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With over 6 years of experience in data science, I specialize in developing and implementing cutting-edge AI and machine learning solutions that drive real-world impact. My expertise spans the full stack of data science, from data engineering and model development to production deployment and team leadership.## Key Achievements:- Led the adoption of Large Language Models (LLMs) at SparkCognition, enhancing AI-driven solutions and driving product innovation- Spearheaded projects in renewable energy and predictive maintenance, demonstrating the practical application of AI in critical industries- Integrated advanced generative AI and ML solutions to accelerate renewable energy adoption- Improved internal tools and workflows through collaborative AI implementation## Technical Proficiencies:- Machine Learning & Deep Learning- Natural Language Processing & LLMs- Full Stack Data Science Pipeline- Cloud Computing & Big Data Technologies- Software Development & DevOps## Leadership & Innovation:- Proven track record in leading cross-functional teams- Expertise in translating complex technical concepts for diverse stakeholders- Focus on developing user-centric AI applications with measurable business impactI'm passionate about leveraging data science and AI to solve complex problems and drive innovation. If you're looking for a leader who can bridge the gap between cutting-edge AI research and practical business applications, let's connect and explore how we can make a significant impact together.
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Senior Data Scientist6SenseCalifornia, United States
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Data Scientist IiiAvathon Jan 2022 - PresentAustin, Texas, Us- Expertise in integrating advanced AI technologies, particularly in TimeSeries and NLP domain to enhance product capabilities and user experience of Renewable Technologies.- Pioneered adopting and optimizing LLMs in our product suite, significantly advancing our AI-driven solutions.- Led initiatives to improve internal tools and workflows, to significantly improve developer productivity.- Collaborative development of innovative AI applications, focusing on practical, user-centric outcomes.- Committed to staying at the forefront of AI technology, continually exploring and implementing cutting-edge data science and software development solutions. -
Data Scientist IiAvathon May 2021 - Jan 2022Austin, Texas, UsWe build AI solutions that unearth the insights living within our customers’ data. We’re constantly innovating to create exponential technologies that allow our clients to optimize operations, predict future events, protect their assets, and accelerate their growth. While others speculate and chase hype, we’re motivated by what’s proven, scalable, and impactful. With deep expertise across critical industries, we’re working together with our clients to help solve problems, big and small, that matter most to them.
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Data ScientistAvathon Jun 2019 - May 2021Austin, Texas, UsPreviously Known as Ensemble Energy ( Acquired by Sparkcognition)Ensemble Energy helps its customers generate clean energy as efficiently and cost-effectively as possible. We do this by combining the latest in machine learning and AI with deep energy domain expertise. Our Energy.ML platform uses existing sensors to accurately and quickly identify underperforming assets, predict failures, and in many cases, prevent failure from occurring. With Energy.ML, our customers benefit from increased energy production, reduced O&M costs, and increased operational efficiencies.
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Graduate Research AssistantTexas A&M University Jan 2019 - May 2019College Station, Tx, Us• Working with Dr. Yu Ding on predictive analytics in Wind Energy System.• Analyzing big data and applying machine learning methods to enhance the efficiency of the system. -
Data Science InternAvathon Jun 2018 - Dec 2018Austin, Texas, UsPreviously Known as Ensemble Energy ( Acquired by Sparkcognition)• Architected ETL pipeline to process & manipulate data efficiently (60% reduction in processing time) for 5 customers utilizing multiprocessing, pandas, dask pipeline in Python on AWS cloud server.•Implemented a robust anomaly detection system to predict component failure using GBM for 6 components of the wind turbine.• Delivered executable insights to customers, by performing physics-based statistical data analysis, and advanced data visualizationutilizing ggplot & matplotlib library in Python, that helped to increase 150K $/year in revenue.• Optimized and benchmarked ML models in order to standardize and track the performance of models across multiple customers• Built advanced data preprocessing and manipulation step to support Energy.ML platform to monitor KPI related to Wind Farms.• Productionized all ML model with utilizing Scikit learn pipeline and automated the process of reporting result on the platform• Created and build supporting features utilizing advanced data analytics and ad-hoc data manipulation scripts for Energy ML product.• Implemented Autoencoders to detect anomalies ( Failure, Maintenance, Abnormal Behaviour) on multivariate imbalance data. • Presented findings and insights to executives, both technical and non-technical audience from the client side.• Involved in all the data science projects and process from prototyping to business impact.
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Graduate Student AnalystUtilities & Energy Services Dec 2017 - Jun 2018• Weekly reviewing, reporting and maintaining the record of generated Plant's utilities and consumption of natural gas.• Created weather-controlled building baseline MARS regression models for all digitally metered utilities in EEM software.• Compared baseline modeled consumption and real-time consumption using statistical control limit chart.• Designed interactive dashboard of heating and chilled water distribution map in Excel to monitor and analyze the distribution of utilities. • Reviewed hourly and monthly consumption data using statistical and visual analysis, identified outliers and performed root cause analysis.
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Production Analyst InternAmbica Engineering Works May 2016 - Aug 2016• Performed Regression Analysis using Excel, predicting tool breakage, process breakdowns, and quality issues and applied Cause Corrective Actions.• Designed dashboard to visualize quality performance (failure rate and scrap rate) of Key shafts, bolts, and nuts by different time bins.• Defined, measured, and communicated key performance indicators and supportive metrics that track the effectiveness of production planning and manufacturing execution.• Formulated sampling procedures and SQL queries to retrieve quality and reliability data to perform the quality check of the press die parts in Minitab to constructed Pareto chart.• Worked with Cross-functional teams to plan, manage and analyze production to identify bottlenecks and troubleshoot process breakdowns.
Jay Shah Skills
Jay Shah Education Details
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Texas A&M UniversityIndustrial And Systems Engineering With Specialization In Data Science -
Gujarat Technological University (Gtu)Mechanical Engineering
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Gseb Vijaynagar SchoolScience
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Gseb Hbk High School10Th
Frequently Asked Questions about Jay Shah
What company does Jay Shah work for?
Jay Shah works for 6sense
What is Jay Shah's role at the current company?
Jay Shah's current role is Senior Data Scientist.
What is Jay Shah's email address?
Jay Shah's email address is ja****@****ail.com
What schools did Jay Shah attend?
Jay Shah attended Texas A&m University, Gujarat Technological University (Gtu), Gseb Vijaynagar School, Gseb Hbk High School.
What are some of Jay Shah's interests?
Jay Shah has interest in Children.
What skills is Jay Shah known for?
Jay Shah has skills like Python, R, Leadership, Teamwork, Statistical Data Analysis, Microsoft Office, Management, Machine Learning, C, Tableau, Time Management, Data Mining.
Who are Jay Shah's colleagues?
Jay Shah's colleagues are Amish Pandey, Akash Ashraf, Ansagan Taibek, Rashmi Mahavadi, Vrushali Dhavale, Anuj Trivedi, Gabriana Sellers.
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