I have been working on Dot Net Technology and Web Development Domain for my previous organization and have
successfully delivered multiple solutions to global clients. Worked on Insurity Product and provided analysis, design, development,
testing and maintenance of software products on projects related to Insurance.
Worked on MS SQL, HTML, CSS, Javascript,Web APIs, Angular, DOT NET framework have extensively coded in Visual Studio.
Passionate about Data and Proficient in leveraging & visualizing raw data using Tableau and R.
A detail oriented and highly organized team player with proactive accountability and collaborative skills.
Description:
● This python based project detects sarcasm in tweets using NLP techniques and analyzing emoticons.
● The final sarcasm scores are obtained by aggregating the text score and the emoticon score.
Tech stack: Python, NLTK, TextBlob, Matplotlib, Sklearn, numpy
Description:
● Project based on medical competitor analysis. Data from the medical reps is categorized and visualized using Amazon Quicksight.
● Machine Learning (Amazon Sage maker) is used to categorize the medical insights and attachments.
Tech stack: Machine Learning, Python, Amazon Quicksight
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Description:
● Developed a touch – free sensor based smart toilet to eradicate several health issues and provide various techniques that can be
used for maintaining the sanitation and to increase the usage of the public toilets using Internet of Things (IoT).
● Authored and published a paper on the same in International Journal Advance Research in Engineering Technology and Sciences
(IJARETS) on July-2020 Volume-VII, Issue-VII, ISSN: 2349-2819.
Tech stack: Bluetooth, Raspberry Pi,Arduino IDE,Sensors, Micro Controllers
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Description:
● Developed a Python Application to create a GUI using tkinter for Polls Management System.
● Polls Management System was implemented for college level Voting. Tkinter allows us to create python applications and provides fastest
outputs thus increasing the overall application efficiency.
Tech stack:Technologies: Python, SQL, Tkinter.
Description:
● Performed data mining, data cleaning & explored data visualization techniques on a variety of data stored in .csv files using R and plotting the same using ggplot2 function to help various agricultural scientists and researchers to understand various factors relating to the growth of crops.
● Developed predictive models using R (KNN, CART) to evaluate Model performance and accuracy to get a better insight of the agricultural situation that may arise anytime.
Tech stack: R Studio