Highlights:

Skills:Python, R, SQL, C#, Agile Methodologies, Datadog, Terraform, Amazon S3, Google Data Analytics, neural networks

Data Science Intern 08/2022 - 12/2022
NuVista Strategies, , United States
Data Science Intern, NuVista Strategies(start-up), Los Altos, CA: August 2022 – December 2022 (Python, R)
•Boosted 90% interpretability of the company website and devised visualization tables by incorporating cluster analysis of the customer data, by congregating customers based on product, consumer, and need segmentation analysis. •Automated a large dataset, by data wrangling, data pre-processing, cleaning, and recognizing underlying relationships in the dataset, implemented neural network methodologies by visualizing with 3D axes graphs, line graphs, and box plots. •Created computational documents of the visualized product, consumer, and needs segmentation; by utilizing Jupyter notebook with Python and adding cluster/gap statistical analysis to offer accurate results that enhanced data readability by 95%, worked on adding the visualizations to RShiny website to outsource an interactive platform. •Conducted cluster analysis to expand the brand acceleration of products within the dataset helped increase customer activity by 20% on the products page of the website and helped attain sales targets for the clients.--
Software Engineer 12/2019 - 06/2021
Mindtree, , United States
Software Engineer, Mindtree, Bangalore, India: December 2019 - July 2021(Python, Machine Learning, Image Processing)
•Reduced efforts by 70% and saved 75 hours per week by involving Python and automating daily key metrics reporting interactive dashboards for the data provided in the website and application. •Leveraged sentiment analysis for derived customer feedback of app data by implementing Recurrent Neural Networks with an LSTM model resulting in achieving an accuracy of 91% with the use of visualizations, helped to gather an understanding of the customer market, resulted in improvement and interaction of the app by 65%. •Increased retention rate and revenue by 4% and 1.1% respectively by including customer segmentation analysis and RFM Analysis for identifying target customers during Marketing Campaigns (Retention/Engagement). •Conducted image processing of crop data for farmers in India to help them understand the crops’ market value.--

Christ University 05/2016 - 08/2020
, , India
Degree: Bachelor's Degree
Major:Computer Science and Engineering
•Relevant Coursework: OOAD using C++, Artificial Intelligence, Operating Systems, Data Structures, DBMS

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