I'm
Know About Me
Python
95%
SQL / NoSQL
95%
Data Science
90%
Machine Learning
90%
ML Ops
80%
HTML / CSS
85%
AWS
80%
In my current role as a Python Test Automation Developer, I thrive on exploring data and domain before translating it into actionable item. I have spent around 11+ years in the BFSI domain exploring mutiple businesses and veriticals within. I have pursued certification courses on Data Science, Machine Learning and simulatenously working on developing End-to-End Machine learning internship projects. My goal is to step-in into the Machine Learning ecosystem of Data Science as an ML Engineer.
My Journey
I am a mathematics-loving individual with a strong academic background and a passion for data-driven problem-solving. As an engineering graduate from RTU, Rajasthan, specializing in Computer Science, I have consistently demonstrated my dedication to academic excellence and achieved an Honours in my Engineering Degree.
I started my career with BNY Mellon as a QA Engineer. Eventually I kept on upskilling myself, which helped me to get into the field of Test Automation & SQL during my stay at FIS (SunGard) where I realized the power of leveraging data to streamline processes and enhance efficiency.
I constantly kept on exploring Python programming language, its niche and beyond. I had amazing experience in terms of corporate exposure, office environment, team learning and what not. In my current organisation Trading Technologies , I got an exposure to look after the automation of an entire Frontend Trading Platform as well as managing the complex Test Framework. While working on historical stock price data, I discovered my fascination for Data Analysis. This marked my initial exposure to Data Science and Power BI, where I realized the power of leveraging data to streamline processes and enhance efficiency.
In my role as a Python Test Automation Developer, I thrive on exploring data and domain before translating it into actionable item. I have spent around 10+ years in the BFSI domain exploring mutiple businesses and veriticals within. I have pursued courses on Data Science, Machine Learning, Deep Learning and simulatenously working on developing End-to-End Machine learning internship projects. My goal is to step-in into the Machine Learning ecosystem of Data Science as an ML Engineer
Through continuous learning, I have honed my skills in Application Programming using Python, Data Science, Machine Learning, End to End Project Development using Python, Database , HTML, CSS, AWS Cloud Deployments, SQL, and Agile methodologies such as Scrum.
I am currently seeking an exciting role in Data Science/Machine Learning, where I can further enhance my skills and make a positive impact on organizations and end-users alike. I am driven by the opportunity to leverage my expertise in Python, Data Science, Machine Learning, and Team Lead to contribute to the growth and success of an organization.
My Resume
From Blog
Python Basics, Python Data types, Control Flows, Lambda & Recursion Function, Iterators, Generators, Exception Handling, Logging With Python, OOPs Concepts in details, Decorators, Constructors & Destructors, Duck Typing, MultiThreading.
An iterable object in Python is an object that can be looped over for extracting its items one by one applying a certain operation on each item and returning the results. Further details explaination on Ordered vs. Unordered & Mutable vs. Immutable, Hashable vs. Unhashable.
Flask is a micro web development framework written in Python. It is classified as a micro framework because it does not require particular tools or libraries. It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions.
Memoization is an optimization technique that makes a program/application more efficient and hence faster. It does this by storing computation results in cache, and retrieving the same information from the cache the next time it’s needed instead of computing it again.