Mar 2021 – Oct 2021 · 7 mos · Noida, Uttar Pradesh, India

• Responsible for developing and managing customer relationship using Salesforce technology.
• Providing and Developing software solutions as per the clients requirements using Salesforce Cloud and AI, thus enabling effective services at the same time.
• Used Lightning web Components and Integration of Salesforce with API's
• Enabling deployment using CICD pipeline.
• Designing and building high-performance, reusable, and reliable Apex code with best practices, ensuring the best possible quality of the application.
• Writing test classes for the class developed and ensuring more than 80% code coverage.
• Identifying bugs and align with requirements during debugging, testing bug fixes to make sure they work as per requirements, then deploy them to production environment.

Nov 2020 – Nov 2020 · 0 mo · India

• Performed EDA on the IPL Dataset (2008-2019) and derived various interesting insights , visualized it using different methods that further contributed in making effective business decisions.

Sep 2020 – Oct 2020 · 1 mo · India

Aug 2020 – Sep 2020 · 1 mo · Australia

• Prepared customer data for analysis by modifying incomplete and irrelevant data using different data cleaning techniques.
• Used different statistical and visualization techniques to describe main characteristics of the dataset.
• Implemented K-means clustering algorithm to categorize data based on customer characteristics and features.
• Developed an interactive dashboard focusing on identifying potential customers based on transaction details of customers.

Jun 2019 – Jul 2019 · 1 mo · Varanasi Area, India

• Research project being carried in the area of Information Retrieval and Data Science using Python Programming language which includes -
• Performed various Query Expansion Techniques such as OKAPI BM25, Kullback Leibler ,Bose Einstein 1 (Bo1), Bose Einstein 2 (Bo2) on the given dataset.
• Worked on retrieval effectiveness of query expansion in order to retrieve documents with great accuracy.
• Worked on various Hypothesis Data Science Testing models to get the insights from the data and finding which one best suits according to the problem.
• Validated incoming data to check information accuracy and integrity while independently locating and correcting concerns.
• Assessed data using scientific methods while following all important specifications.

Jun 2018 – Jul 2018 · 1 mo · Varanasi Area, India

• Research being carried specifically in the area of Machine Learning which includes -
• Study and creation of a Brain Computer Interface Dataset and performing time and frequency domain feature Extraction.
• Worked on basics of Python Programming language and Python libraries like numpy,pandas,matplotib,openCV.
• Study Machine Learning & worked On the BCI Dataset of signals and performed Dimension Reduction Techniques such as PCA,LDA & SVD,also predicting their Regression scores and evaluate their comparisons.
• Further carried out the research in various Data Preprocessing methodologies to obtain the optimal results of the BCI system.
• Researched various subjects that were related to project and Performed Sentiment Analysis ,Character and Face Recognition using Machine Learning Algorithms.