Srikanth Tankala

Experience

• 

  Tata Motors

  May 2014 - Jun 2014

  Study and Maintenance of Scharmann Boring machine

  • Analysed the working mechanism and mechanics behind the Gear train of the 3 Axes horizontal Boring machine• Designed the part Worm wheel as a part of maintenance of the Planetary Gearbox

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  Shree Cement Ltd.

  May 2015 - Jun 2015

  Optimize the life of Vertical Roller Mill (VRM) grinding tyre

  • Studied the impact of various parameters over the wear rate like hardness, toughness, temperature etc• Designed a elastomeric VRM grinding tyre so as to decrease the wear rate due to impact penetration• Sorted out some of the main reasons for the wear of inner liners of scrap chamber• Performed a detail study of the machine mechanism and pointed out one of main causes for re-circulation, vibration of rollers, wear of liners, loss of momentum of the hot air gas• Suggested some changes in the Machine Design to reduce the wear rate of rollers Mostrar menos

• 

  Citi

  Jul 2017 - Jul 2021

  • Developing framework solutions for targeted opportunities for Trade finance products• Identifying and enhancing the customer experience by leveraging the unstructured customer feedback• Upskilling the team members and active member of SME group on PySPark, NLP and Sequence modelling • Targeting Digital unenrolled segments by using Clustering analysis and Digital affinity scoring• Leveraging the Clickstream data and identifying customer journeys for re-targeting / cross-selling• Operational projects to understand the effect of Client Digital foot print on call reason at Citi Agent• Upskilling talent across AIM organization on Web Analytics and Clickstream data by conducting trainings

  • Data Scientist

    Jan 2020 - Jul 2021

  • Data Analyst

    Jul 2017 - Jan 2019
• 

  ConcertAI

  Jan 2021 - now

  • Worked on multiple information extraction tasks that involved classification, temporal transition event identification, relation extraction, NER.• Trained Language Models by fine tuning Bert Model for downstream information extraction tasks on oncology domain.• Created Embedding based Semantic Similarity module using BERT based encodings and pivoted the module for annotating different clinical entities for NER tasks and disambiguation tasks.• Completely owned the development and testing of the NLP Engine and collaborated with ML DevOps team for integration to production environment.• Migrated existing parts of the NLP Engine from Python to PySpark and worked with DevOps to optimize the spark performance.• Worked on several software aspects like reproducibility, latency, optimization of inference engine to improve the operational efficiency. Mostrar menos

  • Lead Data Scientist

    Jan 2024 - now

  • Senior Data Scientist

    Jan 2023 - Mar 2024

  • Data Scientist

    Jan 2021 - Jan 2022