Harsh Shukla Email & Phone Number
@clutch.com
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Who is Harsh Shukla? Overview
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Harsh Shukla is listed as Data Engineer at Clutch, a with 1 employees, based in Lancaster, Pennsylvania, United States. AeroLeads shows a work email signal at clutch.com and a matched LinkedIn profile for Harsh Shukla.
Harsh Shukla previously worked as Director of Sports Science Data at Barwis and Research Assistant at The Data Systems And Optimization Laboratory At The School Of Computing At Depaul University. Harsh Shukla holds Master Of Science - Ms, Data Science With Computational Methods from Depaul University Jarvis College Of Computing And Digital Media.
Email format at Clutch
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AeroLeads found 1 current-domain work email signal for Harsh Shukla. Compare company email patterns before reaching out.
About Harsh Shukla
Proven team leader, data scientist, analyst, and engineer with broad, collaborative capabilities. Experience in working with large, unorganized and complex datasets in domains such as healthcare, pro sports, finance, public records, surveys and customer behavior. Experience in building complex algorithms with minimal processing time. Able to explain analytical solutions using effective visualization to a wide range of audiences in a clear and precise manner. Agile, results-oriented, entrepreneurial, collaborative mindset.
Listed skills include R, Python, Data Analysis, Predictive Analytics, and 8 others.
Harsh Shukla's current company
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Harsh Shukla work experience
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Data Engineer
CurrentDesign & implement automated ETL pipelines on Google Cloud Platform.Leverage DataOps tools to facilitate automated configuration & deployment of data services & platforms.Work with product & business teams to design & support our self-service dashboardsDevelop automated data quality checks for source & target dataSupport & improve data science processes.Maintain documentation, data & code testing.Understand and implement data security & protection practices.Advocating for best practices & laterally enforce the strengths of the Decision Sciences team.
Director Of Sports Science Data
Performance Data Scientist for the Grand Rapids Griffins (American Hockey League) and the Detroit Redwings (National Hockey League), in cooperation with Barwis Methods Training Centers. Accountabilities/Results • Developed and implemented custom API data pipelines to bring performance device data to current third-party Athlete Management System (AMS). • Developed custom design of individual performance dashboard for athletes, coaching staff, and performance staff for day-to-day and period performance reporting. • Implemented Google cloud-based custom server to maintain data pipelines. • Implemented custom recommender engine within data pipeline to optimize fast processing of performance improvement through automation. • Lead contact and daily consulting with third party AMS provider/vendor. Design of first generation AMS • Designing and building a custom architecture, first generation Athlete Management System (AMS) to track, store, and analyze athlete performance data. • Lead contact and progress monitoring for 3rd party developers. • Designed a dynamic reporting platform with custom reference lines and other important features to improve reporting. • Developed 3rd party devices data integration with live data feed and API development.
Research Assistant
Researched and gathered data for various resources.Clean and organize data, calculate feature and perform various analysis to leverage insights from data.Performed multiple analytical methods to find similar in trademark registration.Image processing, Finding structural similarity in images, Color pallet recognition.
Classroom Tech Assistant
Worked with customers to understand requirements and provide exceptional service.Performed various administrative functions, including preparing reports, handing equipment orders, inventory maintenance.Analyzed classroom equipment and software issues to identify troubleshooting methods needed for quick remediation.Mentor to new recruits.
Data Analyst
Coordinated statistical data analysis, design, and information flow.Corrected any data entry errors to prevent future issues, e.g., duplication or data degradation. Built library of models and reusable knowledge-based assets to product consistent, streamlined business intelligent results.Applied statistical and algebraic techniques to interpret key points from gathered data.Researching domain and gathering data from repositories. Clean, pre-process and organize data.Build up predictive models [Linear -polynomial -logistic regression, decision trees].Worked with SQL, Excel [Pivot tables, add on data analytics package], Python [Sk-learn, NumPy, Pandas]
Harsh Shukla education
Master Of Science - Ms, Data Science With Computational Methods
Bachelor Of Engineering - Be, Information Technology
Frequently asked questions about Harsh Shukla
Quick answers generated from the profile data available on this page.
What company does Harsh Shukla work for?
Harsh Shukla works for Clutch.
What is Harsh Shukla's role at Clutch?
Harsh Shukla is listed as Data Engineer at Clutch.
What is Harsh Shukla's email address?
AeroLeads has found 1 work email signal at @clutch.com for Harsh Shukla at Clutch.
Where is Harsh Shukla based?
Harsh Shukla is based in Lancaster, Pennsylvania, United States while working with Clutch.
What companies has Harsh Shukla worked for?
Harsh Shukla has worked for Clutch, Barwis, The Data Systems And Optimization Laboratory At The School Of Computing At Depaul University, Depaul University, and Web Big2Day.
How can I contact Harsh Shukla?
You can use AeroLeads to view verified contact signals for Harsh Shukla at Clutch, including work email, phone, and LinkedIn data when available.
What schools did Harsh Shukla attend?
Harsh Shukla holds Master Of Science - Ms, Data Science With Computational Methods from Depaul University Jarvis College Of Computing And Digital Media.
What skills is Harsh Shukla known for?
Harsh Shukla is listed with skills including R, Python, Data Analysis, Predictive Analytics, Strategic Communications, Sas, Mysql, and Spss.
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