Sujit Shankar Jaishankar Email & Phone Number
@zsassociates.com
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Who is Sujit Shankar Jaishankar? Overview
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Sujit Shankar Jaishankar is listed as Research And Development Engineer at imec the Netherlands, a with 136 employees, based in Arnhem, Gelderland, Netherlands. AeroLeads shows a work email signal at zsassociates.com and a matched LinkedIn profile for Sujit Shankar Jaishankar.
Sujit Shankar Jaishankar previously worked as Research And Development Engineer at Oneplanet Research Center and Data Scientist at Zs. Sujit Shankar Jaishankar holds Master Of Science - Ms, Computer Science (Data Science), 7.63 from Technische Universiteit Delft.
Email format at imec the Netherlands
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AeroLeads found 1 current-domain work email signal for Sujit Shankar Jaishankar. Compare company email patterns before reaching out.
About Sujit Shankar Jaishankar
I currently work as an R&D Engineer in the Digital Twin team at Oneplanet Research Center (imec) on developing rule based algorithms and ML models for autonomous indoor farming in greenhouses. Making use of weather forecast, historical weather and sensor data, the model aims to provide setpoints for temperature, humidity, irrigation and actuator control to the greenhouse based on optimal plant empowerment characteristics driven through pipelines developed on Azure.As a data scientist with 3+ years of experience, I specialize in Data Science, Statistical Analysis, Machine Learning Modelling, Predictive Modelling, Data Analytics, Data Mining, and Data Visualizations using Python and R.I worked as a Data Scientist at ZS primarily dealing with creation and deploying models for improving the Clinical Trial Optimization process for a big pharma client. I am a hardworking and ambitious individual with great passion for Data Science and Analytics. I have graduated with a MSc in Computer Science (Data Science) from TU Delft. Based on the experiences garnered thus far, I have displayed proficiency in handling requirements gathering, design specification and helping transform business requirements appropriate data formats and analytics/ML models. My expertise lies in building models, developing data mining and reporting solutions which are highly palatable to non-technical personnel/clients adeptly using both structured and unstructured data.I have successfully managed the entire data science project life cycle, initiating and actively participating in all stages including data acquisition, data cleaning, data engineering, exploratory data analysis, data engineering, feature scaling, feature engineering, statistical and machine learning modelling, testing and validation and data visualization.With a strong grasp over Python libraries such as TensorFlow, Keras, Pandas, Numpy, Scikit, SciPy, Matplotlib and Seaborn, I am equipped to take on complex tasks in order to provide stable and robust deliverables. In addition, I possess basic working knowledge of Amazon Web Services, Lambda deployment and Cloud Data Management, further enhancing my repertoireMy skill set includes developing machine learning models like Regression, SVM, KNN, LSTM, Random Forest, XGboost, Clustering, Classification etc. I also possess basic proficiency in Generative AI - Large Language modelling, Prompt Engineering etc which help me tackle diverse business problems.
Sujit Shankar Jaishankar's current company
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Sujit Shankar Jaishankar work experience
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Research And Development Engineer
I currently work as an R&D Engineer in the Digital Twin team at Oneplanet Research Center (imec) on developing rule based algorithms and ML models for autonomous indoor farming in greenhouses. Making use of weather forecast, historical weather and sensor data, the model aims to provide setpoints for temperature, humidity, irrigation and actuator control to the greenhouse based on optimal plant empowerment characteristics driven through pipelines developed on Azure.
Data Scientist
Worked as a Data Scientist as part of the R&D AI space at ZS. Primarily deal with building ML models on Domino workspaces and AWS to deploy them as part of Clinical Trial Optimization for the client. Make use of clinical trial data, trial protocol documents, responses from Health Authorities (FDA, EMA etc) and other open source data bases to provide recommendations to Clinical Trial Design team to improve the design process speed, reduce amendments from Health Authorities and help improve decision making during trial design.
Data Analyst
Developed AWS Lambda PoCs for internal projects. Provide support for exploratory data analysis for the Analytics team.
