Summary
Overview
Work History
Education
Skills
Certification
Linkedin
Timeline
Generic
Venkatramana Gongati

Venkatramana Gongati

Dubai

Summary

  • Data scientist with 14+ years of experience in IT industry.
  • Around 10+ years of experience in compiling,transforming and analyzing structured and unstructured data using python, pyspark and cloud infrastructure such as AWS EC2, Lambda, S3 etc.
  • Good knowledge on cloud services such as AWS and Azure. Built ML workflows using Apache Airflow on AWS.
  • Proficient in applying Statistical Modelling and Machine Learning techniques such as Linear Regression, Logistic Regression, Decision Trees, XGBoost, etc. in forecasting/predictive applications.
  • Involved in developing information extraction using NLP libraries such as nltk, spacy, word2vec, top2vec etc.
  • Extensive working experience in building deep learning & fine-tuning transfer learning models using tensorflow & pytorch libraries.
  • Highly skilled in Data analysis, Machine learning, Computer Vision and Natural language processing.
  • Worked closely with business and helped in building dashboards using Power BI and Grafana.

Overview

16
16
years of professional experience
1
1
Certification

Work History

Data Engineer

RSS Power Equipment Rental LLC
09.2022 - Current
  • Specialized in streaming IoT data through API to AWS TimestreamDB using AWS Lambda having multiple timeframes, KPIs are scheduled in AWS to showcase key business metrics in Grafana Dashboard. This solution is a prototype for cloud migration project that will result in annual cost savings of 84% ($188,000) of cost comparing with SAP solution.
  • Performed various data wrangling techniques using Python and built several plots for Proposal Team, thus, which helps to prepare profitable proposal for client as optimal solution in Market
  • Maximized performance benefits for clients, delivering testable, maintainable and modern data solutions in SQL, Python

Principal Data Scientist

Altimetrik India Pvt Ltd
08.2021 - 07.2022
  • InVitro and InVivo models: Data acquisition of PK data to predict concentration of the drug level in blood using Random Forest and XGBoost and deployed in AWS SageMaker.
  • Expertise in gathering Client's/SH need, developing detailed business requirements, examining existing data making recommendations for improvements based on Statistical Predictive Insights.
  • Led a10 members Data Science Team (Hiring, Guidance, Ownership, Task Delivery responsibility and Timely delivery) and collaborating with cross functional teams( Frontend Angular Js) in order to implement ML/AI models.

Deputy Manager (Data Scientist)

Renault Nissan Technology & Business Centre India
11.2019 - 07.2021
  • Worked with COE team and developed multiple applications using cutting edge Computer Vision and NLP techniques.
  • Built a tool using Python/ R Shiny for Feature Selection & EDA to select significant features for Emission Analysis using various Machine Learning alogs like Random Forest, L1 & L2, Step-wise Regression, MARS, Boruta and deployed.
  • GR/IR Analytics dashboard was built using Spotfire, data summarization with challenging business logics were developed using Python.
  • Developed instance segmentation models for damage detection using TensorFlow and Keras on Mask RCNN.
  • Preparing huge volume of ground truth images (Annotation) for model training.
  • Coordinating with UI/UX team for web interface development.

Advisor - Advanced Analytics

Maersk Global Services Center Pvt Ltd
03.2016 - 10.2019
  • VGM Estimation- Based on weight prediction model's implementation, utilization of vessel has gone up by 0.5%, used technique is Multiple Linear Regression and Random Forest and deployed in Azure ML.
  • Downfall Prediction - Used Random Forest, Logistic Regression and SVM to predict downfall across various trades to optimize vessel utilization and lower cargo rolling.
  • Strategize, Design and develop end to end solution using advanced NLP techniques.
  • Applied Topic Modelling using LDA, Top2Vec to extract abstract topics from the corpus of complaints.
  • Designed and developed end to end solution using advanced NLP techniques such as NER, Topic Modelling, BERT to extract Booking Status. Created dashboard Power BI for Booking Team, which helped Booking Team Head to take strategic decision on booking process.

Portfolio Analyst II

AIG Analytics & Services Pvt Ltd
10.2013 - 02.2016
  • P & C Analytics – Predicted EV & CV for various catastrophes like Earthquake, Windstorm using Insurance tools (RMS & AIR) and summarized the results with SAS and shared with Clients.
  • Auto Insurance Analytics - Built Frequency, Severity and Loss ratio model which helps underwriter to quote premium for policy based on the data furnished along with fixed commission which can be applied accordingly.

Associate - Analytics

Cognizant Technologies Solutions
04.2013 - 09.2013
  • Retail Analytics - Developed & presented Automated Risk Analyzer model for a private Renting and leasing company in US Market using Multiple Linear Regression with SAS. Coordinated model deployment & model implementation with US team & assisted in training on model concepts and model implementation. Designed management reports to monitor and track results.
  • Facilitated process improvements by evaluating the effectiveness of existing systems and recommending modifications based on data analysis findings.

Analyst - Actuarial Science

RR Donnelley India Outsource Pvt Ltd.
08.2008 - 10.2012
  • MPCI Analytics - Used ARIMA model to forecast corn production for state of Illinois. The state of Illinois was chosen as it contributes largely to US corn production.
  • CAT Analytics – Performed EDA, analyzed and compared AEP and OEP in RMS and AIR and prepared pricing sheets based on ELT. Data structuring and validating in SAS, performed CAT E2E modelling for property accounts.

Education

Master of Science - Statistics

Madras Christian College
Chennai
06.2008

Bachelor of Science - Statistics

Madras Christian College
Chennai
06.2006

Skills

  • Machine Learning
  • Regression and Classification algorithms
  • Deep Learning
  • Python
  • Pandas
  • Numpy
  • Tensorflow
  • Keras
  • Pytorch
  • AWS
  • Pyspark
  • Computer Vision
  • Natural Language Processing
  • Customer Segmentation
  • Statistical Analysis
  • Agile Methodology

Certification

  • Generative AI: Introduction to Large Language Models - Linkedin
  • SAS Certified Advanced Programmer for SAS 9 - SAS Inc
  • Business English Communication - University of Cambridge

Linkedin

www.linkedin.com/in/venkatgongati

Timeline

Data Engineer

RSS Power Equipment Rental LLC
09.2022 - Current

Principal Data Scientist

Altimetrik India Pvt Ltd
08.2021 - 07.2022

Deputy Manager (Data Scientist)

Renault Nissan Technology & Business Centre India
11.2019 - 07.2021

Advisor - Advanced Analytics

Maersk Global Services Center Pvt Ltd
03.2016 - 10.2019

Portfolio Analyst II

AIG Analytics & Services Pvt Ltd
10.2013 - 02.2016

Associate - Analytics

Cognizant Technologies Solutions
04.2013 - 09.2013

Analyst - Actuarial Science

RR Donnelley India Outsource Pvt Ltd.
08.2008 - 10.2012

Master of Science - Statistics

Madras Christian College

Bachelor of Science - Statistics

Madras Christian College
  • Generative AI: Introduction to Large Language Models - Linkedin
  • SAS Certified Advanced Programmer for SAS 9 - SAS Inc
  • Business English Communication - University of Cambridge
Venkatramana Gongati