Profile

Nanavath Bharath Nayak

Sr Data Scientist @ Freo (MoneyTap) || Ex-Swiggy || Ex- IBM || IIT Delhi

Nanavath Bharath Nayak is a highly skilled and experienced Data Scientist with over 5 years of experience in the information technology and services industry. He is currently working as a Data Scientist at Swiggy, where he is responsible for optimizing the assignment of delivery partners t

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6.8

Years of Experience

Education

iit delhiindian institute of technology delhi, sri chaitanya

Companies

freo, swiggy, ibm, samsung

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Nanavath Bharath 's contact details

Email

Email (Verified)

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Email

Mobile Number

+91XXXXXXXX00

Experience

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    2023 - Present

    freo

    Senior Data Scientist

    - Building credit risk models - Developing LLM based models to support customer experience

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    2019 - 2023

    swiggy

    Data Scientist

    1. Working on optimal assignment of Delivery Partners to orders so that overall customer experience is maximized with minimal cost of delivery. Formulated this problem as 0-1 ILP(Integer Linear Programming) with multi objective and solved this Operational Research problem using Gurobi. 2. Built Restaurants Listing model based on efficiency of the restaurant and conversion rate of the customer. 3. Working on formulating Assignment and batching as a Reinforcement Learning problem.

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    2017 - 2019

    ibm

    Cognitive Data Scientist

    1.Automated Financial Crime Insights by extracting information using NLP techniques like Named Entity Recognition(NER), Coreference Resolution, Sentiment Analysis. 2.Trained a binary classifier on Adverse Press data using Ensembled Learning on Naive Bayes, Random Forest, SVM where TF-IDF, Word2Vec, GloVe were used for feature representation. 3.Optimized processing time of neural-coref (a coreference library) from 57 sec to 3 sec. 4.Developed a unsupervised document summarization system using Word2Vec and DBSCAN. 5.Improved accuracy of NER module from 85.85% to 89%(PERSON) and 86%(ORGANISATION). 6.Designed and Developed a software application to simplify collection of prediction feedback.

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    2016 - 2016

    samsung

    Software Developer Internship

    1.Formulated a method to auto-suggest the succeeding Tizen(OS used by Samsung) API for code editor. 2.Used SimHash for hashing and BK tree data structure to get approximate string matching. 3.Bayesian Networks was employed to generate the frequent usage pattern.

Experience

59 Skills

Algorithms

Apache Hive

Artificial Intelligence

Artificial Neural Networks

C++

C++

Communication

Convolutional Neural Networks (CNN)

Customer Experience

Data Science

Data Scientist

Deep Learning

Feature Engineering

Hive

Hive

Information Technology

Keras

Large language models (LLM)

Linux

Machine Learning

Machine Learning (ML)

ML

MySQL

MySQL

Naive Bayes

Natural Language Processing

Natural Language Processing (NLP)

Neural Networks

nlp

NLTK

NumPy

Object-Oriented Programming (OOP)

Operations Research

Pandas (Software)

PostgreSQL

Presto

Programming

Pulp

PySpark

pyspark

Python

Python

Python (Programming Language)

Random Forest

Recurrent Neural Networks (RNN)

Reinforcement Learning

Reinforcement Learning

Research

Research Scientist

Scikit-Learn

Sentiment Analysis

Software Development

Spacy

SQL

Support Vector Machine (SVM)

SVM

Text Analytics

Text Mining

Word2Vec

Education

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    2013 - 2017

    iit delhiindian institute of technology delhi

    Bachelor's degree

    Computer Science

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    2011 - 2013

    sri chaitanya

    High School

    High School/Secondary Diplomas and Certificates