Jitesh Pabla, MS

Data Scientist

Las Vegas, Nevada, United States6 yrs experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 5+ years of experience in data science and machine learning.
  • Expert in transforming complex data into actionable insights.
  • Proven track record in improving data processing efficiency.
Stackforce AI infers this person is a Data Science and Machine Learning expert with a strong focus on data engineering and analytics.

Contact

Skills

Core Skills

Data ScienceMachine LearningData EngineeringData VisualizationSoftware Development

Other Skills

Adobe PhotoshopAlteryxAmazon Web Services (AWS)Apache SparkArtificial Intelligence (AI)BERTBashC++CSSCascading Style Sheets (CSS)Community OutreachData AnalysisData MiningDeep LearningETL

About

Data Scientist with a passion for transforming complex data into actionable insights. With a Master’s in Computer Science and 5+ years of experience in data science and machine learning, I thrive on solving challenging problems that drive business growth and innovation. I'm always exploring new technologies and methodologies to stay at the forefront of the data science field. I'm keen to connect with professionals who are as excited about the power of data as I am!

Experience

6 yrs
Total Experience
2 yrs
Average Tenure
4 yrs 10 mos
Current Experience

Mgm resorts international

3 roles

Data Scientist II

Mar 2025Present · 1 yr 3 mos

Machine Learning Engineer / Data Scientist

Sep 2023Apr 2025 · 1 yr 7 mos

  • Personalization and Recommendations
Data AnalysisPySparkPython (Programming Language)LeadershipData ScienceMachine Learning

Machine Learning Engineer / Data Engineer

Aug 2021Sep 2023 · 2 yrs 1 mo

  • Collaborated with cross-functional teams to identify and integrate critical customer data attributes into a Customer Feature Store (CFS), enabling more precise segmentation and behavioral analysis for over 100 million customers.
  • Migrated legacy SQL processes from Teradata and SSIS-packages to scalable PySpark workflows, orchestrating some with Airflow and others with Databricks-jobs, significantly improving data processing efficiency and laying the groundwork for advanced machine learning and statistical modeling initiatives.
  • Developed a dynamic PowerBI dashboard to continuously track key attributes in the CFS, enabling proactive anomaly detection and accelerating data issue resolution by up to two days.
  • Pioneered an automated data cleanup and vacuuming policy across multiple Azure storage types (DBFS, ADLS, Azure Blob Storage), utilizing Python scripting to reduce MoM storage costs by 40%.
  • Improved data quality by creating a PowerBI dashboard to monitor changes and abnormalities in high-impact business data attributes, resulting in preemptive data issue resolutions by up to two days.
ScalaData AnalysisApache SparkSQLExtract, Transform, Load (ETL)Microsoft Azure+3

Arizona state university

2 roles

Data Engineer

Nov 2020May 2021 · 6 mos

  • Migrated the data of over 28 websites from Drupal 7 to Drupal 9 with migration tools by creating YAML ETL pipelines and utilizing SQL to understand and manipulate the large database.
  • Designed and implemented the ASU's crimeandjusticenews.asu.edu website using up-to-date ASU web standards and front-end design.
  • Increased team productivity by 10% through efficient Kanban board management.
Web DevelopmentExtract, Transform, Load (ETL)Product ManagementData Engineering

Machine Learning Research Assistant

Jan 2020May 2020 · 4 mos · Arizona, United States

  • Classified 50k COVID-19 articles related to vaccines and therapeutics by scraping Google search results to obtain noisy data and training a scientific-text-based Bidirectional Encoder Representations from Transformers (BERT) model called SciBERT.
  • Ranked COVID-19 articles for queries relevant to vaccines and therapeutics by utilizing BERT as an embedding generator and finding each article’s Cosine similarity with keywords related to vaccines and therapeutics.
  • Identified Randomized Controlled Trials (RCTs) from over 50k highly imbalanced PubMed articles by modifying the BERT architecture and manipulating its inputs along with various NLP techniques using PyTorch and transformers.
  • Implemented a visualization to understand BERT’s attention architecture and the effects of modifications made on its inputs.
Machine LearningDeep LearningData AnalysisPythonData Mining

Google summer of code

Software Engineer

Jun 2018Aug 2018 · 2 mos

  • Refactored the core functionalities of LuaRocks commands for - listing, uninstalling, and showing details of packages, searching and installing rocks from the web, opening documentation, linting the rockspec, selecting a rock-tree, etc., to modularize them.
  • Programmed a complete Application Programming Interface (API) to provide access to the LuaRocks functionality using Object-Oriented design patterns and used Git extensively for contributing to the main code-base.
  • Designed a responsive and interactive web-based GUI using HTML, CSS, Bulma, and Vue.js to give access to the LuaRocks functionality. Interfaced the GUI with the LuaRocks-API in the backend using CGILua.
LuaFront-end DevelopmentGitSoftware Development

Team computers

Data Scientist

Aug 2017Dec 2017 · 4 mos

  • Boosted prospective car sales by up to 19% by predicting prospective car customers using car sales and inquiry data with millions of data points spanning one year using time series features and logistic regression classification
  • Supported senior data scientists and analysts on high-impact client projects—leveraging advanced techniques such as one-hot encoding, moving averages, linear regression, spectral clustering, and ARIMA on complex multimodal datasets using Pandas, Scikit-learn, and Alteryx, thereby deepening my ability to transform intricate data into strategic insights.
Machine LearningData AnalysisAlteryx

Rannlab technologies pvt. ltd.

Machine Learning Engineer

Jun 2017Aug 2017 · 2 mos

  • Applied machine learning models like - K Nearest Neighbours (KNN), Support vector machines (SVMs), logistic regression, etc. for classification on various datasets from Rannlab Technologies’s clients by utilizing NumPy, Pandas, and Scikit-learn.
  • Spearheaded the creation of a chatbot by implementing a seq2seq model using TensorFlow to showcase it to potential company clients.
Machine LearningDeep LearningData AnalysisPython

Umeed a drop of hope

Marketing Intern

Dec 2015Jan 2016 · 1 mo

  • Marketed about the Umeed NGO to people ranging from school students to senior citizens.
  • Assisted more than 20 people to register as a volunteer for the NGO.
  • Went to very low-income regions to help and support young children with their studies.
Community Outreach

Education

Arizona State University

Master's of Science — Computer Science

Jaypee Institute Of Information Technology

Bachelor's degree — Computer Science

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