Aspiring data scientist with a solid foundation in mechanical engineering, seeking a challenging role where I can leverage my analytical skills and engineering background to extract meaningful insights. Eager to contribute my expertise in machine learning, statistical analysis, and problem-solving to drive data-driven decision-making in a dynamic and innovative environment.
Integrated XAI tools like LIME, SHAP, PDP and ALE plots into multiple machine learning and deep learning tools used for predictiong space weather.
Designed and developed a working database for an eComputerStore using a a traditional approach for building database by designing an Enhanced Entity Relationship (EER) diagram, transforming the EER model to a Relational database schema and creating the database tables in MySQL using the Relational schema.
Interactive dashboard built to post-process and perform different analytical studies on the simulation data generated from the MURPH Solver.
A Multi-dimensional (2-D/3-D), Unstructured-mesh and Reactions based Parallel solver for Hyper-sonic flow regimes.
Fully automated NSE Stock/Equity trading-bot for Kotak Securities (KOTAK TRADE API) with integrated back testing and ML algorithms for price and trend predictions.
A 2-D unstructured finite volume method (FVM) based framework is developed using an automatic code generation approach based on the symbolic Python package SymPy. The generated solver is capable of simulating flows in both Perfect gas and CO2 rich Martian environments.
Designed and analysed a 2-D heat sink made of Aluminium and a layer of epoxy between the chip and heat sink with specified thermal properties as a thermal design solution for cooling a noval chip using CFD-HT (Computational Fluid Dynamics and Heat Transfer) software ANSYS Fluent.
Designed and built a subsonic wind tunnel, which is capable of achieving air speeds close to 30m/s in the test section with expected low intensity turbulence level, making it available for research in areas such as low speed aerodynamics, etc.
A 2-D unstructured finite volume method (FVM) based framework is developed using an automatic code generation approach based on the symbolic Python package SymPy. The generated solver is capable of simulating flows in both Perfect gas and CO2 rich Martian environments. The generated solver is auto parallelized by the OP2 framework and it is capable of running on single/multi core CPU’s using OpenMP and Nvidia GPU’s using CUDA architecture.
Oct 2023 - Present
New Jersey
Was offered to conduct research under the guidance of Dr. Jason T. L. Wang (Professor, Computer Science, NJIT).
Oct 2023 - Present
Mar 2022 - Apr 2023
Vijayawada
Jayram Buildeng Solutions Pvt. Ltd. is a service based company which offers one stop solution for all your construction needs & activities.
Mar 2022 - Apr 2023
Sept 2021 - Mar 2022
Andhra Pradesh
Was offered to work as a Research Intern under Dr. Satya P Jammy (Associate Professor, Department of Mechanical Engineering, SRM University AP).
Sept 2021 - Mar 2022
Jun 2020 - Sept 2020
Remote
APSSDC is a unique organization formed as a Public Private Partnership (PPP) corporation to promote skill development & entrepreneurship in the state of Andhra Pradesh.
Jun 2020 - Sept 2020
2023-2025 Master of Science in Data Science Computational TrackGPA: 3.83 out of 4Taken Courses:
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2017-2021 Bachelor of Technology in Mechanical EngineeringCGPA: 8.51 out of 10Taken Courses:
Extracurricular Activities:
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2015-2017 Board of Intermediate Education Andhra Pradesh, BIEAPPercentage: 95.1 out of 100 | ||||||||||||||
This Professional Certificate helps to (i) Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau) (ii) Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming (iii) Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms (iv) Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job.
Discover how to build a fully automated trading bot on a shoestring budget. Learn quantitative analysis of financial data using python. Automate steps like extracting data, performing technical and fundamental analysis, generating signals, backtesting, API integration etc. You will learn how to code and back test trading strategies using python.
It is an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming. Students who successfully complete this course will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB.
This course builds upon digital manufacturing trends and foundational CAD concepts by introducing Fusion 360 as a problem-solving tool. In this course, we take the next step in connecting CAD, CAM, and CAE through a series of short exercises on 3D modeling, rendering, simulation, and computer aided manufacturing.
