Technical Support Executive

• Sep 2023 - Present

Technical Consultant - Data Science (CareerStart@SAS, EMEA & AP)

• May 2022 - May 2023

● Created Analytics and ML prototypesfor BFSI and government clientsresulting in a 40% improvement in customer onboarding success rates. ● Deployed ID pipelines for optimized loan-rate allocation & portfolio segregation, resulting in a 58% reduction in system time for stakeholders. ● Cut manual workload by 92% through NLP-based automation of executive-doctor discussion categorization for a pharma client’s Ops team. ● Enhanced client’s CSAT score by 60%; deployed a complaint resolution… Show more ● Created Analytics and ML prototypesfor BFSI and government clientsresulting in a 40% improvement in customer onboarding success rates. ● Deployed ID pipelines for optimized loan-rate allocation & portfolio segregation, resulting in a 58% reduction in system time for stakeholders. ● Cut manual workload by 92% through NLP-based automation of executive-doctor discussion categorization for a pharma client’s Ops team. ● Enhanced client’s CSAT score by 60%; deployed a complaint resolution chatbot, developed an LSTM-based classification systemin TensorFlow using Keras API, and conducted an in-depth qualitative analysis of the data collected to formulate an insights dashboard. ● Engineered a multifunctional Customer Intelligence platform for insurance portfolios, integrating SAS VIYA with a ReactJs web application to streamline data processing and analysis workflows, resulting in a 40% increase in operational efficiency and revenue optimization. ● Optimized premium rates&recommended optimal number of active insurance policies for a client using SAS PROCOPT reducing VAR by 30%. ● Developed ML based statistical time series forecasting models using SAS Visual Forecasting for fraud detection and prediction of claims frequency, optimizing risk management and resource allocation for insurance client. Show less ● Created Analytics and ML prototypesfor BFSI and government clientsresulting in a 40% improvement in customer onboarding success rates. ● Deployed ID pipelines for optimized loan-rate allocation & portfolio segregation, resulting in a 58% reduction in system time for stakeholders. ● Cut manual workload by 92% through NLP-based automation of executive-doctor discussion categorization for a pharma client’s Ops team. ● Enhanced client’s CSAT score by 60%; deployed a complaint resolution… Show more ● Created Analytics and ML prototypesfor BFSI and government clientsresulting in a 40% improvement in customer onboarding success rates. ● Deployed ID pipelines for optimized loan-rate allocation & portfolio segregation, resulting in a 58% reduction in system time for stakeholders. ● Cut manual workload by 92% through NLP-based automation of executive-doctor discussion categorization for a pharma client’s Ops team. ● Enhanced client’s CSAT score by 60%; deployed a complaint resolution chatbot, developed an LSTM-based classification systemin TensorFlow using Keras API, and conducted an in-depth qualitative analysis of the data collected to formulate an insights dashboard. ● Engineered a multifunctional Customer Intelligence platform for insurance portfolios, integrating SAS VIYA with a ReactJs web application to streamline data processing and analysis workflows, resulting in a 40% increase in operational efficiency and revenue optimization. ● Optimized premium rates&recommended optimal number of active insurance policies for a client using SAS PROCOPT reducing VAR by 30%. ● Developed ML based statistical time series forecasting models using SAS Visual Forecasting for fraud detection and prediction of claims frequency, optimizing risk management and resource allocation for insurance client. Show less

Lady Representative

• Jun 2021 - Apr 2022

Developed and Launched the Official website of Voices- The Women's Cell of MPSTME www.voicesmpstme.in Reasearch on the public opinion about "Feminism" Developed and Launched the Official website of Voices- The Women's Cell of MPSTME www.voicesmpstme.in Reasearch on the public opinion about "Feminism"

