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As the Data Analyst my core responsibilities include:- Designing and tuning feedback controllers to optimize response time and minimize steady state offset for hydrocarbon outlet temperature and oxygen exit concentration using MATLAB & Simulink software.- Modelling disturbance and manipulated variable relationships for feedforward controller tuning to undertake corrective action before controlled variable deviation.- Exploring the viability of coupled cascade, feedforward and feedback control regimes for furnace control. Show less

I’m going to go against conventional wisdom that tells you to think of and do high impact projects in your portfolio - instead do whatever you’re interested in! Interested in neural style transfer? Try it! I also think it’s ok to follow someone else’s code so long as you code with understanding - and more often than not you’ll notice ways to improve it (that’s your enhancement!). In my opinion , Personal projects help to keep the passion for AI alive, and is a good space of self expression. When you talk about your projects, it’ll be very evident that you’re passionate about the project and not just “doing” a project that looks nice.

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QA QC Lead NDT Level III | Oil & Gas Industry MSc Applied Physics, ASNT Level III (UT, RT, MT, PT, VT) I PCN Level III & II (UT, PAUT, ToFD) I CSWIP AUT Level II

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- Developed a pilot plant model of an industrial power plant encompassing CLOU technology using biomass as feed on Aspen Plus Software- Assessed the economic feasibility of the pilot plant using current policy pricing instruments - Conducted market research of technology pricing by surveying various companies through phone interviews.- Optimized process efficiency of the plant- Acutely assessed probably safety risks (HAZOP) of the pilot plant to ensure that the simulation design on Aspen Plus performed optimally and safely for industrial application.- Presented a compelling argument to not implement the CLOU - biomass plant to the director of the course and the Dean of Chemical Engineering- Awarded the "Most Inspiring Student" Award by the American Institute of Chemical Engineers (AIChE) Show less

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• Selected as an honours student under the world's top water membrane research group• Fabricated novel anti-fouling membranes by optimizing surface hydrophilicity and pore distribution, generating an unprecedented amount of carbon clean power (9.6W/m2 membrane area) using industrial wastewater and saltwater feeds.

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“I know Titus in the capacity as Instructor for two Masters' courses in the MITB programme. I am very impressed with his attitude towards learning (he is keen to learn new concepts even though it's optional materials and not tested in the exams) and delivering every piece of assignment/project with excellence. This is notwithstanding the fact that he has a full-time job at the same time. Apart from his strong work ethics, which is evident from the anonymous peer-evaluations done as part of group projects, Titus is also a genuine person who is willing to do things for the benefit of others rather than himself. He readily accepts invitations to participate in events such as Seniors sharing, in which he shares his experience as an MITB student, and poster exhibition during MITB's 15th anniversary event. With his strong learning ability and mindset for excellence, Titus will be a valuable team member to any organization.”

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It’s impossible to compete against the freelancing market because it’s impossible to master every skill (data engineering, MLOps, full stack dev, data science, Math, stats, etc.) /programming language, and more often than not you need the freelancing market to be successful to succeed yourself (just think of how long you spend on stack overflow). So it’ll be better to differentiate yourself by perspective and approach towards problem statements, and making your name by doing select projects well instead of doing many projects. Refine mastery of skills that help you in your projects by taking online short courses / watching videos and practicing them when given a chance :)

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Take predictive analysis with a pinch of salt because there is a wide degree of error for domains that are vulnerable to exogenous variables. For example you can go to a restaurant everyday, but one day you meet the love of your life there and this event cannot be forecasted. Likewise it’s impossible to forecast mass layoffs or the explosion or large language models. Instead, keep the predictive scope narrow and do sufficient exploratory data analysis to ensure that you’re not detecting spurious correlations.

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Beyond algorithms, it’s more important to know what you want in your career - because if you do, you don’t need to craft bespoke algorithms but simply prompt an LLM and give it search tools to answer. For example, an LLM can be given Serper/Tavily tools to search the Internet, and this LLM agent can be deployed in an ensemble of agents, each doing different things. One agent can have a complete view of your resume, another agent compares search results and your resume, and another agent rewrites your resume for the job.

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• Designed and conducted local optimization of the concentration unit of the distillation separation network to concentrate butanol product stream from 2wt% to 40wt%, resulting in economical operating costs to produce 175,000t/yr of butanol. • Coordinated global profitability analysis to optimize return on investment at the end of the plant’s operating span of 10 years.• Executed cost sensitivity analysis to quantify economic risks of plant profitability factors, resulting in the subsequent development of hedging strategies and identification of alternative feedstock to ensure plant profits.• Initiated social, economic and environmental sustainability analysis of the plant, identifying Texas (USA) and Brazil as potential startup locations. Show less

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I think that in the domain of careers, machine learning algorithms work as a fantastic recommendation system for learning. There are use cases where machine learning algorithms are deployed in online learning platforms to recommend modules of growth, personalized drill questions, etc.

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- Conceptualized a profitability model using Aspen PIMS software to accurately forecast profits of individual feedstock for purchase decision-making, improving monthly gross margin by $720,000/month.- Conceptualized a model using Aspen PIMS to accurately forecast Olefins economic profits of blending feedstock purchases, resulting in a gross margin improvement of $1 Million/month.- Constructed a linear economics yields estimation interface using Visual Basic (VBA) that improved linear yield prediction accuracies by 20% for profitability forecasts of feedstock. - Investigated and identified salient feedstock characteristics that have the greatest economic impact to the process, resulting in a 10% improvement in profit estimation errors. Show less

One of the ways to iterate rapidly is to use AutoML models on the final clean dataset (with engineered features, etc.). There are many tools such as AWS Sagemaker, DataRobot, SAS, KNIME, Orange, etc. the aim is to just get a sensing of what class of models appear to work better. Then pick that class and work on understanding feature importance and hyperparameter tuning

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Research- Conceptualized novel copper nanoparticles on yield and selectivity on methanol synthesis from CO2 using Vienna Ab Initio Simulation Package (VASP). - Conducted extensive literature survey on Density Functional Theory of Heterogeneous Catalysis- Investigated coordination effects of CO2 on Nickel catalysts for Fischer-Tropsch synthesis simulations.Data Analyst- Analyzed and elucidated trends in the variation of coordination numbers and shape effects on selectivity of copper catalysts on methanol synthesis from CO2. - Developed and communicated a Wulff Reconstruction procedure for the group to determine equilibrium nanoparticle shape after absorption.Collegiate Mentorship- Mentored final year project students in using the VASP software and understanding Density Functional Theory concepts in relation to catalysis. Show less

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