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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6.6
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 (Verified)
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Mobile Number
+91XXXXXXXX00
Experience
2023 - Present
freo
Senior Data Scientist
- Building credit risk models - Developing LLM based models to support customer experience
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.
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.
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
2013 - 2017
iit delhiindian institute of technology delhi
Bachelor's degree
Computer Science
2011 - 2013
sri chaitanya
High School
High School/Secondary Diplomas and Certificates
