Himanshu S.

Experience

• 

  SRM University (Sri Ramaswamy Memorial University)

  Jan 2014 - Jan 2016

  GATE Scholar Teaching Assistantship

  As a Teaching Assistant, I facilitated materials science experiments that encompassed a range of key topics. In the Hall effect experiments, I guided students through measurements of electrical conductivity and carrier mobility, helping them understand charge carrier behavior in materials. In the context of solar cells experiments, I assisted students in constructing and analyzing photovoltaic devices, enabling them to grasp the principles of light-to-electricity conversion. Additionally, during potentiometer experiments, I provided hands-on guidance as students investigated electrochemical processes and gained insights into potential differences and electrode reactions. My role encompassed not only supervising the experiments but also explaining theoretical concepts, troubleshooting equipment, and fostering a comprehensive learning experience for students. Meno dettagli

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  SRM University

  Jan 2016 - Jan 2019

  Computational Research Scientist

  • Demonstrated that interlayer van der Waals interactions in MoS₂-based heterostructures can tune the band gap by up to 0.54 eV (e.g. reducing MoS2 band gap from 1.78 eV to 1.24 eV in MoS2/BlackP), highlighting the role of quantum confinement and hybridisation effects.• Achieved a high short-circuit current density (7–9 mA/cm²) and a maximum open-circuit voltage of 1.68 V for the MoS2/InSe type-II heterojunction, resulting in an energy conversion efficiency of 5.10%, which is an order of magnitude higher than conventional atomically thin film solar cells.• Provided quantitative insights into the optical performance with absorbance reaching up to 29% at 450 nm, offering a promising route for designing ultra-thin solar cells with superior photon absorption capabilities. Meno dettagli

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  McMaster University

  Jan 2019 - Apr 2023

  Computational Science Researcher

  • Developed WloopPHI, a Python tool integrated with WIEN2k, to calculate Weyl node chirality using an extended Wilson loop and Berry phase approach.• Optimized computational parameters to accurately capture Berry phase discontinuities and resolve Weyl node chirality.• Advanced ab initio topological characterization by eliminating the need for Wannier90, thus reducing computational complexity.• Demonstrated the thermodynamic stability of kagome lattice materials A3Sn2S2 (A = Co, Rh, Ru) via ab initio DFT calculations, using convex hull and ternary phase diagrams to predict compound synthesizability.• Developed and implemented a robust Python code to generate ternary phase diagrams and perform convex hull analysis, streamlining the evaluation of formation energies Meno dettagli

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  Masterschool

  Jan 2023 - Apr 2024

  Data Analyst Training Program

  • KPI Identification: Identified several key performance indicators in the form of user behavior, average spending, and user conversion rates.• Statistical Analysis: Analyzed key performance indicators using z- and t- tests to identify significant differences in average spending and user conversion rates.• A/B Testing and Conversion Rate Improvement: Accurately analyzed a dataset of ~100000 rows through exploratory data analysis using SQL resulting in an 18% improvement in the KPIs on the treatment group through predictive analytics.• Targeted Marketing Opportunities: Identified opportunities for targeted marketing to specific market segments to further enhance conversion rates.• Regional Performance Insights: Analyzed regions and demography to identify key market geographies for market expansion.• Data Visualization in Tableau: Created insightful dashboards that illustrated key metrics identified. Meno dettagli

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  IBM (via Coursera)

  Jan 2024 - now

  Data Science Student

  • Engineered a predictive model to forecast Falcon 9 first-stage landing success, achieving a 90% accuracy rate that supports cost estimation and enhances launch reliability.• Collected and wrangled data from SpaceX REST API and Wikipedia using Python and BeautifulSoup.• Performed Exploratory Data Analysis (EDA) with SQL and data visualization tools to uncover trends in rocket launch data.• Created an interactive dashboard using Plotly Dash, featuring visual analytics like success rate pie charts, scatter plots, and payload mass filters.• Deployed the dashboard on Azure for public access: SpaceX Falcon 9 Landing Prediction Dashboard. Meno dettagli