Software Development and Research Intern

• Oct 2021 - Jan 2022

● Spearheaded a 10-member team in the ideation and development of a data-driven Flutter application for UK teenagers, bolstering mental health through gamification and music-driven support, which led to a 30% upturn in early distress detection. ● Managed E2E application execution, including KPI identification, code reviews, and testing, resulting in a 25% load time improvement. ● Utilized LDA and clustering topics extracted from Spotify soundtracks as inputs to a T5-based LLM model… Show more ● Spearheaded a 10-member team in the ideation and development of a data-driven Flutter application for UK teenagers, bolstering mental health through gamification and music-driven support, which led to a 30% upturn in early distress detection. ● Managed E2E application execution, including KPI identification, code reviews, and testing, resulting in a 25% load time improvement. ● Utilized LDA and clustering topics extracted from Spotify soundtracks as inputs to a T5-based LLM model, supplemented by attribute absorbers such as user listening patterns, achieving a 75% success rate in identifying teens with mental health concerns in the test group. Show less ● Spearheaded a 10-member team in the ideation and development of a data-driven Flutter application for UK teenagers, bolstering mental health through gamification and music-driven support, which led to a 30% upturn in early distress detection. ● Managed E2E application execution, including KPI identification, code reviews, and testing, resulting in a 25% load time improvement. ● Utilized LDA and clustering topics extracted from Spotify soundtracks as inputs to a T5-based LLM model… Show more ● Spearheaded a 10-member team in the ideation and development of a data-driven Flutter application for UK teenagers, bolstering mental health through gamification and music-driven support, which led to a 30% upturn in early distress detection. ● Managed E2E application execution, including KPI identification, code reviews, and testing, resulting in a 25% load time improvement. ● Utilized LDA and clustering topics extracted from Spotify soundtracks as inputs to a T5-based LLM model, supplemented by attribute absorbers such as user listening patterns, achieving a 75% success rate in identifying teens with mental health concerns in the test group. Show less

Data Analytics Intern

• Oct 2020 - Dec 2020

Worked on the backend of Project UP ECONOMIC CENSUS which is an initiative by the UP Govt for conducting Economic survey of the unorganized sector in the state of UP. I was responsible for developing an automated system to conduct a detailed analysis on the data collected and recommend policies to the government using the same. ● Architected an analytics and recommendation workflow utilizing Python with Jenkins-driven automation, coupled with AWS Lambda, S3, SES, & CloudWatch Events to… Show more Worked on the backend of Project UP ECONOMIC CENSUS which is an initiative by the UP Govt for conducting Economic survey of the unorganized sector in the state of UP. I was responsible for developing an automated system to conduct a detailed analysis on the data collected and recommend policies to the government using the same. ● Architected an analytics and recommendation workflow utilizing Python with Jenkins-driven automation, coupled with AWS Lambda, S3, SES, & CloudWatch Events to generate daily reports, leading to a 40% improvement in strategic planning capabilities for the Digital Census project. I was selected as the super intern during my internship Tech Stack used: Python (Pandas and NumPy), Mongo DB, SQL, Django, gupshup, aws

Backend Developer Lead Intern

• Mar 2020 - Oct 2020

The app/portal to provide shramiks as well as industries a platform where the available skills can be highlighted and utilized by the local industries on a need-based rational approach. The project was done under TIFAC and in collab with the gov of Uttar Pradesh ● Led KPI identification, development, code reviews, load/stress testing, unit/integration/e2e testing for 'SAKSHAM,' an AI-driven project connecting laborers with job providers on a hyperlocal level; currently around 300k+… Show more The app/portal to provide shramiks as well as industries a platform where the available skills can be highlighted and utilized by the local industries on a need-based rational approach. The project was done under TIFAC and in collab with the gov of Uttar Pradesh ● Led KPI identification, development, code reviews, load/stress testing, unit/integration/e2e testing for 'SAKSHAM,' an AI-driven project connecting laborers with job providers on a hyperlocal level; currently around 300k+ registered users. ● Engineered a real-time dashboard and implemented scalable REST APIs using ReactJS, Django, MongoDB, and microservices for TIFAC; Achieved a 30% reduction in decision-making time through improved data accessibility. ● Built a Multilingual WhatsApp chatbot using Django and Gupshup to collect data from thousands of users daily. ● Devised automated CI/CD pipelines leveraging Apache Kafka, interfacing with AWS EC2, to expedite real-time data acquisition, cleansing, and transformation from a Multilingual WhatsApp chatbot utilizing Gupshup APIs, reducing webpage loading time to 1.2 seconds. Check out the project at - http://Sakshambytifac.org Tech Stack used: Python (Pandas and NumPy), Mongo DB, SQL, Django, gupshup, aws