Ayesha Waseem work email
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Ayesha Waseem personal email
I am a Data Scientist with a deep passion for transforming complex data into actionable insights that drive meaningful change. My approach centers on utilizing analytics to solve real-world problems and create positive impacts for businesses and individuals. I believe data is most valuable when it helps us make informed, impactful decisions, and I am dedicated to unlocking this potential in every project I undertake.With 5 years of data science experience across different industries, I bring a robust skill set that includes predictive modeling, forecasting, MLOps, and large language model (LLM) engineering. My expertise spans developing advanced algorithms to generate prescriptive insights, streamlining machine learning operations, and building scalable models that drive business growth and innovation. My commitment to continuous learning enables me to adapt quickly, ensuring I am always at the forefront of evolving technologies and best practices.Holding a master’s degree in Business Analytics from The University of Texas at Dallas, I have a strong foundation in statistical analysis and machine learning, which I apply to every project. I’m always eager to take on new challenges, explore fresh perspectives, and contribute to solutions that matter.Please feel free to reach out to me at aayesha.waseem@outlook.com.
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Data ScientistReveleerUnited States -
Data ScientistLegends Jan 2022 - PresentUnited States -
Data Science ConsultantCrowdplat May 2021 - Jan 2022San Jose, California, United States•Developed an NLP algorithm for NIH/NCATS to convert free text using biomedical research to elaborate knowledge graphs for NIH/NCATS•Carried out geospatial analysis using Bayesian Neural Networks and Bayesian Additive Regression Trees to produce a heuristic algorithm that identifies patterns in emerging health threats on a project issued by the CDC.•One of my internship projects required implementation of Convoluted Neural Networks, Shallow Neural Networks and Support Vector Machines to identify compounds in NASA’s Gas Chromatography Mass Spectrometry instrument output data.•I have also developed an ensemble machine learning algorithm for the EPA utilizing Random Forest, Deep Neural Network, and K-Nearest Neighbor methodologies for detection of NO2 and PM2.5 levels within geographical constraints•In my professional capacity as Data Science Consultant, I have been adept at working with minimal supervision, taking directives and effectively delegating tasks to ensure my deliverables are met in time. -
Manager New Business DevelopmentMaster Group Of Industries Mar 2019 - Dec 2019Lahore, Punjab, Pakistan• Successfully achieved financial close for a $65 million, 50 MW wind power project with an IRR of 14%• Arranged debt financing through DFIs and commercial banks for a $220 million, 100 MW hydropower plant in Chitral, Pakistan with an estimated annual revenue of $9 million• Conducted the financial feasibility for Pakistan’s first-ever tariff-based competitive bidding for a 100 MW power project; the Project was subsequently awarded to the company • Played a key role in the satisfaction of due diligence requirements, negotiation and execution of transaction documentation for 35 MW solar, 150 MW wind and 100 MW hydropower projects under development. -
Assistant Manager New Business DevelopmentMaster Group Of Industries Sep 2018 - Mar 2019Lahore, Punjab, Pakistan -
Business AnalystMaster Group Of Industries Sep 2017 - Sep 2018Lahore, Pakistan
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Management TraineeSindh Engro Coal Mining Company (Secmc) Jul 2016 - Jul 2017Karachi, Pakistan• Forecasted fuel and non-fuel tariffs for a comparative analysis for National Power Authority in support of doubling capacity of a 330 MW coalmine, granted approval for expansion stage feasibility assessment.• Conducted financial feasibility for a 660 MW coal mine illustrating adjustment in tariff components for periodic true ups in a multi-year tariff system; company was granted approval for development.• Constructed an Embedded Derivatives Model to account of optimization of operational costs for the 330 MW coal mine which was approved by management for setting running cost targets. -
InternEngro Fertilisers Jul 2015 - Aug 2015Karachi
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InternNib Bank Dec 2014 - Jan 2015Lahore -
Teaching AssistantLahore School Of Economics Aug 2013 - Dec 2013LahoreCourse Description: Organisational Development
Ayesha Waseem Education Details
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Business Analytics -
Economics And Finance -
Lahore School Of Economics
Frequently Asked Questions about Ayesha Waseem
What company does Ayesha Waseem work for?
Ayesha Waseem works for Reveleer
What is Ayesha Waseem's role at the current company?
Ayesha Waseem's current role is Data Scientist.
What is Ayesha Waseem's email address?
Ayesha Waseem's email address is aw****@****nds.net
What schools did Ayesha Waseem attend?
Ayesha Waseem attended The University Of Texas At Dallas, Lahore School Of Economics, Lahore School Of Economics.
Who are Ayesha Waseem's colleagues?
Ayesha Waseem's colleagues are Jennifer Chumbley, Andrew Green, Ashley Frazell, Deb Terino, Rt,bs,cpc, Kara Legg, Cca, Rhia, Tyshawn Martin-Mccray, Rhonda Gilliam.
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Ayesha Waseem
Hayward, Ca2tddctx.com, thehearthospitalbaylor.com -
Ayesha Waseem
Elk Grove, Ca
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