like HTML, CSS and Bootstrap.

1. Skilled in Machine Learning libraries like Scikit-learn and familiar with both supervised and unsupervised algorithms.

2. Knowledge of Deep Learning neural networks like ANN, CNN, RNN, LSTMS, Bidirectional LSTMS with Tensorflow, Keras and Pytorch.

3. Knowledge of NLP algorithms like NLTK, Gensim and advanced architectures like Encoders and
Decoders, Attention models, transformers and Berts.

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4. Basic knowledge of Computer Vision techniques using Haar Cascade Classifiers, MTCNN and TFOD.