Research Intern
Worked as Intern at INSYGHT Lab as part of Master Thesis. Developed interactive design patterns for ethical decision making support by robots in Human-Robot Interaction. Affective displays and rule base created in Python. Verified conceptual hypothesis using PCA and Confirmatory Factor Anaysis resulting in valid research based questionnaire that measures perception, usability and acceptability of robots in ethical decision making. Statistical analysis and hypothesis testing (PCA, CFA, ANOVA) carried out using R.
Trainee Analyst
Industrial training at Kaashiv Infotech. Trained in R Programming. Carried our Exploratory Data Analysis and Factor Analysis to determine knowledge absorption and retention of previous trainees using surveys. Analysis carried out using R.
Intern
Internship at HCL on Java. Developed descriptive education modules for easier teaching. Underwent training and worked on developing educational material used in assisting teachers. For eg. created NBody Simulation Model.
Colleagues at imec the Netherlands
Other employees you can reach at imec.nl. View company contacts for 136 employees →
Chengyao Shi
Colleague at Imec The NetherlandsNetherlands
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Silvina Gabriela Gutierrez
Colleague at Imec The NetherlandsArgentina
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Ran Li
Colleague at Imec The NetherlandsNetherlands
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Philipp Schnepel
Colleague at Imec The NetherlandsEindhoven, North Brabant, Netherlands
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Ilde Lorato
Colleague at Imec The NetherlandsNetherlands
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PD
Paul Detterer
Colleague at Imec The NetherlandsAachen, North Rhine-Westphalia, Germany
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HX
Haoming Xin
Colleague at Imec The NetherlandsEindhoven, North Brabant, Netherlands
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JM
John Morales
Colleague at Imec The NetherlandsLeuven, Flemish Region, Belgium
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Martin Charvat
Colleague at Imec The NetherlandsEcht, Limburg, Netherlands
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LJ
Luna John
Colleague at Imec The NetherlandsSan Jose Del Monte, Central Luzon, Philippines
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Sujit Shankar Jaishankar education
Master Of Science - Ms, Computer Science (Data Science), 7.63
Bachelor’S Degree, Computer Science And Engineering, 9.69
High School Diploma, Computer Science Stream, 93.5%
Frequently asked questions about Sujit Shankar Jaishankar
Quick answers generated from the profile data available on this page.
What company does Sujit Shankar Jaishankar work for?
Sujit Shankar Jaishankar works for imec the Netherlands.
What is Sujit Shankar Jaishankar's role at imec the Netherlands?
Sujit Shankar Jaishankar is listed as Research And Development Engineer at imec the Netherlands.
What is Sujit Shankar Jaishankar's email address?
AeroLeads has found 1 work email signal at @zsassociates.com for Sujit Shankar Jaishankar at imec the Netherlands.
Where is Sujit Shankar Jaishankar based?
Sujit Shankar Jaishankar is based in Arnhem, Gelderland, Netherlands while working with imec the Netherlands.
What companies has Sujit Shankar Jaishankar worked for?
Sujit Shankar Jaishankar has worked for Imec The Netherlands, Oneplanet Research Center, Zs, Databeat.Io - #4 Fastest Growing Company In India (Deloitte Top 50), and Technische Universiteit Delft.
Who are Sujit Shankar Jaishankar's colleagues at imec the Netherlands?
Sujit Shankar Jaishankar's colleagues at imec the Netherlands include Chengyao Shi, Silvina Gabriela Gutierrez, Ran Li, Philipp Schnepel, and Ilde Lorato.
How can I contact Sujit Shankar Jaishankar?
You can use AeroLeads to view verified contact signals for Sujit Shankar Jaishankar at imec the Netherlands, including work email, phone, and LinkedIn data when available.
What schools did Sujit Shankar Jaishankar attend?
Sujit Shankar Jaishankar holds Master Of Science - Ms, Computer Science (Data Science), 7.63 from Technische Universiteit Delft.
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