Feb 2020 – Jul 2022 · 2 yrs 5 mos · Hyderabad, Telangana, India

Jul 2018 – Jan 2020 · 1 yr 6 mos · Greater Hyderabad Area

• 1. Designed and implemented a graph based computational framework for time-series data.
• Extended this framework into data forecasting pipelines that included data processing, model training and forecasting and visualisation.
• Framework supported easy visualisation of data evolution for analytical and debugging purposes, reducing debug time and simplifying the process of model additions/modifications.
• 2. Built a data processing system that spans data acquisition, transformation, storage and access with full ownership for front office computation.
• Setup provided efficient and simplified data consumption for reporting and forecasting needs.

Dec 2017 – Jun 2018 · 6 mos · Greater Hyderabad Area

• Built a forecasting pipeline based on fundamental time-series data. The pipeline spanned ~1000 different time-series and ~10,000 computations.
• Strict code execution deadlines were met via use of data vectorisation and efficient algorithms.
• Results were efficiently visualised though parallel computation.

May 2016 – Jul 2016 · 2 mos · Roorkee

• Developed a routing protocol for WSNs based on the genetic algorithm PSO(Particle Swarm Optimisation) under the guidance of Dr. P. Sateesh Kumar.
• Involved OOPS inspired C++ module development on embedded system.
• The training involved code development, optimisation and tackling implementation and design
• challenges.
• The nodes used were manufactured by a German company named 'Coalesenses'.