Aditi Vijay Nishankar

Project: Time Series Forecasting for Recovery Data
Developed a forecasting system for telecom and broadband devices with 92% accuracy. Used algorithms like ARIMA, SARIMA, FB PROPHET.Implemented trend line charts for key metrics visualization.
Project: Data Anomaly Detection & Root Cause Analysis
Developed a system for data anomaly detection and root cause analysis.
Project: NLP Mini-Project
Implemented a Natural Language Processing (NLP) solution to analyze customer feedback. Used techniques like text preprocessing, sentiment analysis, and topic modeling.
Enhanced understanding of customer sentiment and improved response strategies.

• In the DeepSight Project, My Responsibilities include - Creating, Training, and Deploying custom deep learning algorithms for segmentation, object detection.
• In the Mobile ON-OFF Station Project, Along with Training models, my responsibility is to convert it into TensorRT and deploy it on edge devices like Jetson Nano and Jetson Xavier.

• Business Objective:
• To get the nearest email template required by the user based on the key words specified by the user.
• Scrapping most used email templates from websites data set size is subjective to individual team and to the NLP model requirement
• Skills to gain

1. Data Visualization

2. Basic Data Preprocessing

3. Model Implementation

4. Basic Machine Learning

5. Deployment

https://share.streamlit.io/pramodingale/project-email-templatesuggestion/main/email_template_api.py

• Worked as an project intern along with senior co-workers with the responsibilities such as Data Creation ,Data Manupulation.

• Hands on live industrial projects like Image processing, Computer vision along with better understandings with Deep learning algorithms.