Nitish Surana Email & Phone Number

Paris, FR

Paris, FR

1. Built Machine Learning Models to explain the marginal impact of including a feature in Mortality Risk modeling.2. Spearheaded Experiments for building new Evaluation metrics to compare performance from Relative Risk models.3. Deployed a pipeline for accessing Snowflake databases through AWS Domino Data Labs; Used by 20+ associates daily.

Los Angeles, California, US

Graduate Teaching Assistant for the course CSCI 585: Database Systems

Durham, North Carolina, US

1. Part of the US Delivery (Patient Analytics) team led by Shrivas Indramohan.2. Led multiple analytical projects containing data at Patient Level, Claims Level, Prescriber Level, Sales, etc. 3. Designed scalable solutions to various real-world problems faced by multiple big Pharma Clients. Implemented complex business rules using SQL to best serve the.

Kolkata, West Bengal, IN

• Worked alongside Dr. Umapada Pal at Computer Vision and Pattern Recognition Unit (CVPRU) at ISI, Kolkata.
• Constructed a synthetic struck-out text dataset that closely resembled how students perform strikeouts in answer sheets.
• The dataset incorporated over 80,000 images belonging to 15+ categories of strikeouts.
• Designed a novel deep neural network architecture for struck-out text detection that outperformed existing State-of-the-Art benchmarks by 5% F1 Score.
• Developed a Heuristic Multi-lingual Text Line Segmentation algorithm that achieves a 3% improvement over the existing benchmarks on the ICDAR2019 HDRC dataset.

New Delhi, Delhi, IN

1. Built a NER (Named Entity Recognition) Model capable of recognizing various entities that may be present in any legal document by leveraging the spaCy library.2. Performed the required data collection and pre-processing using state-wise scrappers for creating the NER model.3. Created a CLI script capable of scraping all the applicable ACTs that may be.

1. Part of the R&D team. Took the responsibility for developing the study materials for students.2. Took part in organizing various events conducted by BIF.

Singapore, SG

Academic Internship in the field of Big Data Analytics using Artificial Neural Networks. Hands-on implementation of various Data Science libraries, Machine Learning paradigms, Clustering Techniques, and Neural Network RepresentationsThe details regarding the internship are given in the LOE document below.

Houston, Texas, US

Academic Internship in Big Data and Hadoop System Administration.1. Studied some core principles of Distributed Computing Systems. 2. Set up a multi-node Distributed Computing environment using Apache Hadoop and gained hands-on experience on MapReduce Programming Model using Linode Cloud Servers. 3. Installed and learnt to use Hive,Sqoop for database.

Master Of Science - Ms, Computer Science (Specialization In Data Science)

Bachelor'S Degree, Computer Science

High School, Computer Science

Middle School, Mathematics And Computer Science