About me
I am a Data Science Practitioner with a curiosity for Patterns Analysis and compassion to solve Business & Real World problems alike with the application of Statistical and Mathematical Modeling Techniques.
I possess over 8 years of industrial experience in IT software assuming various roles.
Currently applying Data Analytics, Machine Learning, Deep Learning Techniques in its entire pipeline, and working on personal projects based on Predictive Analysis, Computer vision, object Detection, sentimental Analysis & NLP, to progress my career in the Data Science domain.
Coming from a Project Management background, gives me an immense understanding of the client's expectations, meeting deadlines, and effective communication.
I'm a quick learner and have a good track record of working in difficult situations requiring an exponential amount of hard work.
I'm passionate about everything that I pursue and work with a result-driven approach to cater to the expectations.
My Areas of Expertise are:
Programming: R, Python - NumPy, SciPy, Pandas. Scikit Learn, Beautiful Soup, OpenCV
Database: SQL querying, Cassandra NoSQL.
Probability & Statistics: Central Tendencies, Probability Distributions, Hypothesis Testing
Data Visualization: Power BI, Tableau, Python’s Matplotlib, Seaborn.
ML: Regression/ Classification, Clustering, Decision Trees, K-NN, SVM, ensemble learning (bagging and boosting)algorithms
Deep Learning: Neural Networks (ANN, CNN, RNN basics), NLP, Text Classification
Cloud, Big Data: AWS, Hadoop, Spark
Project Management: Agile, Waterfall
I highly recommend to view my projects section where-in I have tried to highlight few of my work delivered in recent past.
I possess over 8 years of industrial experience in IT software assuming various roles.
Currently applying Data Analytics, Machine Learning, Deep Learning Techniques in its entire pipeline, and working on personal projects based on Predictive Analysis, Computer vision, object Detection, sentimental Analysis & NLP, to progress my career in the Data Science domain.
Coming from a Project Management background, gives me an immense understanding of the client's expectations, meeting deadlines, and effective communication.
I'm a quick learner and have a good track record of working in difficult situations requiring an exponential amount of hard work.
I'm passionate about everything that I pursue and work with a result-driven approach to cater to the expectations.
My Areas of Expertise are:
Programming: R, Python - NumPy, SciPy, Pandas. Scikit Learn, Beautiful Soup, OpenCV
Database: SQL querying, Cassandra NoSQL.
Probability & Statistics: Central Tendencies, Probability Distributions, Hypothesis Testing
Data Visualization: Power BI, Tableau, Python’s Matplotlib, Seaborn.
ML: Regression/ Classification, Clustering, Decision Trees, K-NN, SVM, ensemble learning (bagging and boosting)algorithms
Deep Learning: Neural Networks (ANN, CNN, RNN basics), NLP, Text Classification
Cloud, Big Data: AWS, Hadoop, Spark
Project Management: Agile, Waterfall
I highly recommend to view my projects section where-in I have tried to highlight few of my work delivered in recent past.
