Akash Duvva
Community Outreach and Industrial Collaborator @ Institute Innovation Council - ICT (UDCT), Mumbai
About
I am a Chemical Engineering undergraduate (Class of 2028) with a strong curiosity for science and a particular interest in Organic Chemistry. Driven by a passion for continuous learning, I enjoy exploring new concepts and taking on challenging problems with confidence and dedication. I enjoy solving complex engineering problems through logical reasoning, critical thinking, and a systematic analytical approach.My academic interests lie in transport phenomena, computational fluid dynamics (CFD), process design, process simulation, and related areas of chemical engineering.I believe in committing myself wholeheartedly to every opportunity that aligns with my interests, and I look forward to learning, collaborating, and growing as an engineer and researcher.
India
Bhiwandi
Chemicals
Data Science, R (Programming Language), Statistical Data Analysis, Microsoft Excel, Astrophysics, Data Analysis, Python (Programming Language), Scientific Computing, Research Skills, Aspen Plus, MATLAB, Nanotechnology, Nanomaterials, Nanoscale Transport phenomena , Critical Thinking, Leadership, Team Leadership, High School Physics, High School Mathematics, Chemistry
Experience

Community Outreach and Industrial Collaborator
Mumbai, Maharashtra, India
I'm responsible for the communication between the Industries and the club for knowing the exact practical problems the industries are facing which needs to be resolved. To outreach the IIC club beyond our college, through the collaboration with other academic institutes and industries are my duties. I'm also liable for scrutinizing different hackathon solutions, articles published by the innovation council.

BTUGRP Internship
Worked under the guidance of 𝐏𝐫𝐨𝐟. 𝐀𝐧𝐚𝐧𝐝 𝐏𝐚𝐭𝐰𝐚𝐫𝐝𝐡𝐚𝐧 on the analysis of sector-wise greenhouse gas (GHG) emissions using the EDGAR 2024 GHG Emissions Booklet. Performed data cleaning, statistical analysis, and trend analysis to evaluate emission patterns across different economic sectors and derive data-driven insights.

Research Intern (Astronomy & Astrophysics)
Conducted computational astrophysics projects involving cosmological data analysis using Python, applying numerical methods and scientific computing techniques to analyze large astronomical datasets. Developed workflows using NumPy, Pandas, SciPy, Matplotlib, and Astropy for data processing, visualization, and model evaluation. Estimated the Hubble constant (H₀) and the age of the Universe by fitting the ΛCDM cosmological model to the Pantheon+SH0ES Type Ia supernova dataset using nonlinear regression and numerical integration. Evaluated the robustness of the model through residual analysis and by comparing cosmological parameter estimates across low- and high-redshift supernova samples. Estimated the dynamical mass of a galaxy cluster using Sloan Digital Sky Survey (SDSS) observational data by applying redshift filtering, velocity-dispersion analysis, and the virial theorem. Performed statistical analysis and visualization to study galaxy cluster dynamics and derive key astrophysical parameters.
Education
Akash Duvva's Contact Information
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