Deepika N
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Deepika N Email & Phone Number

Data Scientist | AI & Machine Learning Expert | Specialized in Document Retrieval, NLP, and Data Visualization | Proficient in Python, AWS, and Elasticsearch | IIT Ropar at Rheo AI
Location: Chennai, Tamil Nadu, India 6 work roles 2 schools
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Data Scientist | AI & Machine Learning Expert | Specialized in Document Retrieval, NLP, and Data Visualization | Proficient in Python, AWS, and Elasticsearch | IIT Ropar
Location
Chennai, Tamil Nadu, India
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Deepika N is listed as Data Scientist | AI & Machine Learning Expert | Specialized in Document Retrieval, NLP, and Data Visualization | Proficient in Python, AWS, and Elasticsearch | IIT Ropar at Rheo AI, a with 9 employees, based in Chennai, Tamil Nadu, India. AeroLeads shows a matched LinkedIn profile for Deepika N.

Deepika N previously worked as Junior Data Scientist at Rheo Ai and Applied Data Science Lab at Worldquant University. Deepika N holds Masters, Mathematics from Indian Institute Of Technology, Ropar.

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Rheo AI

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About Deepika N

Deepika N is a Data Scientist | AI & Machine Learning Expert | Specialized in Document Retrieval, NLP, and Data Visualization | Proficient in Python, AWS, and Elasticsearch | IIT Ropar at Rheo AI.

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Rheo AI
Rheo Ai
Data Scientist | AI & Machine Learning Expert | Specialized in Document Retrieval, NLP, and Data Visualization | Proficient in Python, AWS, and Elasticsearch | IIT Ropar
irvine, california, united states
Website
Employees
9
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6 roles

Deepika N work experience

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Junior Data Scientist

Current

Chennai, Tamil Nadu, India

As a Data Scientist in my current role, Spearheaded the development of a search and chatbot system leveraging Elasticsearch and LLMs to streamline document retrieval and improve user interaction, enhancing operational efficiency by 30%. Automated the ingestion of large volumes of documents from AWS S3 using PDFPlumber, PyMuPDF, and AWS Textract, reducing manual handling by 80%. Developed complex algorithms to convert documents into embeddings and implement cosine similarity and KNN for accurate document ranking in Elasticsearch. Implemented a Retrieval-Augmented Generation (RAG) system and multi-threading to optimize search performance, reducing query response times. Integrated LLMs for generating precise responses to user queries, improving engagement by 25%. Enhanced the chatbot's memory to retain context, improving accuracy in multi-step user queries. Built real-time communication capabilities through socket programming, delivering a responsive user experience. Processed form data using computer vision techniques like SIFT and fuzzy matching to convert hardcopy forms into digital formats and generate actionable insights. Led the creation of dynamic data visualizations to empower users with in-depth analysis and comparative insights.

Jul 2023 - Present

Applied Data Science Lab

Completed 6 out of 8 projects which involves : Project1: Housing in Mexico ✓Load data into a pandas DataFrame ✓ Clean and combine messy data ✓Examine the relationship between variables using correlation. ✓Create insightful visualizations like histograms, scatter plots, and bar charts.Project 2:Housing in Buenos Aires ✓Load multiple CSV files into a pandas DataFrame ✓Clean messy data with a wrangle function ✓Create a machine learning pipeline with feature encoding and imputation ✓Create insightful visualizations like a Mapbox scatter plot, a heatmap, and a bar chart for model coefficientsProject 3: Air Quality in Nairobi ✓Get data from a MongoDB database ✓Explore and clean time series data. ✓Build autoregression models. ✓Tune hyperparameters.Project 4: Earthquake Damage in Nepal ✓Extract data from a SQL database ✓Perform a randomized train-test split ✓Build a logistic regression model for classification ✓Build a decision tree model for classification ✓Tune model hyperparametersProject 5: Bankruptcy in Poland ✓Navigate a file system using the command line ✓Load and save files using Python ✓Work with imbalanced data using resampling ✓Build ensemble models like random forest and gradient boosting trees ✓Evaluate a classification model using precision and recallProject 6: Customer Segmentation in US ✓Conduct complex exploratory data analysis on one of the biggest datasets in the DS lab, and compare sub-populations using a side-by-side bar chart. ✓Apply key concepts of unsupervised learning into practice by building an k-means model. ✓Conduct feature selection for clustering based on variance. ✓Reduce high-dimensional data using principal component analysis (PCA). ✓Design, build and deploy a Dash web application.

Jul 2022 - Jul 2023

Content Writer

Provokeu Foundation

Chennai, Tamil Nadu, India

Aug 2021 - Jul 2023

Education Mentor

Siruthuligal Foundation
Jun 2021 - Jul 2023
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2 education records

Deepika N education

FAQ

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What company does Deepika N work for?

Deepika N works for Rheo AI.

What is Deepika N's role at Rheo AI?

Deepika N is listed as Data Scientist | AI & Machine Learning Expert | Specialized in Document Retrieval, NLP, and Data Visualization | Proficient in Python, AWS, and Elasticsearch | IIT Ropar at Rheo AI.

Where is Deepika N based?

Deepika N is based in Chennai, Tamil Nadu, India while working with Rheo AI.

What companies has Deepika N worked for?

Deepika N has worked for Rheo Ai, Worldquant University, Career Development & Placement Cell, Iit Ropar, Provokeu Foundation, and Siruthuligal Foundation.

Who are Deepika N's colleagues at Rheo AI?

Deepika N's colleagues at Rheo AI include Nissan Bharath, Karthika Vinoth, Raghu Vamsi Yaram, Nawdeep Sharma, and Vetrivel Sundararajan.

How can I contact Deepika N?

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What schools did Deepika N attend?

Deepika N holds Masters, Mathematics from Indian Institute Of Technology, Ropar.

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