Kajal Jain Email & Phone Number
@intel.com
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Who is Kajal Jain? Overview
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Kajal Jain is listed as Data Scientist II at Intel Corporation, a with 114813 employees, based in Austin, Texas, United States. AeroLeads shows a work email signal at intel.com and a matched LinkedIn profile for Kajal Jain.
Kajal Jain previously worked as Data Scientist at Intel Corporation and Graduate Teaching Assistant at The University Of Texas At Arlington. Kajal Jain holds Master'S Degree, Management Information Systems, General, A from The University Of Texas At Arlington.
Email format at Intel Corporation
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AeroLeads found 1 current-domain work email signal for Kajal Jain. Compare company email patterns before reaching out.
About Kajal Jain
At Intel Corporation, our team has honed an innovative approach to data mapping and integrity across business units, ensuring a unified data model that enhances predictability for bug tracking and supports a robust bug-to-sighting framework. These efforts have culminated in the deployment of a forecasting and regression framework, which now serves as a predictive tool for future headcount in manufacturing, validation, and design teams.My role leverages my competencies in SQL, Python, and analytical visualization, developed through rigorous application and experience. This has led to a 20% increase in product performance through data analysis innovations. As a data governance authority, we ensure the strict implementation of policies and standards, all while fostering a culture of compliance and excellence in data science.
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Kajal Jain work experience
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Data Scientist
CurrentData Preparation & Collaboration• Implemented preliminary steps of data mapping across business units to establish a cohesive data model. Validated the domain data request from stakeholders, reducing data duplication by 25%, which enhanced data accuracy.• Led the standardization & integration of data sets, establishing governance protocol to enhance traceability & consistency. Data Analysis and Interpretation• Engineered scope model to assess the complexity & reusability of a new chip feature. Bucketed the complexity into ranges which enabled prediction of project timeline from Design to PRQ resulting 17% improvement in schedule accuracy.• Developed predictive model for future product scope with minimal inputs from architects, reducing an hour-long job to be achieved in few minutes with accuracy of 80%.• Deployed end-to-end forecasting & regression framework on the headcount historical data of DEG Business Unit, forecasting headcount for future years for manufacturing and validation team, led to cost saving of $500K annually. Data Visualization & Storytelling• Created one-click dashboards for automated reports and tracked KPIs for bugs and performance, which saved 100+ hours each qtr. spent on manual reporting, which significantly reduced the time spent on correcting data manually.• Streamlined reporting process by automated data collection & visualization, providing real time insights to business units.
Graduate Teaching Assistant
• Helping with continuous development and design of schedule in a manner supporting a practical-led approach to student learning and delivering range of tutorials and techniques to assist transfer of knowledge at graduate level. • Responsible for grading, writing assignments and term papers. Guided students through problems and concepts by holding one-on-one sessions.
Product Development Engineer Graduate Intern (Data Analyst)
• Developed & deployed a web-based tool for analytical visualizations enabling business users to monitor critical quality parameters, resulting in a 15% increase in user engagement• Conducted analysis from business questions through SQL queries to communication of results. • Implemented data normalization to resolve data discrepancies such as outliers & skewed datasets.• Automated data extraction scripts for weekly updates, performed statistical and exploratory analysis, and communicated the result through standardized dashboard. • Enabled email alarm by deploying ML Algorithm and predictive modeling technique for automation purposes to detect anomaly which led to 25% reduction in a false email alert.• Conducted ad-hoc analysis on manufacturing data to predict future drift using time series analysis in conjunction with machine learning algorithms.• Managed JIRA to track task progress and communicate status updates, ensuring efficient project execution and team collaboration.
Academic Tutor
• Present daily one-on-one academic training sessions in Data Mining, Statistic, Algebra & prepare customized lesson plans.• Assisting with the upkeep of the tutoring facilities and promotion of tutoring facilities.• Researching and creating a curriculum that caters to the students learning needs and preferences
Business Data Analyst/Data Management Specialists
• Supported the business in terms of evaluating information & incorporating best practices for staying current on the competitive market.• Researched, analyzed & recommended data conversion strategies as required, performed the role of an advisor.• Interpreted data and made a conclusion that was presented in a visual format using tools like Tableau.• Identified discrepancies in inventory data for the retail store and made recommendations on corrective actions. • Converted manual data to worksheets, cutting the cost of preparing reports by eliminating unnecessary paper copies and enhancing operational efficiency by 35%, used Excel to create reports for ad-hoc client requirements using pivot table.• Designed interactive Tableau dashboards outlining various business metrics and assisted leadership in taking strategic decisions leading to boosting sales by 7%.
Executive Trainee
• Created different modules for database, systematically arranged in discrete categories in the system used for monitoring and controlling various transactions in the library, for Library Management System. • Helped in assisting in the creation of methods for the preservation and organization of a huge database, and creating automated systems responsible for checking the overall processing and functions in the library, includes the availability of the book, fine charged for late submission of the book, number of books issued to the user, etc... increases efficiency further for saving approximately 12 man-hours daily. • Ensuring maintenance of data integrity, data security.
Colleagues at Intel Corporation
Other employees you can reach at intel.com. View company contacts for 114813 employees →
Miroslav (Miro) Shapiro
Colleague at Intel CorporationHaifa District, Israel
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NP
Nakia Porter, Ms, Cc
Colleague at Intel CorporationGreater Sacramento, United States
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DP
Dennis Paredez
Colleague at Intel CorporationSan Jose, California, United States
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Shannon Patton
Colleague at Intel CorporationPortland, Oregon, United States
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SW
Sebastian Winkel
Colleague at Intel CorporationLos Altos, California, United States
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HL
Hemant Lingnurkar
Colleague at Intel CorporationPortland, Oregon Metropolitan Area, United States
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GM
Georgia Modoran
Colleague at Intel CorporationHillsboro, Oregon, United States
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Paweł Matosek
Colleague at Intel CorporationGdańsk, Pomorskie, Poland
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CD
Carmelita Dunican
Colleague at Intel CorporationCounty Offaly, Ireland
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AD
Arthi Danabal
Colleague at Intel CorporationSanta Clara, California, United States
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Kajal Jain education
Master'S Degree, Management Information Systems, General, A
Bachelor Of Technology - Btech, Computer Science, A
Frequently asked questions about Kajal Jain
Quick answers generated from the profile data available on this page.
What company does Kajal Jain work for?
Kajal Jain works for Intel Corporation.
What is Kajal Jain's role at Intel Corporation?
Kajal Jain is listed as Data Scientist II at Intel Corporation.
What is Kajal Jain's email address?
AeroLeads has found 1 work email signal at @intel.com for Kajal Jain at Intel Corporation.
Where is Kajal Jain based?
Kajal Jain is based in Austin, Texas, United States while working with Intel Corporation.
What companies has Kajal Jain worked for?
Kajal Jain has worked for Intel Corporation, The University Of Texas At Arlington, Himanshu Jeans, and Infosys Campus Connect.
Who are Kajal Jain's colleagues at Intel Corporation?
Kajal Jain's colleagues at Intel Corporation include Miroslav (Miro) Shapiro, Nakia Porter, Ms, Cc, Dennis Paredez, Shannon Patton, and Sebastian Winkel.
How can I contact Kajal Jain?
You can use AeroLeads to view verified contact signals for Kajal Jain at Intel Corporation, including work email, phone, and LinkedIn data when available.
What schools did Kajal Jain attend?
Kajal Jain holds Master'S Degree, Management Information Systems, General, A from The University Of Texas At Arlington.
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