Certifications
Advanced MySQL: MySQL Data Analysis & Business Intelligence
Issuing Organization: Udemy Inc.
Validity: April 2021 - Present
I got to learn how to employ MySQL to solve advanced business problems like traffic sources, website performances, channel portfolio management, seasonality, product and user analysis
AWS Certified Developer Associate
Issuing Organization: Amazon Web Services
Validity: November 2020 - November 2023
I got to learn the basics of AWS and how to deploy CI/CD pipelines as well as serverless development on AWS, using tools like Lambda, API Gateway.
Data Structures and Algorithms using Python by IIT Madras
Issuing Organization: NPTEL
Validity: March 2017 - Present
I learnt data structures in Python like lists, tuples, dictionaries, default dictionaries as well learnt how to write OOPs based code in Python.
Deep Learning Specialization by deeplearning.ai
Issuing Organization: Coursera
Validity: March 2018 - Present
I completed 5 courses included in this specialization pertaining to Neural Networks, Convolutional Neural Networks and Sequence Models. Furthermore I also worked on several mini projects such as music generation and object detection.
Machine Learning by Stanford University
Issuing Organization: Coursera
Validity: June 2017 - Present
This was the first course I took to learn concepts of Machine Learning. I learnt various concepts like Loss algorithm, Linear and Logistic Regression, Support Vector Machines, Random Forests. Furthermore, I also learnt the theory of Neural Networks
Natural Language Processing by IIT Kharagpur
Issuing Organization: NPTEL
Validity: April 2017 - Present
I was introduced to NLP with this course. I learnt how to represent english words in computer memory as well as establish relationships between the vectors using algorithms like Word2Vec.
Python 3: Deep Dive (Part 1-Functional)
Issuing Organization: Udemy
Validity: April 2020 - Present
I learnt advanced usage of various Python data types as well as callables such as functions, lambdas and closures. Furthermore, I also learnt the use of decorators for memoization and single dispatch generic functions.
Spark and Python for Big Data with PySpark
Issuing Organization: Udemy
Validity: September 2019 - Present
I learnt how to use PySpark client api to leverage the power of Apache Spark and solve big data problems. I learnt how to use Spark 2.0 DataFrame API as well as use the Spark Mllib library to train machine learning models.
Statistical Learning
Issuing Organization: Stanford University
Validity: June 2018 - Present
This was an introductory level course in supervised machine learning where I learnt polynomial regression, linear discriminant analysis, model selection and regularization methods (ridge and lasso). Furthermore, I also learnt random forests and boosting methods.
Taming Big Data with Apache Spark and Python - Hands On!
Issuing Organization: Udemy
Validity: August 2019 - Present
This course taught me the mechanism behind Big Data. I learnt what is Hadoop and YARN, in addition to Apache Spark
